Open AI for your organization.
Build the evidence for a useful model today. Define the controls your production environment will need.
Decide with evidence.
Bring engineering, cost and risk considerations into one portable record. Pin candidates, enter workload criteria and document open questions.
Collaborate with control.
The intended next step is a durable organization workspace with permissions, review history and repeatable decisions across teams.
Identity, shared storage and policy enforcement are not provisioned in the public release.
Run where it fits.
The roadmap connects approved models to customer infrastructure and managed execution, with explicit budgets, provenance and operational ownership.
Native weight hosting, private repositories and managed GPU endpoints are not currently offered.
A deliberate path to production.
Each stage depends on working services and verified controls. This is the implementation roadmap, with gates instead of promised availability dates.
Discover and document
Set the use case, pin model revisions, compare evidence and prepare a portable decision pack.
Available now: local planning and validation of user-supplied evidence. The accountable owner still reviews the decision.Collaborate in a workspace
Add durable organization accounts, shared evidence, scoped permissions and authenticated review.
Release gate: tenant-isolation tests, account recovery, audit events and a successful backup restore. Not provisioned.Evaluate in approved infrastructure
Run versioned harnesses with data boundaries, isolated workers, job cancellation and measured spending.
Release gate: reproducible manifests, budget enforcement, containment checks and usage reconciliation. Not provisioned.Publish and host artifacts
Introduce verified namespaces, revisioned uploads, scanning, signed downloads and private repositories.
Release gate: rights review, upload integrity, access revocation, restore tests and a defined deletion lifecycle. Not provisioned.Deploy and operate
Connect approved runtimes, observe a canary, track service health and roll back to a known revision.
Release gate: provider reconciliation, capacity tests, rollback exercises and an owned incident process. Not provisioned.Scale enterprise controls
Offer SSO/SCIM, policy enforcement, audit export and scoped contractual support as the platform matures.
Release gate: verified controls, procurement evidence and measured operational performance before commitments. Not provisioned.What does your team need?
- The task, users and consequences of failure
- Data classification and processing-region requirements
- Candidate models and exact revisions
- Quality, latency and cost thresholds
- Review ownership, evidence and unresolved risks
This creates a browser-local draft. It does not transmit requirements to a sales team or create an enterprise account.
Measure the outcome.
Track time to an informed decision, completeness of provenance, workload-specific performance and expected operating cost. Revisit the evidence when models, data or intended use change.
Explore NIST guidance for AI risk management ↗