Your AI is only as good as the data underneath it.
We build the trusted data foundation, knowledge graph and production-grade AI that everything else runs on — governed, compliant and reusable across biotech and any data-heavy industry.
- 2 wks
- from readiness audit to a costed roadmap
- 1
- source of truth across every system
- PoC
- a production-grade pilot in weeks, not quarters
- GxP
- Annex 11, GAMP-5 & EU AI Act ready by default
What it is
Most companies are sitting on AI pilots that never reached the P&L.
The data is fragmented across machines, ERP, MES and documents; every team has its own version of the truth; and AI projects stall because the foundation underneath them is messy, ungoverned and impossible to trust.
Enterprise AI fixes the foundation first. We unify your data, give it context with a knowledge graph, and build the production-grade AI — retrieval, digital twins, custom models — that turns it into decisions you can rely on. Built for biotech and pharma, reusable across any data-heavy industry.
Why your AI never made it to production
AI doesn't fail at the model — it fails at the foundation.
Every fragmented system, every ungoverned dataset and every answer buried in a document is a pilot that stalls before it reaches production.
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01
Fragmented data
Every machine, system and document holds a piece of the truth — and none of them agree.
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02
Pilots that stall
Promising AI experiments that never reach production because the data underneath isn't ready.
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03
No shared context
Models that can't reason about your business because nothing connects the data into meaning.
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04
Answers buried in documents
Critical knowledge locked in PDFs, SOPs and wikis nobody can search at the speed of work.
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05
Ungoverned & risky
No lineage, access control or audit trail — a non-starter in regulated environments.
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06
Reacting, not predicting
Without a live model of your process, you find problems after the fact instead of before.
How we help
Data & AI Audit → Data Platform & AI Build → Data & AI Care
One path, three steps — start wherever you are.
Most clients move Audit → Build → Care. Already have a data platform in place? Go straight from Audit to Build a specific capability.
- 01 Entry
Data & AI Audit
In two weeks, score how AI-ready your data really is — across platform, retrieval and modelling — and get a costed, prioritized roadmap to production.
- Your data landscape, quality and lineage mapped
- An AI-readiness score across your priority use cases
- Governance, security and compliance gaps flagged
- The highest-ROI AI opportunities, ranked
- A costed, sequenced roadmap to production
- 02 Core
Data Platform & AI Build
Build only what you need — a governed data platform and knowledge graph, GxP-validated RAG, digital twins and custom models, production-grade by default.
- A unified data platform and knowledge graph
- GxP-validated RAG assistants on your own documents
- A digital twin of your process or plant
- Custom ML models, deployed to production
- Governance, lineage and access control built in
- 03 Expansion
Data & AI Care
Keep it accurate and accountable. Managed AI-Ops, monitoring, retraining and governance so your models stay trustworthy as your data evolves.
- Managed AI-Ops and model monitoring
- Retraining and drift management
- Ongoing governance and audit-trail upkeep
- Capacity to add new data sources and use cases
Build only what you need
Build is modular — start with the capability that unlocks the most value today and add the rest as you go. Each ships governed and production-grade by default.
Data Platform
One governed, ontology-based platform that unifies every machine, system and document into a single source of truth.
Knowledge Graph
The context layer that turns raw data into meaning your AI can actually reason about.
RAG & Document Processing
GxP-validated retrieval that answers plain-language questions, grounded in your own documents — hours of hunting become seconds.
Digital Twin
A living digital model of your process or plant for near-real-time visibility, simulation and prediction.
Custom AI / ML
Bespoke models — vision, prediction, classification — built on your data and deployed to production.
AI-Ops & Governance
Monitoring, retraining, lineage and access control that keep production AI accurate and auditable.
Clear scope
What's included
- Data platform, knowledge graph and integration
- RAG, digital twin and custom model build
- Governance, lineage and access control setup
- Training, documentation and handover
Handled separately
- Cloud / infrastructure costs (billed directly by the vendor)
- Computer System Validation (handled with a specialist partner)
- Post-deployment AI-Ops — that's Data & AI Care
- Legacy data migration — scoped and quoted separately
What you get
From fragmented experiments to AI you can put into production.
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One source of truth
Unified, governed data every team and every model can trust.
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AI that ships
Production-grade foundations that move pilots out of the lab and into the P&L.
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Answers in seconds
Retrieval and dashboards that put your own knowledge at the speed of work.
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Governed & compliant
Lineage, access control and audit trails ready for regulators and the EU AI Act.
Proof
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Bio-pharmaceutical / Manufacturing
Ontology-Driven Ecosystem for Biomanufacturing Data
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Life Sciences / Biotech R&D
Transforming Raw Bioprocess Data into Actionable Insights
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