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.

Intelligence Factory is profiled on the APIs.io network. Tagged areas include Company, Robotics, Embodied AI, Foundation Models, and Robotic Manipulation.

🌐 Visit website 📡 Source on GitHub

5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Robotics Embodied AI Foundation ModelsRobotic ManipulationArtificial Intelligence Machine-Learning Y Combinator

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 5.0/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Access Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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Resources

Company 2

The organization behind the API

Website

Website

LinkedIn

Other 1

Properties that don't map to a standard resource type

Whitepaper

Whitepaper

Source (apis.yml)

aid: intelligence-factory
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/intelligence-factory.png
name: Intelligence Factory
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/intelligence-factory/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
x-yc-batch: Spring 2026
x-location: San Francisco, CA
x-founders:
- Yash Sinha (CEO)
- Jalaj Shukla (CTO)
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Robotics
- Embodied AI
- Foundation Models
- Robotic Manipulation
- Artificial Intelligence
- Machine-Learning
- Y Combinator
tags_raw:
- Company
- Robotics
- Embodied AI
- Foundation Models
- Robotic Manipulation
- Artificial Intelligence
- Machine Learning
- Y Combinator
apis: []
common:
- type: Website
  url: https://intelligence-factory.com
- type: LinkedIn
  url: https://www.linkedin.com/company/intelligence-factory/
- type: Whitepaper
  url: https://drive.google.com/file/d/1TrU7RXPk1Obk6SaqioFraaBpZaHSDPOt/view?usp=sharing
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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