Eight missions, one governed substrate.
Each solution is the same platform — Council, governed agents, audit-defensible records — configured to a different mission. We bring the platform; you bring your data; we deliver the outcome. The system recommends and evidences; your people decide and attest. Each is a configuration of the same substrate, scoped and matured with you per engagement.
RMF / ATO pre-adjudication
Accreditation documentation produced under time pressure is often thin on evidence — and the gaps surface late, during formal assessment, consuming scarce assessor capacity and delaying authorization.
- •Retrieves the governing control and assessment objectives for each statement
- •Tests evidence-sufficiency, not just whether a narrative exists
- •Emits a confidence-scored, source-traceable, human-attested pre-adjudication record before formal review
Configured with: Review perspectives from the library, configured to your control catalog and attestation role
Audit-defensible enforcement & referral packages
Enforcement actions taken on the strength of an opaque risk score struggle to survive administrative protest or judicial challenge.
- •Enriches each case with approved, public-source evidence
- •Runs a multi-perspective deliberation with a documented adversarial counter-case
- •Outputs a referral package with claim-level citations and preserved dissent
Configured with: Review perspectives from the library, configured to your case corpora and referral workflow
Governed AI research assistant
A trustworthy first AI project: staff and the public need answers they can rely on, with no tolerance for hallucination.
- •Answers grounded only in your documents — every answer cited
- •Says "I don't have a confident answer — here's who to contact" rather than guess
- •Role-aware private and public assistants, with an append-only audit log
Configured with: Grounded-retrieval perspectives · your document corpus · public & staff role profiles
Contract & policy intelligence
Inconsistent manual interpretation of policy across thousands of interactions creates audit and protest exposure.
- •Extracts contract metadata and reviews against approved templates with deviation flagging
- •Policy-grounded guidance with citations and a complete decision trail
- •Augments existing systems — the system supports the decision, it does not make it
Configured with: Policy-compliance & deviation perspectives · approved-template corpus · reviewer approval workflow
Runtime-assured autonomy
Nondeterministic autonomy outputs are hard to certify and field, because there is no evidence layer a reviewer can authorize against.
- •Evaluates each autonomy output across named safety criteria, preserving dissent
- •Emits an audit-defensible decision trace with one-operation rollback
- •The certification-evidence layer under your autonomy stack — not a competitor to it
Configured with: Review perspectives from the library, configured to your safety criteria and reviewer role
Tactical decision support
Operators need evidence-grounded, attributable recommendations under compressed timelines — that the chain of command can trust and authorize.
- •Domain fine-tuning plus retrieval with claim-level citation
- •Multi-perspective review producing an audit-defensible decision record
- •The trust layer that lets the chain of command authorize agent outputs
Configured with: Review perspectives from the library, configured to your doctrine, data, and authorizing role
Traceable legacy modernization
Engineer time is the constraint, backward compatibility is mandatory, and every AI-proposed code change has to be reviewable.
- •AI proposes transformations; it never auto-applies them
- •Named validation gates — equivalence, performance, security, compatibility, maintainability
- •Audit-ready evolution history with one-operation rollback
Configured with: Equivalence, performance & maintainability gates · your codebase · engineer authorization
On-prem / air-gapped AI analytics
Cloud AI tools forced on-premises tend to fail — models too large, integration brittle, lock-in looming.
- •A containerized pipeline that runs entirely on your hardware
- •A two-model architecture: a capable LLM plus lightweight local classifiers your staff can retrain
- •Integrates with your existing data and BI; your team is self-sufficient at handover
Configured with: Classification & narrative perspectives · your data corpus · staff-operated review
Don't see your mission?
The substrate is the same. If your mission needs governed, audit-defensible AI deployed inside your boundary, we can configure it to your domain.