FidelityGuard
Claim-level certification for LLM output. FidelityGuard turns model output into a source-bound packet for regulated and high-stakes workflows.
- Evidence-bound claims
- Unsupported assertions marked
- Audit packet returned with output
Products
The Consequential AI suite.
Three product surfaces around one deployment thesis: high-stakes model output should be source-bound, replayable, certified, and ready for serious review.
Crucible
Flight recording, replay, regression, policy gates, and deployment control for consequential agent workflows.
- Policy-bounded runs
- Replayable execution traces
- Controls for review and escalation
MoatGraph
Evidence-bound private-market intelligence for company defensibility, market mapping, and investment committee work.
- Source-aware company views
- Evidence-linked memos
- Reusable review packets
Advisory and Certification
Strategic deployment work around verifiable AI.
SLPR Labs works with serious teams on deployment-readiness, evidence standards, audit-packet design, model-risk workflows, and certification paths for consequential AI systems.
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