# Assemble Labs

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

Assemble Labs is an AI-powered hardware testing platform that autonomously designs and runs experiments on embedded systems, letting engineers validate firmware against specifications using real lab instruments without manual setup. It converts engineering requirements into executable test cases, drives physical devices through real instrument control (oscilloscopes, power profilers, logic analyzers from Saleae, Tektronix, Keysight, Rohde & Schwarz, Fluke, Yokogawa, National Instruments and Joulescope), performs root-cause analysis, proposes firmware fixes, and verifies them on actual hardware. Test results and reports are committed to Git for traceability. The product runs on-premises and air-gapped with zero data egress, and integrates with VS Code, Cursor, and Claude. Assemble Labs is an early-stage company (pre-seed, $1.3M led by Menlo Ventures) and is tracked in the API Evangelist network as a portfolio lead; it does not yet publish a public API, developer portal, or SDKs.

## Kin Score — 8.3 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 8.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 13.2 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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)

- **Assemble Labs Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Hardware Testing, Embedded Systems, Firmware, Test Automation, Lab Automation, Artificial Intelligence

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