Sequoia-Backed Edra Raises $30M Series A To Build Self-Improving AI Agents

The company develops AI agents that learn how a business operates and then automate its workflows. By analysing existing systems, Edra reverse-engineers how companies actually function and turns that understanding into executable knowledge structured, transparent instructions that AI agents can use to perform tasks.

Rather than relying on employees to manually document processes, Edra draws on the data businesses already generate, including support tickets, emails, logs, and chat histories.

This allows the platform to build a dynamic knowledge base that reflects how the business truly operates, rather than how it appears on paper. As teams use the system it continues to learn and improve while remaining transparent and editable.

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Edra was founded by Eugen Alpeza of Croatia and Yannis Karamanlakis of Greece, former leaders of Forward Deployed AI Engineering at Palantir, where they helped establish the function in the company’s London office. After years of working inside large enterprises, they saw firsthand how process knowledge often remains fragmented, outdated, or difficult to scale.

Edra addresses this by building what it calls a Living Playbook. The platform connects to a customer’s existing systems within minutes, ingesting standard operating procedures, tickets, and internal communications without manual configuration. It then continuously learns from real employee behaviour and suggests improvements over time.

Unlike static documentation or traditional knowledge bases, Living Playbooks evolve as the business changes. This model is already gaining traction across industries where operational knowledge is a competitive advantage, with Edra now in production at HubSpot, ASOS and Cushman & Wakefield.

At HubSpot, for example, Edra analysed 150,000 support conversations, identified more than 600 knowledge base updates, and reduced human handoffs by 12%. Early use cases have focused on IT service management and customer technical support, where the operational pain points are significant and the data is especially rich.

The same underlying system is now being applied to sales enablement, using call transcripts to create a searchable library of precedents for revenue teams and other business functions. In effect, any area where work is captured digitally and decisions rely on human judgment can be transformed into a structured, scalable playbook.

According to Sequoia partner Luciana Lixandru: “As always, our investments are all about people. When I first met Eugen and Yannis, what struck me was not only what they had built, but how they work together.

Eugen is one of the most commercially gifted people I have met someone who earns the trust of sceptical buyers and makes them believe. Yannis is technically exceptional, the kind of partner who makes the hardest things feel solid. Their dynamic as a founding duo is a genuine superpower.”

About Edra

Edra builds AI agents that learn how a business actually operates and automate work accordingly. By analysing existing systems, documents and ticket histories, it creates structured, transparent instructions agents can act on. Founded in 2024, Edra is a Series A startup backed by Sequoia and other leading venture capital firms.