We don't sell AI.
We engineer it —
for enterprises that matter.
DataEra builds production-grade AI platforms for regulated industries — continuous GRC, SharePoint cost optimisation, and clinical trial intelligence. Microsoft Azure and Databricks certified. Every product runs privately inside your infrastructure.
Four products. All demo-ready.
Built for industries where compliance is non-negotiable.
Every product ships with private Azure deployment, zero data leaving your tenant, and audit-grade evidence trails — because our customers operate in pharma, fintech, and banking where that is the baseline.
Engineering depth across the modern stack.
Agentic AI Systems
Multi-agent LLM workflows built and running in production
Azure & Databricks
Certified partner — architecture, migration, and delivery
Full-Stack Engineering
End-to-end product engineering for regulated software
Cybersecurity & GRC
Compliance built into architecture from day one
Advanced Analytics
Semantic models and executive BI on enterprise data
Regulated Industry Architecture
Built specifically for life sciences, fintech, and banking
We don't just build products.
We solve the problems behind them.
For organisations that need custom AI engineering, data platform architecture, or compliance readiness in regulated environments — our consulting practice brings the same engineering rigour as our products.
Explore ServicesAI Product Engineering
Custom agentic workflows and AI-powered applications — from architecture through to production deployment on Azure.
Data Platform & Engineering
Azure and Databricks implementation, migration, and optimisation. Certified partner delivery at enterprise scale.
Compliance & GRC Advisory
Regulation-specific architecture review and gap assessment for pharma, fintech, and banking — aligned to RBI, ISO 27001, 21 CFR Part 11.
Technology & Solution Partners
Ready to see it running in your environment?
Every product is demo-ready today. No decks, no pilots that go nowhere — book a technical call and we'll show you the live platform against your use case.