aid: doubleai 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: '0.20' created: '2026-07-17' modified: '2026-07-18' tags: - 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