Archestra raises $10M to broker AI agent access to corporate data
Archestra Inc., a U.K.-based startup whose open-source platform brokers access between artificial intelligence agents and sensitive enterprise data, today announced that it has raised $10 million in new funding to expand deployments inside large enterprises and grow its open-source ecosystem.
The platform is in production at four Fortune 500 companies, where agents are working across legal, procurement, management and operations. Archestra says enterprise AI teams can wire agents to internal data in days rather than months and without the data exfiltration and prompt-injection risks that have stalled earlier pilots.
Archestra acts as a middle layer between the agent and the data. The agent calls Archestra, which checks identity and policy, brokers the actual data access and logs the result. The company describes it as a horizontal layer that lets enterprises run any popular agent framework or model without rewiring data access for each one. Connectors ship for Jira, Confluence, GitHub, Notion, SharePoint, Google Drive and Salesforce, and the platform supports Claude, ChatGPT, Gemini and open-source models.
The platform runs on Kubernetes and ships with a Helm chart for production deployments and a Terraform provider for infrastructure as code. Secrets sit in a HashiCorp Vault or Kubernetes Secrets with automatic rotation. Model Context Protocol servers run inside isolated containers with per-team access control and full audit trails. Archestra says 95th-percentile latency comes in at 45 milliseconds.
