Everything on this floor stands on context.
Every demo at Finovate shows what AI will do for your institution. Each one needs something to stand on. DataOS is that layer: meaning, state, history and policy travelling with the data, so your AI workflows hold up in front of an examiner.
YOUR COUPON
You're holding a coupon. It means your first data product is on us.
100K DataOS credits, redeemed when you bring us the question you can't answer today.
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Since 2021
Context packaged as governed data products
Gartner
Hype Cycle for Data and Analytics in Banking, 2025
Forrester
Featured as a “Governance-first” Data Governance Platform, 2025
Where to go from here
One is on us. Two are free.
BUILD
Your first data product, on us.
Context isn't a layer we bolt on. It's a property of the data product: semantics, governance, quality, provenance, taxonomy, freshness. The maturity wave the branch can't work by hand. The launch you can't size by branch. The decision an examiner will ask about in March. Each is a data product where the definition, the policy version and the lineage travel with every number, so a queue becomes a defensible decision.
Bring the question you can't answer today and the tables behind it. Exports are fine. We build it with you, above what you already run. Your coupon covers it.
Bring the question you can't answer today and the tables behind it. Exports are fine. We build it with you, above what you already run. Your coupon covers it.
CALCULATE
AI Expense Calculator
What your AI spend owes to your data.
Six questions: your core or warehouse, your model, how many queries a month, whether the answers are cached. Back comes what you pay per AI query today, and what it drops to once your data no longer has to be rediscovered every time an agent asks. No form. Two minutes.
READ
The model was never the hard part.
A fair-lending reviewer asks why the model declined an applicant in March. You have the decision log, the credit file, the pricing table. Answering still takes days, because nobody can say which rate sheet was live on the booking date or which policy version the model saw. The data existed. The meaning didn't travel with it. Now put an agent in that seat.
RAG can deliver context. It does not produce it.
The Context Layer for Defensible AI in Financial Services. Darpan Shah and Srinivasa Mathkur, September 2026.
RAG can deliver context. It does not produce it.
The Context Layer for Defensible AI in Financial Services. Darpan Shah and Srinivasa Mathkur, September 2026.
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