# Ricursive Intelligence

**Canonical:** https://apis.io/providers/ricursive-intelligence/  
**Website:** https://ricursive.com/  
**APIs profiled:** 0

Ricursive Intelligence is a frontier AI laboratory building self-improving systems to reinvent chip design, closing the loop between artificial intelligence and the hardware that powers it. Founded by researchers behind work such as AlphaChip (Nature 2021), RL-CCD (DAC Best Paper 2023), Insta (DAC Best Paper 2025), and C3PO (ASP-DAC Best Paper 2026), and contributors to major AI models and accelerators (Gemini, Claude, Grok, TPUs), the company raised $335M from Sequoia, Lightspeed, DST Global, and NVentures. As of this profile the company operates as a research lab with a public marketing site and careers page but no publicly documented developer API, SDKs, or developer portal.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| 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)

- **Ricursive Intelligence Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Artificial Intelligence, Machine-Learning, Chip Design, Semiconductors, Hardware, Research Lab, Self-Improving Systems

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