# Advanced Metal Research

**Canonical:** https://apis.io/providers/advanced-metal-research/  
**Website:** https://advancedmetalresearch.com/  
**APIs profiled:** 0

Advanced Metal Research is a Y Combinator (Spring 2026) company based in Los Angeles building machine intelligence for American welding. The company develops American-made robotic welding cells that pair computer vision with real-time seam tracking and post-weld inspection, turning welding from a scarce manual craft into a closed-loop manufacturing system that learns from every weld as it happens. Founded in 2025 by Julian Fried, Stephen Lin, and Angus Muffatti, it targets the projected shortage of skilled welding professionals across US industrial manufacturing. The company is early-stage and hardware-focused; it does not currently publish a public developer API, SDKs, or API documentation.

## 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)

- **Advanced Metal Research Domain Security** — TLSv1.3

## Tags

Company, Robotics, Welding, Manufacturing, Computer-Vision, Industrial Automation, Hardware, Machine Intelligence, Y Combinator

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