Generalist AI
Generalist AI is a frontier AI research and product company founded in 2024 that is building general intelligence for the physical world. Rather than manufacturing robots, Generalist builds the embodied foundation models — the "brain" — that run across many robot types and hardware configurations, with an emphasis on dexterity and autonomy. Its founding team of researchers, roboticists, and operators comes from Google DeepMind, Boston Dynamics, and OpenAI, with prior work on PaLM-E, RT-2, Gemini Robotics, Atlas, Spot, and the scaling of large language models. The company's GEN-1 model (April 2026) is described as the first general-purpose model to reach mastery of simple physical tasks, running with full autonomy. Generalist operates from the Bay Area (San Mateo / San Francisco) and Boston, and has raised more than $500M — including a $400M round at a roughly $2B valuation backed by Nvidia, Bezos Expeditions, Radical Ventures, 8VC, Union Square Ventures, Norwest Venture Partners, Hanabi Capital, and boldstart ventures. Generalist AI currently publishes no public API or developer program; this profile captures its company identity and web presence for the API Evangelist network.
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 AI 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 AI scores 7.2/100 (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 AI
Each block below is one kind of artifact we hold for Generalist AI. 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 AI — 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
Learn 1
Tutorials, courses, talks, and written guidance
Operate 1
Status, limits, changes, and where to get help
Company 5
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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