EIGNN
Intelligence you own

The AI partnerthat builds and ships.

From AI strategy and custom development to agentic systems — and ScribeAI, our flagship product already in market. We build AI that holds up in production.

Explore ScribeAIGet in touch

The Paradigm Shift

From software to intelligence systems.

Software

Static tools that do what they're told

Intelligence

Systems that learn, adapt, and compound

Dashboards

Rear-view mirrors that report the past

Signal

Forward models that anticipate outcomes

Implementation

Bolt-on AI with no structural foundation

Infrastructure

Intelligence embedded at the system layer

Software

Static tools that do what they're told

Intelligence

Systems that learn, adapt, and compound

Not software.
Not tools.
Not consulting.
Infrastructure
for intelligence.

What Eigenn Is

Eigenn builds the infrastructure layer beneath your AI strategy. Where other vendors add capabilities on top of your stack, we build the substrate — the structural layer that makes intelligence computable, traceable, and systematically compounding.

Every data point, every decision, every model output runs on infrastructure. We make sure yours is built for intelligence — not retrofitted for it.

4
System modules
100%
Traceable outputs
Compounding return

What we do

One AI company. Three ways we help.

01AI Products

We build and ship AI products.

Real products that solve specific business problems — designed, built, and taken to market by our own team. Our flagship, ScribeAI, is in market today.

  • ScribeAI — flagship, in market
  • Product design & engineering
  • Owned, scaled, and supported
See our products
02AI Services

We build custom AI for your business.

From strategy to production systems. We help organizations adopt, build, deploy, and scale AI — tailored to how their business actually works.

  • AI strategy & consulting
  • Custom AI & model development
  • Agentic AI & workflow automation
  • AI integration & modernization
Explore services
03AI Innovation & Partnerships

We partner for the long term.

A trusted AI partner — not a one-off vendor. We identify opportunities, design roadmaps, implement, and scale adoption to create durable competitive advantage.

  • Opportunity discovery
  • AI roadmaps & adoption
  • Long-term partnership
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The Problem / The Solution

Enterprises have AI.
Few have intelligence.

✕  Current State
AI pilots that never reach production
Proof-of-concepts stuck in sandbox forever
Dashboards nobody trusts
Conflicting numbers, no canonical source
Model outputs with no traceable cause
Black-box results that can't be audited
Intelligence siloed in tools, not systems
Point solutions that don't compound
Data teams building for data, not decisions
Pipelines optimised for volume, not value
Vendors that optimize for demos, not outcomes
Impressive pilots, zero production ROI
✓  Eigenn System
Deployment-ready
Models built for production from day one
Single source of truth
One substrate, all intelligence flows through it
Full audit chain
Every output traceable to its exact input
System-layer integration
Intelligence embedded, not bolted on
Decision-first design
Data pipelines built around outcomes
Infrastructure partnership
We own outcomes, not just deliverables
AI pilots that never reach production
Proof-of-concepts stuck in sandbox forever
Dashboards nobody trusts
Conflicting numbers, no canonical source
Model outputs with no traceable cause
Black-box results that can't be audited
Intelligence siloed in tools, not systems
Point solutions that don't compound
Data teams building for data, not decisions
Pipelines optimised for volume, not value
Vendors that optimize for demos, not outcomes
Impressive pilots, zero production ROI

Core Architecture

Three principles. One coherent system.

System Modules

Four modules. One substrate.

01designed
DECISION_ENGINE

Decision Engine

Transforms unstructured decision patterns into computable models. Routes the right data to the right inference layer at the moment a decision needs to be made.

inferenceroutingreal-time
02designed
DATA_SUBSTRATE

Data Substrate

A unified semantic layer across your ERP, CRM, and data warehouse. Normalises schema conflicts, resolves entity ambiguity, and maintains a single ontology.

semanticETLontology
03designed
MODEL_LAYER

Model Layer

Fine-tuned models trained on your organisation's data topology. Not generic LLMs — models that understand your domain, your language, and your decision patterns.

fine-tuningdomain-specificcontinuous
04designed
INTEGRATION_MESH

Integration Mesh

API-first connection fabric that embeds intelligence at system boundaries. Webhooks, event streams, and sync adapters for every major enterprise platform.

APIwebhooksadapters
Flagship product — in market

Meet ScribeAI.

AI answer evaluation for UPSC & State PSC coaching institutes. Students upload handwritten answers; ScribeAI reads them, retrieves syllabus context, and scores content, structure, and language — and every result is checked by the institute's own mentor before the student sees it. Delivered white-label, on your own domain.

Answer & paper evaluationMCQ practiceSmart notes & model answersOMR scanningMentor-in-the-loop reviewWhite-label per institute
Explore ScribeAI →The proof of our approach — built, shipped, and run by institutes every day.
ai.yourinstitute.in
Polity · Answer 3Mentor approved
32/ 40
Overall score
Content17/20
Structure8/10
Language7/10
AI-scored in ~90 seconds — then reviewed by your mentor before the student sees it.

Before / After

What actually changes when you build on
intelligence infrastructure.

Data
Fragmented pipelines
Multiple ETL jobs, no shared schema, weekly batch
Unified substrate
Single semantic layer, real-time, 100% traceable
Fewer pipeline failures
Models
Generic LLMs
Prompt engineering, hallucination risk, no domain context
Domain-tuned models
Fine-tuned on org data, deterministic outputs, auditable
More reliable decisions
Decisions
Spreadsheet logic
Manual analysis, days to insight, key-person dependency
Inference engine
Sub-200ms decisions, automated, zero key-person risk
Real-time, not batch
Integration
Tool sprawl
8+ disconnected tools, duplicate data, no single truth
Integration mesh
One API layer, bidirectional sync, single source of truth
One source of truth

Built For

Infrastructure designed for decision-heavy domains.

Financial Services
Credit risk inference, regulatory compliance models, fraud vector detection
Petabyte-scale transaction data
Healthcare & Life Sciences
Clinical pathway optimisation, diagnostic signal extraction, formulary intelligence
Multi-site longitudinal datasets
Education
Institutional teaching DNA, adaptive learning layers, outcome prediction models
Tens of thousands of learner records
Operations & Logistics
Supply chain decision intelligence, demand eigenvector modelling, route optimisation
Real-time multi-node networks
Legal & Compliance
Contractual obligation extraction, regulatory change detection, audit trail automation
Unstructured document corpora
Professional Services
Engagement intelligence, delivery pattern analysis, capacity modelling
Firm-wide knowledge graphs
Financial Services
Credit risk inference, regulatory compliance models, fraud vector detection
Petabyte-scale transaction data
Healthcare & Life Sciences
Clinical pathway optimisation, diagnostic signal extraction, formulary intelligence
Multi-site longitudinal datasets
Education
Institutional teaching DNA, adaptive learning layers, outcome prediction models
Tens of thousands of learner records
Operations & Logistics
Supply chain decision intelligence, demand eigenvector modelling, route optimisation
Real-time multi-node networks
Legal & Compliance
Contractual obligation extraction, regulatory change detection, audit trail automation
Unstructured document corpora
Professional Services
Engagement intelligence, delivery pattern analysis, capacity modelling
Firm-wide knowledge graphs

The Mathematical Foundation

Av=λv
AThe transformation — your organisation's data environment
vThe eigenvector — the direction that remains stable under transformation
λThe eigenvalue — the scalar that tells you how dominant that direction is

Every enterprise has its own eigenvalue.

In linear algebra, an eigenvalue decomposition reveals the directions along which a transformation acts most powerfully — the axes that remain stable under complexity. We apply this lens to enterprise data.

Most organisations are drowning in high-dimensional data. Eigenn decomposes that complexity — finding the stable directions, the dominant signals, the structural axes of your business — and builds the infrastructure that operates on those axes permanently.

“We don't add AI to your business. We find its eigenvalue.”

The Team

We build the systems others depend on.

Eigenn is built by engineers and scientists who have spent careers building infrastructure that enterprises bet their operations on. We are not AI consultants. We are infrastructure architects.

Every engagement is led by people who have seen what fails in production — and built systems that don't.

Meet the team →
Core Disciplines
ML_SYSTEMS
ML Systems Engineering
DATA_ARCH
Data Architecture
PROD_ENG
Production Engineering
DECISION_SCI
Decision Science
INTEGRATION
Integration Engineering
DOMAIN_EXPERT
Domain Expertise

Intelligence Brief

Long-form thinking.

EIGENN_BRIEF — VOL. 1
Architecture

Why most enterprise AI fails before it reaches production

The gap between AI pilot and production deployment is where most initiatives collapse. The cause is almost never the model — it's the infrastructure beneath it.

Essay read
Theory

The eigenvalue problem in organisational intelligence

Every large organisation is a high-dimensional system. Finding the dominant directions — the eigenvectors of your business — is the fundamental challenge of enterprise intelligence.

Essay read
Engineering

Building inference pipelines that survive contact with reality

Production ML systems fail in ways that benchmarks don't predict. This is what we've learned building inference infrastructure that operates at enterprise scale.

Essay read
EIGENN_SYS // INITIALISE

Find your enterprise's axis of truth.

30 minutes. Your infrastructure. A real technical conversation — not a generic demo.

Book a demo →Our story
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