Edra Raises $30M Series A to Build Self-Learning AI Agents for…

Team S · 2026-03-20T13:28:22.000Z

New York-based AI startup Edra has secured $30 million in a Series A funding round, as it advances its mission to automate enterprise operations using self-learning AI agents. The round was led by Sequoia Capital, with participation from 8VC and A*, highlighting strong investor confidence in Edra’s approach to AI-driven workflow automation. Founded by Eugen Alpeza and Yannis Karamanlakis-former leaders in AI engineering at Palantir the company is building systems that learn directly from an organization’s existing data such as emails, logs, support tickets, and internal communications. Unlike traditional automation tools that rely on manual configuration, Edra’s platform creates “living playbooks” dynamic knowledge systems that continuously evolve as business processes change. These AI agents can then execute tasks across functions like IT service management and customer support with minimal human intervention. The platform is already being used by enterprise clients including HubSpot, ASOS, and Cushman & Wakefield, demonstrating real-world applicability across industries. With this funding, Edra plans to expand product development, scale operations, and accelerate go-to-market efforts, positioning itself as a key player in the emerging category of AI-native enterprise automation. As enterprises increasingly seek to operationalize AI at scale, Edra’s approach of transforming raw business data into actionable intelligence could redefine how organizations automate complex workflows.

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Edra Raises $30M Series A to Build Self-Learning AI Agents for… | Newnex