Trusted by enterprises in 15+ countriesEst. 2019 · Chennai · ISO 27001 · SOC 2 Type II
AI & Modernization Practice — now accepting Q3 engagements
Accelerating tomorrow's
innovations, today.
Pi One is a digital transformation partner helping enterprises apply AI and modernize legacy stacks — without the rip-and-replace drama. We combine cloud, data, and AI engineering into one accountable team.
The documentation backbone for Indian drone manufacturers — turning complex DGCA Type Certification requirements into clear, structured, submission-ready dossiers from D-1 through final approval.
OmniBlend unifies ERP, LIMS and SCADA into one digital twin — raw-material receipt to finished-drum dispatch, queryable in seconds. The first Single Source of Truth purpose-built for lube oil blending.
Lumora fuses live satellite data, IoT, GeoAI, LiDAR and blockchain into a Living Spatial ESG Twin — independent, always-on, audit-ready intelligence for every asset and supply-chain node on the planet.
ORIZ keeps patients on protocol, on follow-up, and on their doctor's words — long after they leave the clinic. Hospital EMR as the source of truth. Counsellor as the human authority. Doctor's own voice, in the patient's own language, as the therapeutic thread.
[ Impact · at a glance ]Production-grade AI & modernization delivered across industries.
40%
Faster diagnosis · healthcare deployments
75%
Fraud reduction · financial services
60%
Faster customer onboarding · fintech
Selected enterprise partners & platforms
Microsoft AzureAWSDatabricksSAPPowerBIOpenAI
[ 01 · What we do ]
AI and modernization, engineered together — not bolted on.
Most AI pilots fail because the systems underneath aren't ready. We fix both sides of the equation — modernize the stack, then put AI where it moves the business.
01 / Flagship practice
AI & legacy modernization.
Production-grade AI systems — RAG, document intelligence, agent workflows, copilots — built on top of modernized cloud-native foundations. We replatform, refactor, and embed intelligence where it compounds.
“Pi One helped us reduce fuel costs and cut average delivery times across 15 countries — without replacing a single piece of our core stack.”
L
Client reference
VP Engineering · Global Logistics Group
60%
Faster onboarding — fintech deployment
85%
Higher conversion — retail personalization
[ 04 · How we work ]
A method, not a methodology.
STEP 01
Diagnose
Two-week architecture & data audit. You leave with a risk map, a cost map, and a one-page plan.
STEP 02
Design
Target state for cloud, data, AI or app layer — with migration paths, guardrails, and measurable SLAs.
STEP 03
Deliver
Agile squads, weekly demos, observable progress. No phantom milestones. No hidden scope.
STEP 04
Sustain
Managed run, FinOps, continuous modernization — so value compounds long past go-live.
[ 05 · Strategic hiring ]
The right engineers, when you need them.
Modern transformation demands speed and precision. Pi One surfaces verified, interview-ready talent — so your cloud, AI, and data programs never lose momentum. We handle screening, background checks, and availability confirmation. You focus on closing the hire.
Every candidate verified for skills, availability, and credentials before you see a profile. No resume grinding — just high-value conversations.
B / Expertise
Deep pools in cloud, AI, data & DevOps
Pre-built benches of cloud architects, AI engineers, and data specialists — the same stack our delivery teams use every day.
C / Flexibility
Contract, C2H, or permanent
Scale teams for project spikes, innovation sprints, or long-term modernization. No lock-in, no friction between models.
72h
Average shortlist turnaround time
95%
Candidates pass client interviews
500+
Vetted engineers on active bench
12mo
Guaranteed replacement window
Contract staffing
3–12 mo
Scale teams rapidly for project spikes, innovation sprints, or transformation initiatives without permanent headcount impact.
Engineers billable from week one
Weekly or bi-weekly invoicing
Full timesheet & compliance handled
Extend, convert, or conclude — your call
Most requested
Contract to hire
6 mo → FTE
Try-before-you-buy with zero conversion fees after the initial period. The lowest-risk way to build a long-term team.
6-month evaluation period
Zero conversion fee after contract ends
Full onboarding & handover support
Replacement guarantee if fit isn't right
Direct placement
Permanent
Executive search and permanent hiring for leadership, architecture, and specialist roles where long-term fit matters most.
Dedicated search consultant
Market mapping & compensation benchmarking
12-month replacement guarantee
Discreet searches on request
Roles we place — every week.
Specialized in the skills that matter for cloud, AI, and data transformation. From hands-on engineers to solution architects and platform leadership.
Cloud & Infra
Azure / AWS / GCP architects
Kubernetes & platform engineers
DevOps & SRE leads
FinOps specialists
Cloud security engineers
AI & Data
ML / GenAI engineers
Data engineers (Databricks, Snowflake)
LLM & RAG specialists
MLOps engineers
Data scientists
Engineering
Full-stack (MERN, Java, .NET)
Mobile engineers (iOS / Android)
QA & SDET
Solution architects
Tech leads & EMs
SAP & Enterprise
SAP S/4HANA consultants
BODS & migration specialists
PowerBI & BI developers
Salesforce architects
ServiceNow developers
From brief to billable in five steps.
STEP 01
Intake call
Understand the role, stack, timeline, and team dynamics — not just the JD.
Day 0
STEP 02
AI-assisted sourcing
Match against our bench and run targeted search. Pre-screen for skills and intent.
Day 1–2
STEP 03
Technical vetting
Live coding, architecture reviews, and reference checks by our own senior engineers.
Day 2–3
STEP 04
Shortlist delivered
3–5 interview-ready profiles with vetting notes, availability, and expected rate.
Day 3
STEP 05
Onboard & support
Contracts, compliance, equipment, and check-ins — through day 90 and beyond.
Day 5+
An engineer yourself? Join our bench.
We work with engineers who want real projects, transparent rates, and a team that actually reads your code. No recruiter noise — just interesting work at interesting companies.
Pi One is your Certification Documentation Partner for Indian drone manufacturers — focused exclusively on turning complex DGCA Type Certification requirements into clear, structured, submission-ready dossiers.
What we cover · DGCA Type CertificationThe documentation backbone for your D-1 application through final approval.
4+Core service tracks from D-1 to TC
100%Aligned with current DGCA CAR formats
1-on-1Dedicated documentation lead per program
The gap
Great drones get delayed by paperwork, not engineering.
India's drone ecosystem is growing fast — but moving from a built-and-flying prototype to a DGCA-approved Type Certificate is where most teams lose months. The technical work is already done. What's missing is a structured path through the documentation.
Where programmes stall
The certification bottleneck isn't the hardware.
DGCA Type Certification demands extensive technical documentation, structured compliance data, and precise requirement mapping. For most manufacturers, that means:
Engineers pulled off R&D to write manuals
Rework cycles from misaligned submissions
Compliance matrices built from scratch, under pressure
Uncertainty on what DGCA actually expects back
Approval timelines that stretch into quarters
What Pi One brings
A single partner for the entire dossier.
We don't design drones and we don't fly them. We do one thing, and we do it end-to-end: turn your technical reality into a Type Certification package DGCA can move on.
Structured documentation aligned to DGCA CAR formats
Requirement-by-requirement compliance mapping
Technical writing that engineers don't have to redo
A clear workflow — from D-1 intake to final approval
Your team stays focused on the product
Core services
Four service tracks. One approval-ready dossier.
Each track is delivered by documentation specialists who have lived inside the DGCA Type Certification process — not generalists learning on your timeline.
01 · Application
D-1 Application support
End-to-end preparation and submission assistance for the DGCA D-1 application — the gateway into the Type Certification process. We structure your intent, scope, and supporting evidence so the application lands complete the first time.
D-1 DraftingScope definitionSubmission review
02 · Technical dossier
Technical dossier development
Compilation of design data, system descriptions, test reports, and compliance matrices into a coherent technical submission. We translate engineering outputs into the language DGCA reviewers expect — without distorting the underlying fact.
All required manuals and records — flight manual, maintenance manual, ICA, configuration records, QA logs — organized, cross-referenced, and version-controlled in line with DGCA formats. One source of truth for the whole programme.
Flight manualMaintenance manualICAVersion control
04 · Alignment
Regulatory alignment
Every document is mapped to current DGCA certification requirements — from initial submission through review cycles to final approval. When the regulation text moves, your dossier moves with it, not against it.
CAR mappingReview cyclesGap analysisFinal approval
The workflow
From first call to Type Certificate, in five structured stages.
Each stage has a defined owner, a defined output, and a review gate — so nothing gets lost between engineering, documentation, and the regulator.
Stage 01
Scoping & gap audit
We map your current documentation against DGCA requirements and identify the gaps, before a single page is written.
Week 1
Stage 02
D-1 application
Draft, review, and submit the D-1 with complete scope, intent, and supporting evidence structured to current format.
Week 2–3
Stage 03
Dossier build
Compile design data, test reports, system descriptions, and manuals into one version-controlled technical dossier.
Week 4–10
Stage 04
Compliance matrix
Requirement-by-requirement mapping, every CAR clause traced to evidence, ready for regulator review cycles.
Week 8–12
Stage 05
Review & approval
Support through DGCA feedback cycles — we track clarifications, revise documents, and close out to Type Certificate.
Ongoing
The value Pi One delivers to your programme.
Avoid delays caused by incomplete or misaligned documentation. Stay focused on engineering and innovation while we ensure your certification package is accurate, complete, and approval-ready.
1 partnerSingle accountable owner for your entire certification dossierEnd-to-end · No handoffs
0 reworkDocuments structured right the first time, against current CARFormat-aligned · Review-ready
100%Compliance mapping — every requirement traced to evidenceTraceable · Defensible
Zero distractionYour engineers stay on the product, not on paperworkFocus preserved · Cadence protected
What's in the dossier
The documents we own for you.
A Type Certification package is a collection of linked deliverables — each with its own format, audience, and evidence trail. Here's the core set Pi One authors, structures, and maintains.
Everything the reviewer opens, ready to review.
We handle the authoring, the formatting, the cross-referencing, and the version control. Your engineering team reviews and signs off — they don't start from a blank page.
When DGCA asks a clarification question on page 112, we know exactly which upstream design document the answer lives in — and we keep every revision traceable.
Our scope is documentation only. We don't certify, approve, or act on behalf of the regulator — we prepare the submission so that your DGCA interactions are about technical merit, not missing paperwork.
07Maintenance manual & ICA Instructions for continued airworthinessManual
08Quality & configuration records Change control, build records, QA logsRecords
Why Pi One
Focused, exclusively, on drone certification documentation.
Generalist consultants stretch across domains. Regulatory advisors stop at advice. Pi One sits in the gap — specialist documentation execution for DGCA Type Certification, nothing else.
01 — Specialised
Drone-only. DGCA-only.
We don't dilute focus across aviation categories or regulators. Everything we produce is calibrated to the Indian drone Type Certification pathway.
02 — Execution
Documentation, delivered.
We author, structure, and version-control the dossier ourselves. You review and approve — you don't ghostwrite over our notes.
03 — Aligned
Regulation in motion.
DGCA rules evolve. Our templates and matrices track current CAR, so your submission is current the day it lands — not the day we started.
04 — Structured
A workflow, not a folder.
Intake, scoping, drafting, review, submission, clarification. Every stage has an owner, an output, and a gate — so nothing drifts.
05 — Engineering-friendly
Minimal disruption.
We work from your existing design data, test logs, and system descriptions — turning what engineers already produce into submission-grade documents.
06 — Accountable
One documentation lead.
Every programme gets a dedicated lead who owns the dossier end-to-end. One contact, one plan, one version of the truth.
Common questions
What most manufacturers ask first.
Short, direct answers to the questions we hear on every initial call.
Q.01Does Pi One certify the drone or act as the approving authority?+
No. DGCA is the certifying authority. Pi One is your documentation partner — we prepare and structure the technical and regulatory documents your Type Certification requires. The certification decision stays entirely with DGCA.
Q.02We already have engineering documents — do we need to redo them?+
Rarely. We work from what you have. The first stage is always a gap audit: we map your existing design data, test reports, and manuals against DGCA requirements and identify what's missing, what needs restructuring, and what's already submission-ready.
The goal is to preserve engineering work, not recreate it.
Q.03How involved does our engineering team need to be?+
Minimal, and structured. We need access to your design data, test evidence, and subject-matter experts for review and sign-off — but we do the authoring, formatting, and cross-referencing ourselves. Your engineers review blocks of the dossier on scheduled cadences, not as an ongoing distraction.
Q.04How long does the process take?+
It depends on the platform complexity and the current state of your documentation. A typical structured programme runs 12–16 weeks from scoping to initial submission, with DGCA review cycles following. We set realistic milestones in the scoping stage — and we don't begin authoring until the gap audit is signed off.
Q.05What category of drones do you work with?+
We work across DGCA drone categories where Type Certification is applicable — small, medium, and large unmanned aircraft systems across civil, commercial, and industrial use cases. The documentation approach adapts to the category; the discipline doesn't.
Q.06How do we get started?+
Book a scoping call. We'll walk through your platform, your current documentation state, and your target certification timeline. If it's a fit, we propose a gap audit as the first engagement — a fixed-scope, fixed-timeline piece of work that tells you exactly where you stand before you commit to the full programme.
Turn your drone documentation into certification success.
Tell us about your platform and where you are in the certification journey. We'll reply within one business day — Chennai / IST.
Pi One · Drone Type Certification · DGCA documentation partner
OmniBlend is the first Single Source of Truth purpose-built for lube oil blending — unifying ERP, LIMS, and SCADA into one digital twin. Raw-material receipt to finished-drum dispatch, queryable in seconds.
Single Source of Truth Digital Twin Predictive Quality OPC-UA Integration SAP Bidirectional LIMS Sync Total Traceability Compliance Vault Single Source of Truth Digital Twin Predictive Quality OPC-UA Integration SAP Bidirectional LIMS Sync Total Traceability Compliance Vault
N° 02 — The Challenge
Two worlds. Zero conversation.
Every lube oil blending plant operates at the intersection of two technological realities that rarely speak the same language — producing inaccurate batch costing, unplanned downtime, and a reactive maintenance culture that quietly eats margin every shift.
A / IT Layer
The Boardroom
Structured, transactional data. Business logic. Monthly reporting cadence. Operates on abstractions of the plant.
SAP · ERP · Finance
CRM · Quality Management
Structured transactions
Business rules first
— The Data Gap —
B / OT Layer
The Control Room
Continuous, real-time time-series data. Physical process logic. Sub-second tempo. Operates on the physics of blending.
SCADA · DCS · PLC
IoT sensors · Inline analyzers
Real-time streams
Process reality first
OmniBlend is the bridge.
A 360° Digital Twin. One platform. One truth.
N° 03 — Foundational Pillars
Four pillars. One unshakeable foundation.
OmniBlend is not a dashboard layer bolted over existing silos. It is an opinionated, purpose-built platform engineered from the data tier up — each pillar solving a fundamental limitation of the legacy LOBP stack.
Pillar 01
Unified Data Architecture
A normalised PostgreSQL schema spanning batches, tanks, recipes, quality results, supply chain and financial data — eliminating every production spreadsheet reconciliation from the floor.
Stack: PostgreSQL 15 · TimescaleDB · Redis 7
Pillar 02
Real-Time OT/IT Bridge
An OPC-UA information model connected to FastAPI REST endpoints, pushing live SCADA data into the digital twin with sub-2-second latency via Redis WebSocket streams.
Stack: OPC-UA · FastAPI · Redis · WebSocket
Pillar 03
AI-Powered Quality Prediction
Machine learning models trained on 200–500 historical batches to predict viscosity, flash point and TBN before a drum is filled. R² > 0.92 validation gate. No more lab-discovered surprises.
Stack: TensorFlow · Scikit-learn · SciPy
Pillar 04
Compliance-Ready Vault
Version-controlled storage for IEC 62443, GAMP 5, ASTM and ISO standards with instant audit-trail generation. Certificates of Analysis produced in under 5 minutes from batch release.
Stack: FastAPI · PostgreSQL · PDF Engine
N° 04 — Platform Architecture
Business meets physics. In real time.
A bidirectional integration fabric that treats the ERP and the SCADA as peers — not as master and slave. OmniBlend is the orchestrator that makes both layers speak a common, canonical language.
Canonical data model. Draft-to-Drum genealogy. ML validation gate. Streaming event log. Audit-vault hash chain.
PostgreSQL + TimescaleDBCanonical
FastAPIBidirectional
Redis / WebSocket<2s
ML GateR² > 0.92
Process Layer — OT
SCADA / LIMS / IoT
Tanks, blending lines, inline analyzers, BMS meters. Time-series at sensor cadence, surfaced as physics.
SCADA / DCSOPC-UA
LIMSBidirectional
Inline analyzersNIR · Visco
BMS / Smart metersEnergy
N° 05 — Platform Modules
From data silos to Single Source of Truth.
Each module is a purpose-built surface over the unified data model — operated by the role that needs it, audited by the system that serves it.
Module 01
Batch Operations Console
Live batch lifecycle from recipe lock to drum fill. Real-time spec tracking, deviation alerts, and inline quality telemetry.
Recipe version control
Inline viscosity & TBN gates
Auto-generated shift reports
Module 02
Draft-to-Drum Genealogy
Single-query traceability across raw material receipt, blending, quality release, packaging and dispatch. Full chain in one view.
End-to-end batch lineage
Material certificate binding
Instant audit-vault export
Module 03
Predictive Quality Engine
ML-based viscosity, flash point and TBN prediction before a batch is locked. Validation gate blocks off-spec releases upstream.
200–500 batch training
R² > 0.92 confidence gate
Continuous retraining
Module 04
Compliance Vault
Version-controlled library of IEC 62443, GAMP 5, ASTM and ISO evidence — with cryptographic audit trail and instant regulator export.
Hash-chained evidence
Audit-ready in <2 hours
Role-scoped access
Module 05
Energy Heatmap
24 BMS readings per meter per day, aggregated into a per-blender energy-intensity score that ties directly to batch costing.
BMS & smart-meter ingestion
kWh-per-batch benchmarks
Anomaly detection on draw
Module 06
COA Studio
Certificates of Analysis auto-generated from the batch-release event. From 2–4 hour manual compilation to sub-5-minute automation.
Branded & regulator templates
Multi-lingual export
Auto-email to customer
N° 06 — Measured Outcomes
Traceability
1query
Draft-to-drum genealogy — replacing manual compilation across three or more systems.
Shift Report Time
<15min
Auto-generated, down from 2–3 hours of supervisor spreadsheet work per shift.
Quality Prediction
>95%
Confidence interval for viscosity and flash point — before the batch is released.
COA Generation
<5min
Automated from the batch-release event — replacing 2–4 hours of manual compilation.
SCADA → UI Latency
<2s
End-to-end, monitored continuously in the Redis / WebSocket layer.
Audit Readiness
<2hr
Automated vault query — down from one to three days of document compilation.
Out-of-Spec Rate
−15%
Reduction within the first six months post go-live — tracked monthly on the quality dashboard.
Manual Spreadsheets
0
All production-related data managed in OmniBlend or SAP. No shadow spreadsheets. Ever.
N° 07 — Compliance & Governance
Compliance is architected in, not bolted on.
OmniBlend treats regulatory alignment as a first-class architectural concern. Standards are version-controlled alongside the platform, audit trails are automatic, and the cyber-physical boundary is hardened to IEC 62443 from day one.
Industrial Cyber
IEC 62443
Computerised Systems
GAMP 5
Lubricant Standards
ASTM · API
Quality Management
ISO 9001 / 27001
"
The lubricants workforce is aging. Decades of process knowledge live in operators' heads, not in any system. OmniBlend's knowledge repository captures and codifies that institutional memory — before it walks out the door.
OmniBlend transforms a traditional, reactive manufacturing facility into an intelligent, data-driven operation — predicting quality outcomes before a drum is filled and ensuring full traceability from raw material to final delivery.
Lumora is Pi One Data's flagship platform fusing live satellite data, IoT, GeoAI, LiDAR, and blockchain into a Living Spatial ESG Twin — delivering independent, always-on, audit-ready intelligence for every asset and supply-chain node on the planet.
Pixel Resolution30cmSub-metre imagery from Maxar & Sentinel-2 at daily cadence.
IoT Endpoints10k+Sensor networks, LiDAR sweeps, and ground-truthing nodes live.
Anomaly Detection<5sEdge–to–alert with autonomous GeoAI triage and routing.
A living, interconnected intelligence layer that turns raw Earth observation data into the neural pulse of transparent, verifiable governance — from single asset to sovereign level.
Core Infrastructure
Observed-First Foundation
Live Sentinel-2 & Maxar satellite passes, IoT sensor networks, LiDAR sweeps, and GIS data form the unbreakable neural backbone. Zero reliance on corporate self-reporting — every metric is independently observable, timestamped, and cryptographically verifiable at the pixel level.
Satellite CadenceDaily
Pixel Resolution30cm–10m
IoT Endpoints10k+
Audit ChainOn-ledger
Live FeedObserved · on-ledger
Planetary Intelligence
Insights roll up from single assets to portfolio and sovereign views — Earth-scale governance from one dashboard.
Integrity by Design
Blockchain-secured, cryptographically signed evidence for every metric. Click any figure → courtroom-ready proof.
Always-On Early Warning
Continuous monitoring with automated alerts into financial and operational systems. Annual reports → real-time governance.
Spatial indicators for social licence, community health, just transition — making the “S” in ESG as observable as the “E”.
Market Context
Five Irreversible Shifts
The forces converging to create the era of Earth-scale governance, and why observed-first ESG intelligence is becoming core infrastructure.
01
Spatial Finance Mainstreaming
Asset-level geospatial insights are now core to underwriting, lending, and portfolio decisions. Financial regulators globally are mandating climate risk disclosure at the asset level — not the corporate average.
02
Observed-over-Reported ESG
Regulators and multilateral development banks increasingly want independent satellite- and sensor-verified evidence over self-disclosures, with greenwashing enforcement continuing to tighten across jurisdictions.
03
Fusion of EO, IoT, AI & Blockchain
Continuous predictive monitoring and immutable audit trails are now practical at scale. The operating stack for always-on ESG intelligence has reached real maturity — no longer a laboratory experiment.
04
AI-Native Automation
Automation is reshaping data ingestion, anomaly detection, risk scoring, and regulatory reporting. Static, manual ESG workflows cannot match always-on observation — and soon they won't be accepted.
05
Sector & Region-Specific Acceleration
Mining, energy, infrastructure, and high-growth regions across Africa, Asia, and MENA are creating demand for resilient monitoring models that can operate where legacy tools stall.
Where the puck is going
ESG capital is moving from reported to observed — and the market is sizing up accordingly.
$35T
Global ESG & climate-risk capital by 2030 requiring asset-level verification
120+
Jurisdictions with enforceable sustainability disclosure mandates in-flight
60%
Reduction in manual ESG reporting effort with GeoAI-native automation
Competitive Advantages
Why Lumora Wins
Seven structural moats rooted in planetary-scale intelligence, regulatory co-creation, and integrity-by-design engineering.
The fastest way to evaluate Lumora is to see it running on your assets. Our ESG intelligence team can spin up a scoped live environment in 48 hours — real imagery, real alerts, real audit trails.
Ready when you are
See Lumora in motion.
Schedule a live platform walkthrough with Pi One Data's ESG intelligence team. See real satellite data, live alerts, and blockchain audit trails — on your own portfolio.
48-hour setupNo corporate self-disclosureAudit-ready from day one
Get in touch
Speak with the Pi One Data team.
Our ESG intelligence team is based in Chennai and works with enterprises, MDBs, and sovereign funds worldwide. Every conversation starts with your portfolio, not a product pitch.
Six integrated technology layers creating a perpetual, tamper-proof intelligence fabric for every asset on Earth.
Data Ingestion Layer
Earth Observation Backbone
Every ESG signal is traceable to its independent source — a satellite pass, IoT reading, or GeoAI model output. No self-reported data enters the system without independent verification.
Satellite · 10m resolution
Sentinel-2 & Maxar DigitalGlobe
Multispectral imagery for NDVI, NDWI, thermal anomaly, deforestation, and urban expansion detection with pass frequency of 5–12 days.
IoT Sensors · 2-second refresh
Ground-Truth Sensor Network
Air quality (PM2.5, NOₓ, CH₄), water quality (pH, BOD, TDS), noise, vibration, and energy metering across all asset perimeters.
LiDAR · Periodic sweeps
3D Terrain & Biomass Mapping
Canopy height, biomass estimation, tailings pond volume, and structural asset monitoring with centimeter-level precision.
GIS · Continuous integration
Geospatial Context Layer
Administrative boundaries, protected areas, community demographics, infrastructure networks, and regulatory permit zones.
Processing & Intelligence
GeoAI + Blockchain Stack
Explainable GeoAI
Interpretable ML models with natural-language explanations and mandatory human review gates. EU AI Act compliant for high-risk applications.
Blockchain Audit Ledger
Immutable, cryptographically signed records for every ESG metric event. Each entry carries satellite pass ID, IoT sensor ID, timestamp, and confidence score.
Open Neural Fabric API
API-first marketplace with native connectors to SAP, Oracle, Workday, CDP, EcoVadis. Turns Lumora into essential infrastructure partners build upon.
Regulatory Framework Auto-MappingLive · Auto-populated via spatial evidence
CSRD / ESRS94%
ISSB / IFRS S1 + S288%
EUDR Deforestation100%
GRI Standards81%
SASB Industry Specific77%
CDP Questionnaire89%
TCFD Alignment92%
EU AI Act Readiness96%
Industry Solutions
Built for Asset-Heavy Industries
Sector-specific playbooks with pre-configured KPIs, alert thresholds, and proven ROI frameworks for the world's most ESG-critical sectors.
For Financial Institutions
"Price climate risk at asset level — before the market does."
Direct integration into lending, underwriting, and portfolio alignment workflows. Asset-level geospatial insights are now core to every investment decision.
Climate-Adjusted Lending
Real-time spatial ESG scores embedded in credit models. Price transition and physical climate risk before markets reprice.
Integration Flow
Lumora → API → Core Banking System → Credit Scoring Engine. ESG scores update with each satellite pass and trigger real-time risk recalibration.
Portfolio ESG Alignment
Roll-up dashboards from single assets to entire loan books. Identify stranded asset risk and green bond eligibility automatically.
Green Bond Provenance
Blockchain-anchored certificates for green bonds and carbon credits. Automated reporting against ICMA Green Bond Principles.
For Regulators & MDBs
"Independent, verifiable evidence that scales globally."
Collaborative pilots and open methodologies with central banks, development finance institutions, and international standard-setters.
Co-Created Regulatory DNAOpen methodology
🇪🇺
European Central Bank
Climate risk stress testing · Pilot active
Active
🌍
World Bank Group
Emerging market ESG infrastructure
Active
🏦
Asian Development Bank
MENA & Asia infrastructure ESG
Pipeline
Pixel-to-Policy TraceClick any ESG number to see its source
Every metric in Lumora carries an unbroken chain of evidence from Earth observation to regulatory disclosure:
1Satellite pixel captured & timestamped
2GeoAI model scores with confidence rating
3Blockchain event logged with cryptographic hash
4ESG metric updated in real-time dashboard
5Auto-populated into regulatory disclosure template
For Asset-Heavy Enterprises
"Turn ESG from cost centre into licence-to-operate advantage."
⚡ Renewables
Solar, wind, and hydro asset monitoring. NDVI buffer zone health, biodiversity impact, community sentiment scoring. ESG avg: 91.4
⛏ Mining
Tailings pond monitoring, dust plume tracking, water discharge permits, land rehabilitation progress. ESG avg: 74.8
🚢 Ports & Logistics
Emissions mapping, vessel tracking, community air quality impact, coastal ecosystem health. ESG avg: 83.1
Deforestation risk (EUDR compliant), water usage intensity, pesticide runoff, smallholder social impact.
🏗 Infrastructure
Construction impact monitoring, community displacement tracking, green infrastructure verification. ESG avg: 86.0
Phased Roadmap
Path to Market Leadership
Three structured phases from foundational deployment to global standard-setting — each phase unlocking new revenue streams and ecosystem depth.
Phase 01 · Now → 18 months
Foundation
Core capabilities, reference status, and regulatory-grade certifications across priority asset classes.
Deploy Living Spatial ESG Twin for renewables, ports, mining & industrial parks
Secure flagship pilots with MDBs, central banks & Tier-1 financial institutions
Publish open geospatial ESG methodology aligned with global frameworks
Achieve EU AI Act readiness & ISSB spatial alignment certification
Zero-manual-entry monitoring with blockchain-secured evidence
In Progress
Phase 02 · 18 → 36 months
Ecosystem Expansion
Vertical solutions, third-party integrations, and emerging-market corridor coverage at scale.
Launch full API suite and third-party GeoAI model marketplace
Release sector-specific playbooks with pre-configured KPIs
Expand to additional asset classes and emerging-market corridors
Certified integrations with SAP, Oracle, Workday, CDP, EcoVadis
Spatial correlation of Scope 1–3 data with satellite-derived insights
Planned
Phase 03 · 36+ months
Global Scale
Standard-setting, sovereign-level dashboards, and dominant market share among asset-heavy corporates.
Position Lumora as cited reference in major regulatory guidance
Launch sovereign-level spatial ESG dashboards for governments
Dominant market share among top asset-heavy corporates
Partner revenue through licensed GeoAI models & ecosystem extensions
Multi-jurisdictional, always-on governance at planetary scale
Horizon
Monetization Model
Three Revenue Streams
💼
Tiered SaaS
Platform access subscription based on asset count and monitoring intensity. Starter, Professional, and Enterprise tiers.
📡
Usage-Based
Per-asset or per-monitored-area pricing for satellite passes, IoT ingestion volume, and GeoAI inference runs.
🤝
Marketplace + Services
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ESG KPI Framework
Measurable outcomes, observable sources.
Every KPI in Lumora is independently observed — not self-declared. Each metric carries a satellite or sensor source, a GeoAI confidence score, and a blockchain timestamp for immutable provenance.
All KPI values on this page are shown as indicative goals for performance monitoring and dashboard design — not as claimed operating results.
Environmental KPIs
The "E" — satellite-verified.
Independently observed from orbit. Carbon, vegetation, water and biodiversity — measured, not declared. No corporate questionnaire required.
02 FEATURE CARDS · 8 INDICATORS
Carbon & Emissions
SCOPE 1–3 · LIVE · SENTINEL-2 + IOT
Carbon Sequestration (tCO₂e/ha/yr)11.2
GHG Reduction YoY (Scope 1+2)−5.3%
Scope 3 Target Progress (vs 2027)38%
Renewable Energy Share62%
Asset
Scope 1
Scope 2
YoY Δ
Source
Gujarat Solar
1,240
480
−8.1%
Sentinel-2
Vizag Port
4,810
2,920
−2.4%
IoT+Sat
Rajasthan Mining
6,400
5,520
+1.2%
IoT only
01Carbon
Nature & Water
NDVI · NDWI · SATELLITE
Vegetation Health — NDVI Target 0.6+0.68 avg
Water Quality Compliance97.8%
Biodiversity Intactness Index88%
Waste Diversion Rate74%
02Nature
Social KPIs
The "S" — observable, not assumed.
Spatial indicators replace survey-based social reporting with measurable, locatable evidence tied to actual operating footprints.
04 INDICATORS
Community Sentiment
78/100
Target ≥ 75 · spatial NLP + survey
On track
03
LTIFR
1.4
Lost time injury rate · Target < 1.0
Above target
04
Supplier ESG Coverage
84%
High-risk tier 1 · Target ≥ 80%
Leading
05
Spatial Equity (Gini)
0.29
Target ≤ 0.35 · distribution fairness
Compliant
06
Governance KPIs
The "G" — blockchain-certified.
Every governance metric carries an immutable ledger entry with full spatial provenance, verifiable by any stakeholder at any time.
04 INDICATORS
Real-Time ESG Score
84.2
Composite · Target ≥ 75
Leading
07
Blockchain Completeness
98.4%
Full traceability · Target ≥ 95%
On track
08
Permit Compliance
99.1%
All jurisdictions · real-time
On track
09
Alert Resolution SLA
94%
Resolved in 48h · Target 98–100%
Trending up
10
Platform Performance
Operational excellence.
How efficiently the Lumora platform itself delivers ESG intelligence — from disclosure automation to forward-looking risk horizons.
04 INDICATORS
Disclosure Efficiency
>60%
Manual effort reduction
Automated
11
Audit Readiness
100%
Metrics with spatial evidence
Full coverage
12
Detection Speed
4.2min
Avg incident detection latency
Real-time
13
Predictive Horizon
5yr
GeoAI ESG risk forecasts
Forward-looking
14
METHOD · I
Independent observation
Every metric sourced from satellite imagery, IoT sensors, or spatial analytics — never self-declared questionnaires.
METHOD · II
GeoAI confidence
Each reading carries a confidence score from our GeoAI stack so underwriters and auditors can weight evidence appropriately.
METHOD · III
Blockchain provenance
Every KPI update is timestamped on-chain with its source, coordinates, and confidence — immutable and independently verifiable.
Market Context
Five Irreversible Shifts
The forces converging to create the era of Earth-Scale Governance — and why Lumora is the synaptic infrastructure that powers it.
01
Spatial Finance Mainstreaming
Asset-level geospatial insights are now core to underwriting, lending, and portfolio decisions. Financial regulators globally are mandating climate risk disclosure at the asset level.
02
Observed-over-Reported ESG
Regulators and MDBs demand independent satellite- and sensor-verified evidence over corporate self-disclosures. Greenwashing enforcement is accelerating globally.
03
Fusion of EO, IoT, AI & Blockchain
Enabling continuous predictive monitoring and immutable audit trails at global scale. The technology stack required for Earth-Scale Governance has only recently reached maturity.
04
AI-Native Automation
Transforming data ingestion, anomaly detection, risk scoring, and regulatory reporting. Manual ESG teams cannot match the speed or accuracy of always-on AI observation.
05
Sector & Region-Specific Acceleration
Especially in mining, energy, infrastructure, and high-growth emerging markets across Africa, Asia, and MENA — where legacy ESG tools cannot operate and leapfrog adoption is possible through edge AI and local data sovereignty architecture.
Competitive Advantages
7 Structural Moats
#
Advantage
Why It's Uncopyable
Real-World Impact
01
Pixel-to-Policy Traceability
Immutable blockchain ledger with cryptographic audit trails for every metric
Every ESG metric carries an unbroken chain: satellite pixel → GeoAI score → blockchain hash → regulatory disclosure. Click any number and see its exact source image and confidence level. Courtroom-ready evidence.
Joint pilots and open methodologies with MDBs, central banks, and standard-setters mean Lumora becomes the de-facto cited reference in CSRD, ISSB, EUDR, GRI, SASB, and CDP compliance guidance.
03
Ecosystem
Open Neural Fabric API
API-first marketplace with native connectors to SAP, Oracle, Workday, CDP, and EcoVadis. Turns Lumora into essential infrastructure that partners and ecosystems build upon — creating deep switching costs.
04
AI Trust
Explainable GeoAI with Human Oversight
Interpretable models with natural-language explanations and mandatory human review gates for high-stakes decisions. Meets EU AI Act high-risk requirements while building the institutional trust regulators demand.
05
Social
Equity & Community Impact Layer
Spatial indicators for social licence, community health, just transition, and sentiment scoring address the “S” in ESG with observable data — critical for emerging markets and MDB project financing decisions.
06
Operational
Always-On Early-Warning Pulse
Continuous monitoring with automated alerts into financial and operational systems. Average incident detection: 4.2 minutes. Moves ESG from annual reporting cycles to real-time synaptic governance and operational shield.
07
Geographic Reach
Emerging-Market Leapfrog Design
Edge AI and local data sovereignty options for low-connectivity environments capture the highest-growth regions — Africa, Asia, MENA — where legacy ESG tools cannot operate. Lumora is purpose-built to run where others stop, making it the only credible ESG intelligence platform for the next billion dollars of sustainable infrastructure investment.
Why the seven compound
Each moat deepens with every new asset monitored, every regulatory pilot run, and every pixel verified — the lead widens over time, it doesn't narrow.
Innovation Pipeline
What's Coming Next
Pi One Data's R&D pipeline for the next generation of Lumora capabilities — from agentic AI to community-powered validation.
In Development
Agentic AI ESG Analyst
Autonomous AI agents that draft complete ESG disclosures backed by spatial evidence — from raw satellite data to board-ready CSRD report with zero human data entry. Estimated 90% effort reduction.
Research Phase
Blockchain Green Bond Provenance
Blockchain-anchored provenance certificates for green bonds and voluntary carbon credits. Every credit traceable to exact forest coordinates, satellite observation, and verification chain.
Planned
Multi-Hazard Predictive Modelling
Advanced climate projection ensembles combining IPCC scenarios with asset-specific exposure data. 1-, 3-, and 5-year physical and transition risk forecasts for every monitored site.
Concept
Community-Powered Validation
Combining citizen science ground-truth contributions with Earth Observation to validate and enhance GeoAI model accuracy — especially in data-sparse emerging market geographies.
Shape the Pipeline
Enterprise clients and research partners can join Lumora's Advisory Council to influence the innovation roadmap.
Request a Demo
See Lumora Live
Schedule a personalised walkthrough with Pi One Data's ESG intelligence team. We'll show you real satellite data, live asset monitoring, and blockchain-certified audit trails tailored to your sector.
45-minute working session — screen-share with a senior ESG engineer, not a sales deck.
Live satellite pass + IoT stream — real Sentinel-2 imagery, real sensor data, real audit chain.
Regulator-ready evidence trail — any metric, from pixel to disclosure, in a single click.
Shortlist of quick-wins — three assets we'd prioritise, and the value each would unlock.
Live Satellite Demo
Watch a real Sentinel-2 pass over an active asset. See NDVI, thermal anomaly, and emission plume detection in real time.
Blockchain Audit Walk-through
Click any ESG metric and trace it back to the exact satellite pixel, IoT reading, and cryptographic hash. Courtroom-grade evidence.
Regulatory Mapping Session
See how Lumora auto-populates CSRD, ISSB, EUDR, and CDP disclosures from satellite data — with 62% less manual effort.
Book your demo
Start the Conversation
Every demo is calibrated to your sector, geography, and regulatory exposure. You'll see live data — not a sandbox — and leave with a shortlist of assets where Lumora would deliver measurable value within 90 days.
Lumora is the ESG intelligence arm of Pi One Technologies — a global technology consultancy trusted by 100+ enterprises. Backed by partnerships with Microsoft, AWS, Nvidia, and Google Cloud.
Visit pionedata.com ↗
A platform for tertiary hospitals · Pilot-ready with leading eye care networks
The care doesn't stop
when the consultation does.
ORIZ keeps patients on protocol, on follow-up, and on their doctor's
words — long after they leave the clinic. Hospital EMR as the source
of truth. Counsellor as the human authority. Doctor's own voice,
in the patient's own language, as the therapeutic thread that ties it all together.
of verbal medical information is forgotten within 24 hours of the visit.
30%
non-adherence to chronic eye medication regimens within year one — glaucoma, post-op, intravitreal.
22
languages spoken by patients walking into a single tertiary eye hospital on any given day.
1
printed sheet — often in a language the patient cannot fully read.
The counsellor can't speak every language. The doctor can't follow every patient home.
The printed sheet is in the glove compartment by Tuesday. The next visit is three months away.
Something has to carry the care across that gap.
— The gap ORIZ was built to close
The Value Statement
Five problems, one platform.
ORIZ is not a voice product. It is a patient-engagement and clinical-intelligence platform
that happens to use voice because voice is how medicine actually happens — in the consultation,
in the dictation, and in the conversation that should follow both.
01
Patient stickiness to your hospital, not to an app store.
Every proactive message, every answered question, every post-counselling bundle arrives
with your hospital's name, your consultant's voice, your brand of care. Patients don't
download anything. They receive care on WhatsApp, in their language, from the
doctor they already trust — and they come back to you for it.
Proactive · in-language · doctor's voice
02
Compliance to protocol and follow-up, measurably improved.
A drop schedule a patient can replay. A follow-up date their family hears, not just reads.
Warning signs that arrive in their own language, within thirty minutes of the counsellor
finishing the record. The verbal instruction no longer evaporates — it becomes
a takeaway the patient carries for thirty days on the device already in their pocket.
The doctor's own voice — in the patient's own language.
When Dr. Ramesh dictates the clinical record, ORIZ preserves the patient-directed segments he
approves — and delivers them to that patient, framed in Hindi or Bengali or Tamil or Telugu.
You no longer need multilingual counsellors for every permutation of condition and tongue.
The counsellor stays. The doctor's trust extends further than any one human day can reach.
No multilingual counsellor bottleneck
04
Structured case summary, ICD & SNOMED codes, written back to your EMR.
The same dictation that powers patient engagement also produces a clean, coded, EMR-ready
case summary — diagnosis, findings, plan, ICD-10 codes, SNOMED CT codes, every one traceable
back to the source phrase. Doctors stop coding and start diagnosing again.
Billing, analytics, quality reporting all get the structured signal they've always needed.
SNOMED precision ≥ 90% · ICD precision ≥ 88%
05
Co-exists with your hospital ecosystem. Replaces no one.
ORIZ integrates with your EMR, your appointment system, your counsellor workflow,
your clinical governance. It writes back; it does not rewrite. Counsellors are
reinforced, not replaced. Consultants approve every note, every code, every voice segment
that reaches a patient. Not at the cost of people. Not at the cost of your current tech.
A platform that slots into your hospital — not one that asks you to rebuild it.
The single most expensive mistake in healthcare AI is a product that demands the hospital reorganise
around it. ORIZ is designed on the opposite principle: every surface we build exists to reinforce
a surface you already have.
For the doctor
A dictation app that writes the EMR.
The consultant dictates after the encounter — as he already does — and the case summary, diagnosis,
ICD and SNOMED codes flow into the EMR on his one-click approval. Less typing. Less coding.
More consultation.
For the counsellor
An echo, not a replacement.
The counsellor's verbal session remains the primary moment of patient care. ORIZ Continuum arrives
thirty minutes later — reinforcing, never contradicting. Every response template is written and
signed off by your own clinical team.
For the patient
WhatsApp. In their language.
No app to download. No login to remember. The hospital reaches them where they already live online
— by name, in the language they registered with, with their doctor's voice as the audio they can
replay for thirty days.
For billing & analytics
Structured codes, traceable to source.
Every ICD-10 and SNOMED CT code flowing to your billing and quality systems cites the exact
phrase from the dictation that produced it. Defensible. Auditable. Ready for population-level
analytics the unstructured note never enabled.
For the supervisor
Every session reviewable.
A unified dashboard. Every proactive message, every voice session, every takeaway bundle routed
to a supervisor within hours. AI is the surface. Your clinical team remains the authority.
For IT & compliance
India-resident. DPDP-compliant.
All patient audio and derived content processed and stored in India. Clinician and dictator identity
fully audit-logged. Hospital is the Data Fiduciary; ORIZ is the Data Processor. Your governance,
enforced end-to-end.
How it fits — from consultation to patient's pocket
Clinical record. Verbal counselling. Standard flow.
ORIZ Prelude
Before
24–48 hours ahead. Patient arrives prepared.
→
ORIZ Presence
During
In the waiting area. Wait-time answered in their language.
→
ORIZ Continuum
After
Within 30 min of counselling. Doctor's voice, replayable.
Your existing systems & people
ORIZ — slots in alongside
The Platform
Six modules. One clinical thread.
ORIZ Scribe captures the dictation. ORIZ Core structures it — into case summaries, ICD and SNOMED
codes, patient-directed engagement notes, and consultant voice segments. Four patient-facing
modules consume from Core to reach the patient before, during, after, and between their visits.
Module 01 · Clinician SurfaceScribe
The dictation app that writes your EMR and powers everything downstream.
A voice-first workstation app used in the consultant's office after the encounter.
The consultant or his intern dictates the clinical record. The same audio stream serves
two purposes — structured clinical documentation for the EMR, and when the consultant
dictates himself, approved voice segments preserved for patient delivery.
Three work items per dictation. Not a content factory — a structurer.
Every dictation produces a case summary for the EMR, ICD-10 and SNOMED CT codes
for billing and analytics, and patient engagement notes in the patient's language
for all four delivery modules. Every output is traceable to a source phrase. No clinical
content is invented. The clinician approves everything.
24 to 48 hours before the visit — a WhatsApp that prepares, then listens.
Proactively reaches every scheduled patient in their registered language. Greets by name.
Confirms the visit. For returning patients, weaves in context from their prior visit —
including the consultant's own voice where a care-continuity segment exists. Opens a
voice channel so the patient can ask preparation questions up to appointment time.
In the waiting area, a voice the patient can actually understand.
A QR code, a WhatsApp link, or the Prelude session continues into the hospital. Patients
ask wait-time questions — where do I go, how long until dilation — in their own language.
Returning patients get care-continuity answers grounded in their own prior visits.
Acute symptoms escalate to waiting-area staff immediately.
QR activationWait-time queriesAcute-symptom escalation
Module 05 · Post-CounsellingContinuum
Within thirty minutes of counselling — a bundle the patient carries for thirty days.
The counsellor completes the EMR record. Continuum assembles a five-component takeaway —
a 60–120 second voice summary in the consultant's own voice, a written summary, a visual
medication schedule, the follow-up appointment card, and condition-specific warning signs
with emergency contact. Delivered to the patient's WhatsApp. Reviewed by a supervisor within six hours.
Voice + text + schedule30-minute deliveryReplayable 30 days
Module 06 · FlagshipAsk Your Eye Doctor
Anytime. Any question. Answered in their language, in their record.
The patient's continuous channel to your hospital between visits. Any question, any
language, any time — answered from the engagement notes their own consultant approved for
their own visit, delivered in the consultant's voice where a matching segment exists and in
clean synthetic voice when not. Red-flag symptoms escalate to a clinician. Every session, reviewed.
Anytime WhatsAppGrounded in patient's recordRed-flag escalation
One Patient, One Arc
Mrs. Sharma's cataract journey, as ORIZ carries it.
A retired schoolteacher in Lucknow. Bengali-speaking. Scheduled for pre-op cataract consultation
with Dr. Ramesh. Here is the journey across three weeks, from her perspective — and how ORIZ
shows up at each moment without ever getting in the way.
Day −2 · Sunday evening
The first message arrives.
Her hospital's EMR has her Tuesday 10:30 AM slot. ORIZ Prelude dispatches a warm
Bengali WhatsApp: "Namashkar, Mrs. Sharma. Agami Mongolbar shokal 10:30 e apnar appointment
aache." She knows what to bring, what to expect, where to go.
Day −1 · Monday night, in bed
She asks. It answers.
She taps the message link. "Amake ki chhosma niye jete hobe?" — do I need to bring my glasses?
The voice reply, in Bengali, confirms: bring all current glasses and prescription history.
Her anxiety eases. She sleeps.
Day 0 · 9:40 AM, in the waiting hall
Wait-time made bearable.
The QR placard on the waiting-room wall. ORIZ Presence session continues from
Prelude. Where is the dilation room? How much longer? Answered in Bengali, from the hospital's
own content library. Front desk stays focused on what only humans can do.
Day 0 · 12:30 PM, taxi home
Dr. Ramesh's voice, on her phone.
Counselling ended at 12:30. By 12:50 — ORIZ Continuum. Ninety-second voice summary in
her doctor's actual voice. Written summary. Visual drop schedule. Surgery date card. Bengali
warning signs. She plays it twice in the taxi. Shows the schedule to her daughter-in-law that evening.
Week 2 · 11 PM, a doubt
A question the clinic is closed for.
Six drops in, she isn't sure if she should take her blood-pressure medication on the surgery
morning. She asks Ask Your Eye Doctor in Hindi. A short Hindi intro — "Dr. Ramesh ne
aapke pichli visit mein yahi kaha tha" — then Dr. Ramesh's own voice from the consultation.
She sleeps.
Week 3 · Follow-up morning
Arrives prepared. Again.
A fresh Prelude message the night before — context from both prior visits, this time
post-op-aware. She arrives with drops, discharge summary, clear sense of purpose. Front-desk
registration is smooth. The care continuum has held.
The Therapeutic Difference
Their doctor's voice. Their own language. No contradiction.
When Dr. Ramesh dictates himself, ORIZ preserves the moments he directs at the patient —
"use these drops twice daily, Mrs. Sharma, for two weeks" — and delivers those moments back
to her, framed in Bengali or Hindi or Tamil by a clean synthetic voice.
Trust doesn't transfer through text. Adherence doesn't improve from a printed sheet in a
language the patient half-reads. But her own doctor's voice, carrying her own regimen, in the
language she actually thinks in — that lands differently. Every literature we've read on
physician-patient communication says the same thing: trust, compliance, perceived care
continuity. All three, amplified by the audio medium itself.
Continuum · Mrs. Sharma · Post-counselling bundle
"Your drops. Your follow-up. Your warning signs — in your own doctor's voice."
Bengali intro · synthetic
"Namashkar Mrs. Sharma, Dr. Ramesh apnar jonno ei message pathiyechen…"
Dr. Ramesh · his own voice
"Mrs. Sharma, your surgery went well. Use the Moxifloxacin drops twice daily for two weeks, and the lubricating drops four times daily…"
What the pilot is measuring — and what your hospital will feel.
ORIZ is built on measurable outcomes, not technology claims. Every module has thresholds.
Every session is reviewable. Here is the change the platform is set up to deliver.
Medication adherence improves.
Replayable voice summaries, visual drop schedules, and doctor-voiced instructions
address the structural drivers of non-adherence at the moment of peak forgetting risk.
Primary metric · 30-day adherence lift
Follow-up pickup rates rise.
Prelude arrives 24–48 hours ahead with context from prior visits. Patients know what
today is for — and they show up prepared, on time, with the right documents.
Primary metric · follow-up attendance
"What did the doctor say?" callbacks drop.
Twenty-plus "what did the doctor say" calls a day to patient services? Those answers now
live on the patient's WhatsApp, in their language, replayable for thirty days.
Secondary metric · inbound call deflection
Doctors stop coding, start diagnosing again.
ICD-10 and SNOMED CT codes auto-extracted from dictation, with clinician approval. The
manual coding step — a notorious time sink — becomes a one-click review.
Operational metric · documentation time reduction
Counsellors serve more patients, better.
The counsellor's verbal session remains primary — but reinforced by a WhatsApp echo
thirty minutes later. No language barrier. No protocol drift. No repeat explanations.
Operational metric · counsellor throughput
Satisfaction, measurable and felt.
Patients hear their doctor. In their language. When they need it. Hospitals report
satisfaction gains that exceed any discharge-instruction intervention we've compared to.
Primary metric · post-visit in-language survey
The Non-Negotiables
Clinical safety is a design principle, not a marketing claim.
ORIZ is built on a hard line: no AI-generated clinical content reaches a patient without an
explicit clinician approval. Not one summary. Not one code. Not one voice segment. Everything
is traceable. Everything is auditable. Everything is reversible.
Clinician-in-the-loop, always.
Every case summary, every code, every voice segment requires explicit clinician approval in Scribe before it moves downstream. No auto-submit. No implicit consent.
No invented clinical facts.
ORIZ structures what the clinician said. It does not infer, suggest, or generate clinical content. Every output traces to a source phrase in the dictation.
Supervisor review on every patient session.
Every proactive message, every Ask Your Eye Doctor session, every Continuum bundle is reviewed by a hospital supervisor within a defined SLA. AI is the surface; your clinicians are the authority.
Red-flag escalation is non-overridable.
Acute symptoms, adverse medication events, emergency keywords — all trigger immediate escalation to a clinician regardless of what the patient was asking about.
DPDP 2023 compliance. India-resident data.
Hospital is the Data Fiduciary. ORIZ is the Data Processor. All patient audio and derived content processed and stored in India. Consultant voice used only under explicit consent with opt-out.
Kill criteria in every module.
Any incident where an incorrect clinical note was written, or an acute symptom went unescalated and resulted in harm, halts the pilot for root-cause review. Published thresholds. No wiggle room.
Ready to see it in your hospital?
The pilot is built. The thresholds are measurable. The value is immediate.
We're partnering with tertiary hospitals ready to run a 90-day pilot — starting with a single
department, a single consultant's workflow, and the Scribe-to-Core value proposition alone.
Patient-facing modules activate in phases, on measured thresholds, with a defined exit criterion at each stage.