Days 1–7: fit + boundary
Define the outcome, authorized data, users, authority, exclusions, review standard, deployment conditions, risk, and success measures.
Private AI deployment pilot
Forty-five days to decide whether a governed local system earns its place.
A paid, founder-led engagement for one valuable research, edge, legal, government, health-knowledge, or enterprise workflow with a real reason its data and inference should remain controlled.
Pilot conversations open$7,500Starting engagement
+ hardwareSelected for workload
45 daysDefined evaluation
OnePrimary workflow
The point
The pilot exists to produce a decision. It ends on day 45 either way.
We scope one workflow, build a bounded local evaluation, apply the necessary governance, test with real users and known questions, document limitations, and hand you the evidence for a go, revise, or stop decision.
Days 8–21: private build
Configure Grace, the R.A.I.S.E. environment, local models, retrieval, tools, policy gates, hardware, and a reviewable workflow.
Days 22–38: calibration
Run representative and known-answer tests, examine retrieval and agent failures, verify records and approvals, and collect user feedback.
Days 39–45: evidence + handoff
Deliver findings, limitations, workflow and operating documentation, an infrastructure profile, and a scale recommendation. Continuation stays your call.
Work with us
The right first call is a system fit check.
Bring the workflow, the data boundary, the people who own it, the consequence of a wrong action, and the reason local operation matters.
Direct answers
Questions worth asking.
What is included in the starting price?+
The $7,500 starting engagement covers a defined 45-day pilot scope. Hardware and any unusual third-party licensing are selected and priced separately based on the workload and operating boundary.
Why does the pilot start at $7,500?+
This is a founder-led implementation, not a software subscription. A typical starting scope represents roughly 80–120 hours across discovery, architecture, Grace and R.A.I.S.E. configuration, workflow engineering, governance, testing, documentation, and handoff. The written proposal controls the price and outcomes. The engagement never becomes open-ended hourly consulting.
Does a pilot guarantee production deployment?+
No. Its purpose is to generate enough technical, governance, user, and operating evidence to decide whether scaling is justified.
What happens after day 45?+
You receive the findings, limitations, documentation, and a scale, revise, or stop recommendation. A production deployment is a separate written quote based on the required environments, offices, or nodes. We scope ongoing support after the operating model is known.
Who is a good pilot partner?+
An organization with one bounded, valuable workflow, an engaged owner, a clear data boundary, measurable pain, and a real need for local, governed, or disconnected AI.