# Hardware Intelligence

**Canonical:** https://apis.io/providers/hardware-intelligence/  
**Website:** https://hardwareintelligence.ai/  
**APIs profiled:** 0

Hardware Intelligence is a Y Combinator (Summer 2026) startup based in San Francisco building an end-to-end, agent-native toolchain for chip design. Founded in 2026 by Athreya Anand, the company applies agentic AI and ultrafast feedback loops to the semiconductor design and verification workflow. Its first product, Wave, is a terminal-native waveform debugger with a verification agent built in, aimed at accelerating hardware debugging and design iteration. At the time of profiling the company is pre-launch with early-access pilots and a waitlist; it publishes no public API, developer documentation, SDKs, or OpenAPI, so this API Evangelist profile captures company identity only and awaits a developer surface to enrich.

## 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

Requires approval — onboarding: approval, pricing: unknown, trial: no (confidence: medium).

## Security (1)

- **Hardware Intelligence Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Hardware, Semiconductors, Chip Design, Artificial Intelligence, Developer Tools, EDA, Agentic

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