The Glass Factory. Every step, visible.
Glass-walled delivery — inspect any step, any time. Run on SAIF, our AI-native factory. Align, Design, Equip, Deliver: test-first, with evals at every gate.
Not a black box. Not a vendor cloud.
Enterprise AI has a trust problem — models you can't inspect, agents you can't audit, capabilities you can't take with you when the contract ends. The Glass Factory is our answer. Every step is logged, every decision is traceable, every artefact is yours from the first commit.
Align. Design. Equip. Deliver.
Four phases. Five gates. Every one of them inspectable. Source lands in your repo on day one of Build.
Diagnose the workflow, price the value, agree what "done" means.
We map where AI moves the P&L, model the cost of doing nothing, and interrogate the brief until the ambiguity is gone. Scope and budget are fixed before a line of code is written.
- Value model
- Fixed scope + budget
- Agreed outcome and guardrails
Decide the architecture in the open, before anyone builds.
One shared vocabulary, five architecture layers written to one shape: data, application, integration, technology, security, and a contract for every boundary. Nothing is assumed and nothing is left for the build to discover.
- Shared glossary
- Five architecture layers
- Interface contracts
Build the factory that builds the product.
Tests, evals, agent instructions and gates, stood up before the first feature ships. This is the phase that makes the handover real: what we set up here is what your team runs after we leave.
- Eval harness
- Agent instructions
- Gates and runbook
Ship in rounds, against the outcome, until it is met.
Test-first delivery, every round gated. Source lands in your repository on day one, not on cutover day, not on invoice-received day. Cutover is glass-walled, with no big-bang risk, and your team runs it afterwards.
- Source day-one
- Gated rounds
- Handover certification
What glass-walled actually means.
Inspect any step, anytime.
Every prompt, every model call, every eval, every commit. Nothing behind a black-box vendor cloud.
Evals gate the ship.
Behaviour is specified before code. If the evals don't pass, the build doesn't ship — no exceptions.
Source in your repo, day one.
Not on cutover day. Not on final invoice. Day one of Build — commits land in your GitHub org.
Your team runs it when we leave.
Runbooks, observability, training. No vendor dependency after handover. Managed AI Services optional, not compulsory.
Two commitments, and no asterisk.
On the Glass Factory.
Traditional SIs own the source, meter deliverables against a change-request queue, and keep you dependent. Glass Factory inverts all three: source in your repo on day one, fixed scope agreed at Align, no CR queue between you and progress.
Every capability we ship carries a versioned eval harness — regression suite of prompt / expected-output pairs run automatically on every commit. A round is not done until every eval layer passes for every promise made to a user. Not most layers, not most promises. That harness is yours to run after we leave.
You can see it before the first sprint ends. Repository access is provisioned in Align; commits land daily. There is no 'demo day' — the delivery is live, inspectable, from week one.
Managed AI Services covers that — SLA-bound, monthly outcomes, governed agentic delivery pod. It is optional. The default is: we leave, your team runs it.
Step inside the factory.
30 minutes. See exactly how the promise translates to your workflow.