# Discovered Materials

**Canonical:** https://apis.io/providers/discovered-materials/  
**Website:** https://discoveredmaterials.com  
**APIs profiled:** 0

Discovered Materials (legally matforge inc) is a Y Combinator-backed (Spring 2026) startup based in San Francisco building AI scientists for the semiconductor industry. The company uses swarms of AI agents to run the full materials-discovery pipeline - generating candidate materials, synthesizing them, and testing them in physical laboratories - to find novel materials for datacenters and fabrication facilities. Their stated goal is to compress a process that traditionally takes 10+ years of lab work into months, targeting 10x-better alternatives for applications such as nanoscale interconnects. Founded by Akash Ramdas (Stanford materials-science PhD/postdoc) and Advaith Sridhar (Carnegie Mellon AI, formerly Luma Labs and Persona AI). At the time of profiling the company exposes no public API, developer portal, or documentation; this entry is an enrichment lead maintained in the API Evangelist network.

## 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)

- **Discovered Materials Domain Security** — TLSv1.3

## Tags

Company, Artificial Intelligence, Materials Science, Semiconductors, Deep Tech, Y Combinator, AI Agents, Research

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