Latent Labs
Latent Labs is a London- and San Francisco-based frontier AI lab founded in 2023 by Dr. Simon Kohl, a former senior research scientist on DeepMind's Nobel Prize-winning AlphaFold 2 and co-lead of DeepMind's protein design team. The company builds generative AI foundation models to make biology programmable, with the goal of enabling biotech and pharmaceutical partners to computationally generate and optimize therapeutic molecules. Latent Labs emerged from stealth in February 2025 with $50M in total funding ($40M Series A co-led by Radical Ventures and Sofinnova Partners, plus 8VC, Kindred Capital, Pillar VC, Flying Fish, Isomer, and angel investors including Jeff Dean, Aidan Gomez, and Mati Staniszewski). The company's proprietary model family includes Latent-X (atom-level de novo protein binder design for macrocycles and mini-binders), Latent-X2 (drug-like antibodies with low ex vivo immunogenicity), and Latent-Y (described as the first lab-validated agent for drug design). Models are accessed through the Latent Labs Platform (platform.latentlabs.com) — a no-code web application with a free tier and daily credits — and, for Latent-X2, via API for commercial partners. There is no public OpenAPI spec, SDK, or open-source release at this time; programmatic access is gated through [email protected] and wet-lab validation is performed in-house at the company's San Francisco facility.
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 Latent Labs 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 — Latent Labs scores 19.0/100 (emerging), with a separate agent-readiness read of 0/100 (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 Latent Labs
Each block below is one kind of artifact we hold for Latent Labs. 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 Latent Labs — 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.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Access & Security 1
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 6
The organization behind the API
Other 8
Properties that don't map to a standard resource type
Scroll within the panel for all 8 ·
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