Sunthetics

Sunthetics is an AI/ML platform for optimizing chemical experiments and R&D processes. Its cloud-based, no-code product SuntheticsML applies Bayesian optimization and design-of-experiments (DOE) techniques to small datasets, helping scientists identify the variables that matter most and recommend the highest-impact next experiments. The company reports up to 99% prediction accuracy, up to a 97% reduction in the number of experiments versus traditional methods, and materially faster optimization campaigns across reaction-agnostic chemistry and materials workflows. Sunthetics is a Techstars portfolio company and was added to the API Evangelist network as a company profile. As of this enrichment pass the company publishes no public API, developer portal, or OpenAPI specification; its product is delivered as a web application at sunthetics-app.com.

Sunthetics is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Chemistry, and Research and Development.

Sunthetics’ developer surface includes engineering blog, support, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub

16.5/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-21 · rubric v0.12.0

0 APIs

Company Artificial Intelligence Machine-Learning Chemistry Research and DevelopmentDesign of ExperimentsBayesian OptimizationMaterials Science Software-as-a-Service

Kin Score

Kin Score How this is scored →
scored 2026-08-21 · rubric v0.12.0

Composite quality — 16.5/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.4 / 20

Access Clarity 8.7 / 20

Operational Transparency 1.4 / 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

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/sunthetics: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

Login

Access & Security 6

Authentication, authorization, and security posture

TrustCenter

Compliance

Security

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

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 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: sunthetics
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/sunthetics.png
name: Sunthetics
description: Sunthetics is an AI/ML platform for optimizing chemical experiments and R&D processes. Its cloud-based, no-code
  product SuntheticsML applies Bayesian optimization and design-of-experiments (DOE) techniques to small datasets, helping
  scientists identify the variables that matter most and recommend the highest-impact next experiments. The company reports
  up to 99% prediction accuracy, up to a 97% reduction in the number of experiments versus traditional methods, and materially
  faster optimization campaigns across reaction-agnostic chemistry and materials workflows. Sunthetics is a Techstars portfolio
  company and was added to the API Evangelist network as a company profile. As of this enrichment pass the company publishes
  no public API, developer portal, or OpenAPI specification; its product is delivered as a web application at sunthetics-app.com.
url: https://raw.githubusercontent.com/api-evangelist/sunthetics/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Chemistry
- Research and Development
- Design of Experiments
- Bayesian Optimization
- Materials Science
- Software-as-a-Service
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Chemistry
- Research and Development
- Design of Experiments
- Bayesian Optimization
- Materials Science
- SaaS
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.sunthetics.io/
- type: Blog
  url: https://www.sunthetics.io/innovation-and-insights
- type: Support
  url: https://www.sunthetics.io/contact-us
- type: Login
  url: https://www.sunthetics-app.com/
- type: TermsOfService
  url: https://www.sunthetics.io/terms-of-service
- type: PrivacyPolicy
  url: https://www.sunthetics.io/privacy-policy
- type: TrustCenter
  url: https://www.sunthetics.io/trust-center
- type: Compliance
  url: https://www.sunthetics.io/trust-center
- type: Security
  url: https://www.sunthetics.io/trust-center
- type: TrustCenter
  name: Trust Center (artifact)
  url: security/sunthetics-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/sunthetics-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/sunthetics-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 3
  pass: local-v1

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