# Guide Labs

**Canonical:** https://apis.io/providers/guide-labs/  
**Website:** https://www.guidelabs.ai/  
**APIs profiled:** 0

Guide Labs is a product-focused AI research company building a new class of inherently interpretable AI systems and foundation models that humans and domain experts can reliably understand, steer, and debug. Its flagship platform, Clarity, is presented as the first inherently interpretable AI platform and surfaces the internal concepts driving a model's decisions, while its Steerling-8B is presented as the first inherently interpretable large language model. The team has published more than two dozen interpretability papers at top machine-learning venues and ships research artifacts such as PRISM training-data prototypes, the FineWeb Concept Atlas, and Atlas for orienting LLM pre-training data. Access to Clarity is available through platform.guidelabs.ai. The company is backed by Initialized Capital.

## Kin Score — 10.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.0).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 17.1 |
| Access Clarity | 17.1 |

## 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)

- **Guide Labs Domain Security** — TLSv1.3 · DNSSEC · DMARC

## Tags

Company, Enterprise Saas, Artificial Intelligence, Interpretability, Machine-Learning, Foundation Models, Large Language Models, AI Safety, Research

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