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Intelligence Factory website screenshot

Intelligence Factory

Intelligence Factory is a San Francisco robotics and embodied-AI startup (Y Combinator Spring 2026) building general-purpose foundation models for robotic manipulation. Its stated mission is "Human Intelligence for Robots" — deploying bots with human-level dexterity and reasoning in the real world. The team trains models on human demonstration data captured through custom gloves that record what a person sees, does, and feels, retargets that human motion onto robot motion, and deploys the resulting models across robot platforms from dexterous hands to grippers, with early focus on warehouses, grocery stores, and data centers. The company was founded by Yash Sinha (CEO) and Jalaj Shukla (CTO), with a team drawn from ETH Zurich, University of Pennsylvania, Harvard, NVIDIA, Formula 1, and Ansys. As of this profile it publishes no public API, SDK, developer documentation, or GitHub organization — it is an early-stage lead in the API Evangelist network.

human only

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.

Kin Score

Intelligence Factory is tracked in the API Evangelist network. This page is the human-readable profile that sits on top of the machine-readable index we maintain at apis.io.

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 — Intelligence Factory scores 6.8/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 6.8/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
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

Resources

Every other property we hold for Intelligence Factory — 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.

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Intelligence Factory is in the network as a tracked entity. We haven't yet indexed a public API surface for it — when one is published, the artifacts, score, and agent-readiness read will appear here automatically. The source repository is where that profile is built.

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