Hardware Intelligence

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.

Hardware Intelligence is profiled on the APIs.io network. Tagged areas include Company, Hardware, Semiconductors, Chip Design, and Artificial Intelligence.

🌐 Visit website 📡 Source on GitHub

5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessApproval

0 APIs

Company Hardware Semiconductors Chip Design Artificial Intelligence Developer Tools EDA Agentic

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 5.0/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Access Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/hardware-intelligence: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Hardware Intelligence Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 3

The organization behind the API

Website

Website

Twitter

Twitter

LinkedIn

Other 2

Properties that don't map to a standard resource type

Product

Product

YCombinator

YCombinator

Source (apis.yml)

aid: hardware-intelligence
name: Hardware Intelligence
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/hardware-intelligence/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: medium
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://hardwareintelligence.ai/og-image.png
tags:
- Company
- Hardware
- Semiconductors
- Chip Design
- Artificial Intelligence
- Developer Tools
- EDA
- Agentic
tags_raw:
- Company
- Hardware
- Semiconductors
- Chip Design
- AI
- Developer Tools
- EDA
- Agentic
apis: []
common:
- type: DomainSecurity
  url: security/hardware-intelligence-domain-security.yml
- type: Website
  url: https://hardwareintelligence.ai/
- type: Product
  name: Wave
  url: https://hardwareintelligence.ai/wave/
- type: YCombinator
  url: https://www.ycombinator.com/companies/hardware-intelligence
- type: Twitter
  url: https://x.com/hwintelligence
- type: LinkedIn
  url: https://www.linkedin.com/company/hardwareintelligence/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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