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 partnerships@latentlabs.com and wet-lab validation is performed in-house at the company's San Francisco facility.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
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 9.3/100 (minimal), 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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Put this on your own site. The badge is drawn live from Latent Labs's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/latent-labs/"
title="Latent Labs on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/latent-labs.svg"
alt="Latent Labs Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>
[](https://providers.apievangelist.com/providers/latent-labs/)
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/latent-labs/"
title="Latent Labs on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/latent-labs/card.svg"
alt="Latent Labs Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>
More shapes, themes and sizes → · Score as JSON · How badges work
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 ·
← All providers · Data indexed from github.com/api-evangelist/latent-labs · machine-readable index on apis.io
This is an independent, third-party profile of Latent Labs, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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