Paris-based startup Twin Labs has launched a cloud platform that allows users to build and deploy autonomous AI agents using plain English prompts, removing the need for coding, servers, or infrastructure setup.
The company announced a $10 million seed round led by LocalGlobe as it enters the fast-growing AI agent market.
Twin’s platform enables users to create agents that can handle tasks such as hotel bookings, lead qualification, contract processing, and trading workflows, while the system manages integrations, error handling, and scaling automatically.
During its private beta, early users deployed more than 142,000 autonomous agents across sales, finance, and customer operations.
Adoption has been driven by speed and simplicity, with agents going live in minutes rather than requiring complex configuration or deployment pipelines.
Twin Labs is positioning itself as a cloud-first alternative to local agent frameworks such as Moltbot.
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While some developers prefer running AI systems on their own machines for greater control, Twin targets teams and businesses that prioritise reliability, automation, and a minimal setup.
Investor interest reflects a broader shift in AI adoption, as companies move beyond chat interfaces toward systems that execute real-world tasks autonomously.
As AI agents become more embedded in business workflows, platforms that abstract infrastructure and maintenance are gaining traction.
By lowering AI agent creation to natural language, Twin Labs is betting that the next phase of AI adoption will be driven by outcomes rather than tooling.
