# Pramaana Labs

**Canonical:** https://apis.io/providers/pramaana-labs/  
**Website:** https://pramaanalabs.ai/  
**APIs profiled:** 0

Pramaana Labs is a frontier AI research lab building the verification layer for high-stakes, mission-critical AI. The company turns complex human knowledge - tax codes, clinical guidelines, legal rules, and safety constraints - into machine-checkable logic, so that every AI answer can be traced, challenged, and proved rather than merely sounding plausible. Its stack compiles domain rules into formal systems that return proofs, counterexamples, and traceable explanations. Pramaana Labs raised $27M to build a compiler for mission-critical AI and is backed by Accel. At this time the company operates as a research lab with published work (RuleArena, arXiv) and no public developer API surface.

## Kin Score — 7.6 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Pramaana Labs Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Verification, Formal Methods, Machine-Learning, Research, Compiler, LLM, Reasoning

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/pramaana-labs/). Scores are computed from the provider's own public artifacts under a published rubric.