Enterprise
AI applications inside your boundaries.
Run A-Team in your environment, connect approved models and systems, define operational permissions, and retain a traceable lifecycle from deployment to rollback.
Self-hosted deployment
Deploy into the environment you control.
A supported one-click path brings the platform into your infrastructure. Specific cloud templates and air-gapped support are being verified before public claim.
Managed A-Team Cloud
Private cloud
On-premises
Controlled network
VerifyingBring your own models
Connect approved models, assign them by skill.
OpenAI, Anthropic, Ollama, SGLang, and compatible endpoints—with skill-level model assignment and private inference where supported.
Governance
Explicit control, end to end.
- Actor identity & isolation
- Explicit connector/tool permissions
- Grants & handoff contracts
- Policy guardrails
- Approval workflows
- Auditability & traceability
Operations
Run it like production.
- Health checks
- Test pipeline
- Execution logs
- Timing & metrics
- Definition/deployment diff
- Git-backed versions
- Promotion & rollback
Procurement
What your review team will ask for.
Materials are being prepared; items marked verifying are not yet published claims.
Security architecture
Deployment guide
Data flow diagram
Subprocessors
Privacy policy
Availability / SLAVerifying