Inside Archestra.AI’s $10M Seed Round: Open-Source Guardrails for Enterprise AI Agents

Several strategic angel investors and funds joined the seed round, including 20 Product (led by Will Wu, CPO at Match Group), Olivier Pomel (CEO and co-founder of Datadog), and Visible Ventures with Carolyn Everson (a board member at Coca-Cola and Disney who was formerly a Senior Advisor to Mark Zuckerberg). Additional participants include Tenacity Capital, Kieran Flanagan (CMO at HubSpot), the co-founders of ESL FACEIT Group, Debo Dutta (Chief AI Officer at Nutanix), and Alexandre Berriche (Founder of Fleet) .

Founders and Origin Story

Archestra.AI was founded in 2025 in London by Matvey Kukuy and Ildar Iskhakov . The founding team’s pedigree is rooted in infrastructure and developer tools, with both founders previously at Grafana Labs, the widely adopted open-source analytics and visualization platform . This background directly informs the company’s product philosophy of building open-source, developer-first tooling for a complex operational problem.

The Platform: A Secure Broker for Agentic AI

At its core, Archestra.AI is an open-source platform that acts as a secure gateway, brokering access between AI agents and sensitive enterprise data . It is designed to provide the guardrails that enterprises require before allowing generative AI tools to interact with internal systems and company data .

The platform essentially solves the permissioning and security layer for the emerging agentic AI ecosystem, ensuring that when an AI agent executes a task, it does so with strictly governed and auditable data access. This positions the startup not as an AI model builder, but as critical infrastructure for the enterprise agent era.

Client Traction and Use of Funds

The company’s announcement frames the round around soaring demand for safely unlocking next-generation agentic use cases inside large organizations . The new capital is earmarked for three primary objectives: expanding deployments inside large enterprises, growing the open-source ecosystem, and scaling both the go-to-market (GTM) and engineering teams . While the company’s specific client names were not disclosed in the funding announcement, the intent to deploy faster into regulated industries and large enterprises underscores the platform’s focus on high-stakes environments .