Generalist
Generalist (Generalist AI) is a frontier AI research and product company building general intelligence for the physical world — embodied foundation models that train general-purpose robots to perform real-world physical tasks with human-level dexterity. Founded in 2024 by researchers drawn from OpenAI, Google DeepMind, and Boston Dynamics (contributors to PaLM-E, RT-2, Gemini Robotics, Atlas, Spot, and the scaling of ChatGPT and GPT-4), the company has released GEN-0 and GEN-1 — large multimodal embodied models that emit robot actions in real time across factories, warehouses, laboratories, restaurants, farms, homes, and space applications. GEN-1 is positioned as the first general physical AI model to cross a commercial-viability threshold. Generalist raised $400M in 2026 at roughly a $2B valuation ($500M+ total). It operates from the San Francisco Bay Area and Boston and, as of this profile, publishes no public developer API, SDK, or documentation surface.
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 Generalist 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 — Generalist scores 8.1/100 (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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Generalist
Each block below is one kind of artifact we hold for Generalist. 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 Generalist — 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.
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/generalist · machine-readable index on apis.io