Design partner opportunity
ERAIS Gateway
Test one approved local-model workload behind a controlled endpoint with explicit identity, capacity, audit, restore, and rollback behavior.
Your starting point
A problem worth resolving.
This is a fit when
- A technically capable partner with one local-model endpoint decision
- A controlled environment where operational and failure drills are permitted
When another approach is a better fit
- A public production endpoint or 24/7 SLA
- A requirement for broad API compatibility or unrestricted model support
The useful output
What you take away.
- 01Supported configuration and deployment/configuration record
- 02Access, request, data, audit, and failure boundary model
- 03Accepted endpoint contract and operator runbook
- 04Monitoring, capacity, drain, restart, restore, canary, and rollback evidence
- 05Limitations register and witnessed design-partner decision
Where this stands
Built so far. What comes next.
No delivery contract until an exact candidate passes security, authentication/denied paths, load/admission, 24-hour soak, graceful restart, restore, rollback, artifact trust, and independent-operator checks.
Existing basis
- A developed local inference endpoint and lifecycle control surface
- Bounded request, identity, limits, deadlines, observability, artifact, and failure controls
- Operational tooling for preflight, drain, restart, restore, and rollback testing
Evidence still needed
- Exact-candidate external security and denied-path closure
- Representative load, admission, and at least 24-hour soak evidence
- Partner-environment restart, restore, rollback, and independent-operator completion
Working together / 6–10 weeks after gate
From your question to a decision.
- 01Discovery only until the gate receipt is signed.
- 02Freeze one workload, contract, environment, and acceptance matrix.
- 03Configure and test the bounded endpoint and operational controls.
- 04Run witnessed capacity, failure, restore, and independent-operator checks.
- 05Promote, remediate, or stop; no automatic production handover.
What we need to begin
- One approved local-model workload and customer-controlled environment
- Named infrastructure, security, workload, and decision owners
- Supported hardware/runtime and lawful model/data use
- Permission to run failure, load, restore, and rollback drills
- Acceptance of a pre-production, one-configuration support boundary
Scope and handover
A decision you can act on.
Customer work is controlled by a signed statement of work. Public pages provide information and do not create a service commitment.
Acceptance conditions
- One supported configuration passes the signed endpoint, identity, boundary, quota, deadline, and failure tests.
- Capacity, monitoring, graceful operation, restore, and rollback are witnessed in the partner environment.
- A named independent operator follows the runbook without founder-only knowledge.
- Limitations and support boundaries are accepted before any operational handover.
Scope and limits
One approved workload and supported configuration. No OpenAI-wide compatibility, general availability, production SLA, or customer-operability claim before the gate passes.
Implementation breadth is not production reliability, full API compatibility, external operability, or a support commitment.
Offer source and review record
Next step
Explore a partnership around your workflow.
Tell us what is getting in the way, the outcome you want and your timeframe. A short description is enough to begin; leave sensitive material out of the first message.