Profluent
Profluent is a Berkeley, California AI biology company building frontier protein language models and using them to design functional proteins for therapeutics, gene editing, agriculture, and industrial enzymes. Founded by Ali Madani — previously architect of the ProGen large language model for proteins at Salesforce AI Research — Profluent pairs in-house foundation models with a wet lab to author novel proteins from scratch and validate them experimentally. The company's research has been published in Nature Biotechnology and Nature, and it is best known for OpenCRISPR-1, which it describes as the world's first AI-designed gene editor, released freely for research and commercial use. Profluent also publishes the ProGen3 family of protein generation models, ProseLM for structure-conditioned protein design, the E1 family of protein encoder models, Protein2PAM for CRISPR-Cas PAM specificity prediction, and the CRISPR-Cas Atlas dataset. Commercial partnerships include a multi-target collaboration with Eli Lilly worth up to $2.25 billion, and deals with Ensoma, Corteva, Integrated DNA Technologies, and the Rett Syndrome Research Trust. Profluent is backed by Spark Capital, Insight Partners, Air Street Capital, Altimeter, and Bezos Expeditions. The company does not publish a hosted developer REST API or commercial SDK; its surface area for external builders is the Profluent-AI GitHub organization (model weights and inference code), the Protein2PAM web tool, and partnership engagements.
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 Profluent 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 — Profluent scores 13.4/100 (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.
How we profile Profluent
Each block below is one kind of artifact we hold for Profluent. 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 Profluent — 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
Build 7
SDKs, sample code, and the tooling you integrate with
Scroll within the panel for all 7 ·
Access & Security 1
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
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 9
Properties that don't map to a standard resource type
Scroll within the panel for all 9 ·
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