Polaron

Polaron is a London-based AI software company that builds "the intelligence layer for materials science." Its platform applies machine learning to microscopy and image data to automate microstructure analysis, connecting process, structure, and performance so materials engineering teams can characterise, design, and manufacture materials faster and with less uncertainty. The platform centers on three core model families: Segmentation (identifying and measuring microstructural features), Reconstruction (converting 2D micrographs into 3D representations), and Design (optimising microstructural parameters). It is applied across batteries, metals and alloys, composites, ceramics, additive manufacturing, and pharmaceuticals, spanning R&D, quality and qualification, and modelling and simulation workflows. Polaron is backed by Speedinvest and research institutions including Imperial College London, Manchester, Oxford, and Cambridge.

Polaron is profiled on the APIs.io network. Tagged areas include Company, Materials Science, Artificial Intelligence, Machine Learning, and Microscopy.

Polaron’s developer surface includes engineering blog, support, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub
13.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyMaterials ScienceArtificial IntelligenceMachine LearningMicroscopyMicrostructureBatteriesAdditive ManufacturingDeep TechSimulation

Kin Score

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scored 2026-07-27 · rubric v0.5
Composite quality — 13.0/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/polaron: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Polaron Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support
Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 3

The organization behind the API

Website
Website
 About
About
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

Platform
Platform

Source (apis.yml)

apis.yml Raw ↑ 
aid: polaron
name: Polaron
description: 'Polaron is a London-based AI software company that builds "the intelligence layer for materials science." Its
  platform applies machine learning to microscopy and image data to automate microstructure analysis, connecting process,
  structure, and performance so materials engineering teams can characterise, design, and manufacture materials faster and
  with less uncertainty. The platform centers on three core model families: Segmentation (identifying and measuring microstructural
  features), Reconstruction (converting 2D micrographs into 3D representations), and Design (optimising microstructural parameters).
  It is applied across batteries, metals and alloys, composites, ceramics, additive manufacturing, and pharmaceuticals, spanning
  R&D, quality and qualification, and modelling and simulation workflows. Polaron is backed by Speedinvest and research institutions
  including Imperial College London, Manchester, Oxford, and Cambridge.'
url: https://raw.githubusercontent.com/api-evangelist/polaron/refs/heads/main/apis.yml
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://cdn.prod.website-files.com/66dacfc633b8a155263481fd/69813922f2dab1f63b99d94c_Frame%201707484013.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- speedinvest
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Materials Science
- Artificial Intelligence
- Machine Learning
- Microscopy
- Microstructure
- Batteries
- Additive Manufacturing
- Deep Tech
- Simulation
apis: []
common:
- type: Website
  url: https://polaron.ai
- type: Platform
  url: https://polaron.ai/platform
- type: About
  url: https://polaron.ai/about-us
- type: Blog
  url: https://polaron.ai/newsroom
- type: GitHubOrganization
  url: https://github.com/Polaron-AI
- type: TermsOfService
  url: https://polaron.ai/terms-of-use
- type: PrivacyPolicy
  url: https://polaron.ai/privacy-policy
- type: Support
  url: mailto:info@polaron.ai
- type: DomainSecurity
  url: security/polaron-domain-security.yml
- type: LLMsTxt
  url: llms/polaron-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1