LabGenius Therapeutics

LabGenius Therapeutics is a London-based drug discovery company that combines machine learning, high-throughput robotic experimentation and synthetic biology to discover and co-optimise next-generation therapeutic antibodies for solid tumours. Its EVA (Experimental Vector Automation) platform is a closed-loop, modality-agnostic discovery engine that runs a design-build-test-learn cycle in under six weeks — computationally designing multispecific antibodies in the dry lab, then cloning, expressing, purifying and functionally screening up to 2,300 multispecifics per cycle in an automated wet lab, and feeding the resulting proprietary data back into multi-objective ML models. The company operates a wholly-owned pipeline of selectivity-enhanced T-cell engagers alongside partnered antibody-optimisation programmes with Sanofi. LabGenius is a pre-clinical therapeutics company and publishes no public developer API, developer portal, or SDKs; this profile captures its public web and machine-readable surface only.

LabGenius Therapeutics is profiled on the APIs.io network. Tagged areas include Company, Biotechnology, Drug Discovery, Therapeutics, and Antibodies.

LabGenius Therapeutics’ developer surface includes engineering blog, support, and 15 more developer resources.

🌐 Visit website 📡 Source on GitHub

15.0/100 emerging ▬ flat Agent 4/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyBiotechnologyDrug DiscoveryTherapeuticsAntibodiesMachine LearningArtificial IntelligenceLife SciencesOncologyLaboratory AutomationSynthetic Biology

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 15.0/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 4.2 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 4/100 · 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 4 / 4

Consent & Bot Identity 0 / 3

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Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

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 8

The organization behind the API

Website

Blog

BlogRSS

Careers

Partnerships

LinkedIn

Twitter

Twitter

Bluesky

Bluesky

Scroll for all 8

Other 3

Properties that don't map to a standard resource type

Team

Team

Technology

Technology

Pipeline

Pipeline

Source (apis.yml)

aid: labgenius
name: LabGenius Therapeutics
description: LabGenius Therapeutics is a London-based drug discovery company that combines machine learning, high-throughput
  robotic experimentation and synthetic biology to discover and co-optimise next-generation therapeutic antibodies for solid
  tumours. Its EVA (Experimental Vector Automation) platform is a closed-loop, modality-agnostic discovery engine that runs
  a design-build-test-learn cycle in under six weeks — computationally designing multispecific antibodies in the dry lab,
  then cloning, expressing, purifying and functionally screening up to 2,300 multispecifics per cycle in an automated wet
  lab, and feeding the resulting proprietary data back into multi-objective ML models. The company operates a wholly-owned
  pipeline of selectivity-enhanced T-cell engagers alongside partnered antibody-optimisation programmes with Sanofi. LabGenius
  is a pre-clinical therapeutics company and publishes no public developer API, developer portal, or SDKs; this profile captures
  its public web and machine-readable surface only.
url: https://raw.githubusercontent.com/api-evangelist/labgenius/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- obvious-ventures
x-tier: profile
x-tier-reason: no-public-api
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://labgeniustx.com/wp-content/uploads/2025/01/labgenius-homepage-sharing.jpeg
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Biotechnology
- Drug Discovery
- Therapeutics
- Antibodies
- Machine Learning
- Artificial Intelligence
- Life Sciences
- Oncology
- Laboratory Automation
- Synthetic Biology
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://labgeniustx.com/
- type: Blog
  url: https://labgeniustx.com/news/
- type: BlogRSS
  url: https://labgeniustx.com/feed/
- type: Support
  url: https://labgeniustx.com/contact-us/
- type: TermsOfService
  url: https://labgeniustx.com/terms-of-use/
- type: PrivacyPolicy
  url: https://labgeniustx.com/privacy-policy/
- type: Careers
  url: https://labgeniustx.com/careers/
- type: Team
  url: https://labgeniustx.com/team
- type: Technology
  url: https://labgeniustx.com/technology/
- type: Partnerships
  url: https://labgeniustx.com/partnerships/
- type: Pipeline
  url: https://labgeniustx.com/pipeline/
- type: LinkedIn
  url: https://uk.linkedin.com/company/labgeniustx
- type: Twitter
  url: https://x.com/labgeni_us
- type: Bluesky
  url: https://bsky.app/profile/labgeniustx.bsky.social
- type: LLMsTxt
  url: llms/labgenius-llms.txt
- type: WellKnown
  url: well-known/labgenius-well-known.yml
- type: DomainSecurity
  url: security/labgenius-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence