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.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles LabGenius Therapeutics the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — LabGenius Therapeutics scores 15.0/100 (emerging), with a separate agent-readiness read of 4/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile LabGenius Therapeutics
Each block below is one kind of artifact we hold for LabGenius Therapeutics. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for LabGenius Therapeutics — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 8
The organization behind the API
Scroll within the panel for all 8 ·
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/labgenius · machine-readable index on apis.io