Discovered Materials

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.

Discovered Materials is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Materials Science, Semiconductors, and Deep Tech.

🌐 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

0 APIs

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

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.

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Security Posture 1

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

Discovered Materials Domain Security

TLSv1.3

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Email

Source (apis.yml)

aid: discovered-materials
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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/discovered-materials.png
name: Discovered Materials
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/discovered-materials/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
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Artificial Intelligence
- Materials Science
- Semiconductors
- Deep Tech
- Y Combinator
- AI Agents
- Research
apis: []
common:
- type: DomainSecurity
  url: security/discovered-materials-domain-security.yml
- type: Website
  url: https://discoveredmaterials.com
- type: Email
  url: mailto:founders@discoveredmaterials.com
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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