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H Company: Agentic AI Architectures and Autonomous Digital Workflow Orchestration

Strategic analysis of H Company’s "action-oriented" AI models. Mapping Runner H and vision-language architectures for C4ISR automation and European digital sovereignty.

21 pages · PDF · 26 December 2025 · Licensed single-user copy, watermarked to the buyer

Tactical Generative Models Large Language Models France

Cover of the DFM report “H Company: Agentic AI Architectures and Autonomous Digital Workflow Orchestration” — Defence-Finance Analysis, 21-page PDF

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About this report

Holistic AI (now rebranded as “H Company”) is a Paris-based deep-tech AI startup specializing in agentic AI – autonomous learning models designed to plan and execute tasks on behalf of human users. The company’s core offering is a suite of AI “agents” (named Runner H, Surfer H, and Tester H) that automate multi-step digital workflows (e.g.

software testing, web navigation, etc.) using proprietary large language and vision-language models . By enabling computers to perceive GUIs and perform complex tasks, H Company’s technology directly addresses Europe’s emphasis on advanced artificial intelligence and automation as dual-use capabilities .

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Inside this report

Who it's for

Investors screening H Company, competitors and partners assessing their position, and analysts who need a sourced, structured account of the entity and its technology.

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DFM reports are built from primary and official sources — TED procurement notices, CORDIS and the EU Funding & Tenders Portal, EIB operations, the NATO Innovation Fund portfolio, SIPRI data, official budget documents and company disclosures — read together with the underlying legal texts. Sources are cited in the document; it reflects them as of its publication date (26 December 2025). You receive a 21-page PDF, watermarked to you on every page, delivered on the confirmation page and by e-mail immediately after checkout (personal link valid 72 hours, up to 5 downloads). Guest checkout, single-user licence — Terms of Sale.

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