Data products for the agentic era
Forge data products as containers of context.
AI decides at machine speed. It needs context. FLUID Forge compiles your data products — open source, governed, agent-native.
Field guides
Four briefings on agentic-ready data.
Short, plain-spoken papers on data products and the FLUID standard — written for the boardroom and the engineering team alike.
The shape of the problem
Four beats. One conclusion.
FAST.
Decisions in the AI Era happen at machine speed.
CONTEXT.
AI can keep up — if it has context.
PRODUCTS.
Context lives in data products. Self-contained. Governed.
FORGE.
FLUID Forge — the open-source compiler.
The signature tool
Map your Periodic Table.
Every industry has a finite set of data products it needs. We've mapped them. Five minutes. No login.
Proof
Runs everywhere. For every industry.
One FLUID contract compiles native to every major cloud — and the data-product pattern maps cleanly onto every sector.
How we work
Four phases. One working day to first prototype.
- 01
Before
Walk in with your sector's map.
- 02
Workshop
First prototype in a day.
- 03
Build
Parallel. No big-bang risk.
- 04
Turnkey
Teams own the methodology.
Who's behind this
We built the standard.
Founded on one observation: agentic AI would stall — not because the AI wasn't ready, but because the data wasn't.
Founder · Standard architect
Jeff Watson
Practitioner of enterprise data architecture across telco and public sector. Author of FLUID Enterprises. Currently building the standard the agentic era runs on.
- Open standard. No transformation that depends on lock-in.
- Methodology + tech. Architecture without ownership fails.
- Speed without shortcuts. Parallel makes months out of years.
- Diagnostic first. 30 minutes. If we can't help, we say so.
Now is the moment
The window is open. Not for long.
AI capability is commoditising. Data architecture is the moat.