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Culture Biosciences website screenshot

Culture Biosciences

Culture Biosciences is a South San Francisco TechBio company that builds cloud-connected bioreactor systems and bioprocess development services for cell culture. Its platform pairs automated single-use bioreactors (250mL bench-scale and 5L, plus the Stratyx mobile bioreactor) with Console, a cloud-native software product for real-time monitoring, experiment management, data analytics, and remote collaboration. Through its Nexxys services group the company runs clone/strain/construct screening, process characterization, process development, and bioprocess modeling and simulation for customers working on synthetic biology, protein therapeutics, and viral vectors. Culture Biosciences lets teams outsource and scale bioreactor experiments without scaling their own lab infrastructure. Backed by DCVC, Northpond Ventures, Synthesis Capital, S32, and Cultivian Sandbox Ventures. This profile is maintained in the API Evangelist network; the company operates the Console cloud platform but does not currently publish a public developer API, OpenAPI, SDKs, or developer documentation.

human 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.

Kin Score

API Evangelist profiles Culture Biosciences 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 — Culture Biosciences scores 17.1/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 17.1/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 6.8 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Regulatory · Health 4.6 / 15
Agent readiness — 0/100 · 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 0 / 4
Consent & Bot Identity 0 / 3

How we profile Culture Biosciences

Each block below is one kind of artifact we hold for Culture Biosciences. 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.

Culture Biosciences Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Every other property we hold for Culture Biosciences — 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

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/culture-biosciences · machine-readable index on apis.io