doubleAI website screenshot

doubleAI

doubleAI (legal entity AAI Technologies Ltd.) is an Israeli AI research company building Artificial Expert Intelligence (AEI) — AI systems that focus their full training capacity on a single technical domain to match and surpass leading human experts, rather than pursuing broad general intelligence. Its flagship system, WarpSpeed, is an AI GPU performance engineer that optimizes NVIDIA kernels, beating hand-tuned expert baselines on the majority of tested kernels. Founded in late 2023 by Prof. Amnon Shashua and Prof. Shai Shalev-Shwartz and based in Ramat Gan, Israel, the company has raised roughly $221M from Lightspeed, NVIDIA, Michael Dell, Bessemer Venture Partners, Pitango First, and Greenfield Partners at a valuation exceeding $1B. doubleAI publishes research and open-source code but does not currently expose a public developer API.

doubleAI is profiled on the APIs.io network. Tagged areas include Company, Ai Ml, Artificial Intelligence, Machine-Learning, and Deep Learning.

doubleAI’s developer surface includes engineering blog and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub
6.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyAi MlArtificial IntelligenceMachine-LearningDeep LearningGPU OptimizationResearchArtificial Expert Intelligence

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 6.6/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.5 / 20
Access Clarity 0.0 / 20
Operational Transparency 0.3 / 13
Contract Governance 0.0 / 12
Discoverability 5.7 / 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.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/doubleai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Doubleai Domain Security

TLSv1.2 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 5

The organization behind the API

Website
Website
 About
About
 Blog
Blog
 Careers
Careers
 LinkedIn
LinkedIn

Source (apis.yml)

apis.yml Raw ↑ 
aid: doubleai
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/doubleai.png
name: doubleAI
description: doubleAI (legal entity AAI Technologies Ltd.) is an Israeli AI research company building Artificial Expert Intelligence
  (AEI) — AI systems that focus their full training capacity on a single technical domain to match and surpass leading human
  experts, rather than pursuing broad general intelligence. Its flagship system, WarpSpeed, is an AI GPU performance engineer
  that optimizes NVIDIA kernels, beating hand-tuned expert baselines on the majority of tested kernels. Founded in late 2023
  by Prof. Amnon Shashua and Prof. Shai Shalev-Shwartz and based in Ramat Gan, Israel, the company has raised roughly $221M
  from Lightspeed, NVIDIA, Michael Dell, Bessemer Venture Partners, Pitango First, and Greenfield Partners at a valuation
  exceeding $1B. doubleAI publishes research and open-source code but does not currently expose a public developer API.
url: https://raw.githubusercontent.com/api-evangelist/doubleai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bessemer-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Ai Ml
- Artificial Intelligence
- Machine-Learning
- Deep Learning
- GPU Optimization
- Research
- Artificial Expert Intelligence
tags_raw:
- Company
- Ai Ml
- Artificial Intelligence
- Machine Learning
- Deep Learning
- GPU Optimization
- Research
- Artificial Expert Intelligence
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.doubleai.com/
- type: About
  url: https://www.doubleai.com/about
- type: Blog
  url: https://www.doubleai.com/research
- type: Careers
  url: https://www.doubleai.com/careers
- type: GitHubOrganization
  url: https://github.com/double-ai
- type: LinkedIn
  url: https://www.linkedin.com/company/doubleai
- type: LLMsTxt
  url: llms/doubleai-llms.txt
- type: DomainSecurity
  url: security/doubleai-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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