Build and operate
Forge
Quick, safe solution deployment — an AI-powered generator that adapts Poiesis to each client’s requirements and moves custom analytics into production.
Position
Forge lets engineers tailor and implement solutions without rebuilding Poiesis from scratch for every engagement — speed without improvising in production.
Client requirements in. Production-shaped analytics out. Industry customisation, prompt tests, edge cases and connectors are part of the generation path — not bolt-ons after the fact.
How it moves
From brief to production shape
Generate against the requirement. Prove the prompts. Connect to the estate. Deploy with the edge cases already handled.
Capabilities
What Forge generates and proves
Five surfaces that turn a client brief into a deployable adaptation of Poiesis.
- 01
Analytical model generation
Models shaped from the client brief — requirements drive the analytical form, not a catalogue of stock templates.
- 02
Industry-specific customisation
Sector vocabulary, constraints and decision patterns baked in so Poiesis speaks the organisation’s language from day one.
- 03
Prompt testing
Generated prompts and agent behaviours proven before production — failures stay in the forge, not in live operations.
- 04
Client edge cases
The exceptions generic solutions miss: unusual sources, contested definitions, workflow quirks that decide whether a deployment holds.
- 05
Infrastructure connectors
Connectors generated to the client estate — warehouses, APIs and tools already in use — so integration is part of the build, not a later project.
In the system
Poiesis adapted. Deployment prepared.
Forge adapts Poiesis to each client estate and hands production-ready solutions into deployment.
Next step
Bring the requirement Forge should generate against
Show us the client brief, the estate constraints and the edge cases that usually slow deployment. We will map what Forge would produce — and how fast it can reach production.