# Experiential Labs

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

Experiential Labs is an applied AI research laboratory (Y Combinator Summer 2026, San Francisco) building world models that let AI agents simulate reality with high fidelity. Founded by Kion Fallah (former staff research scientist at Waabi) and Silen Naihin (AutoGPT and agent-benchmark contributor, co-founder of Stackwise), the company adapts techniques from autonomous-vehicle development to reconstruct environments at high accuracy and pursue recursive self-improvement and continual learning across domains. Its public work is open source on GitHub, including the world-model-harness (world-model-as-a-harness for simulating AI agent environments), OpenCLaaS (Continual Learning as a Service), and autoresearch-distillation. The company does not yet publish a public API, developer portal, or SDKs.

## Kin Score — 5.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## 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)

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

## Tags

Company, Artificial Intelligence, Machine-Learning, World Models, AI Agents, Simulation, Continual Learning, Infrastructure, Research

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