Cominty AI
C20
Description
Prototyping an AI agent takes an afternoon, yet 95% of projects fail to reach production: embedding and operating it inside a product or business process exposes teams to months of costly R&D and maintenance, vendor lock-in, and loss of sovereign control.
As the first independent, model & cloud-agnostic European Agentic AI system, Cominty empowers Tech & Product teams (CTOs, VPs of Eng, PMs) and CIOs/CISOs across SaaS vendors and enterprises of all sizes to make any product or workflow AI-native in days — with zero infrastructure effort, zero lock-in, full control, and complete governance.
Via a No-Code SaaS Portal or Python SDKs and API, Cominty Managed Agents combine an in-house built-in Harness (orchestration, memory, skills, code execution, 1,000+ tool/MCP/RAG connectors, 200+ AI models with failover) and a durable Runtime (checkpoints, human-in-the-loop, cost controls, kill switch) with isolated execution in dedicated sandboxes, fine-grained security and SOC 2 Type II, ISO 27001, GDPR & EU AI Act compliance.
With battle-tested reliability and 10,000+ agents running in production every day, the infrastructure powers both Digital Native SMBs like Values.media, which built an agentic programmatic advertising solution, and mid-market enterprises like Berger-Levrault, with the deployment of the agentic portal across 2,500 employees.
Free from the technical debt of open-source frameworks and the model and cloud lock-in of US tech giants, Cominty runs on European-hosted cloud infrastructure or directly on customers’ own Kubernetes clusters. Its pricing is fully transparent: pay only for agent runs, with 0% markup on AI model token costs.
Its modular architecture, designed from the ground up to absorb the market’s extreme volatility and rapid evolution, delivers Day-0 support for new models and the fastest integration of emerging protocols and tech building blocks, with an Enterprise-first approach.
Backed by 3 years of continuous R&D in Paris, Cominty is led by 3 founders with 10 years of experience building and deploying enterprise AI solutions at scale.
