Sequoia-Backed Edra Secures $30M to Build Enterprise AI Agents That Learn and Improve From Your Own Data

Startup Edra has secured $30 million in Series A funding in a round led by Sequoia, with participation from 8VC and A*z.

Edra develops AI agents that deeply internalize how a business operates before automating its workflows. Rather than relying on manually authored documentation, the platform reverse-engineers operational reality directly from existing enterprise systems, producing what the company calls executable knowledge: structured, transparent, and editable instructions that agents can immediately act upon.

The approach sidesteps one of enterprise automation's most persistent bottlenecks — the dependence on human-authored process documentation. Instead, Edra ingests the data organizations already generate continuously: support tickets, emails, system logs, and chat histories. From this stream of operational signal, it constructs a living knowledge base that reflects how a business genuinely functions, not merely how it was designed to function on paper. Crucially, the system refines itself over time through actual usage, while remaining fully transparent and human-editable throughout.

The company was co-founded by Eugen Alpeza, from Croatia, and Yannis Karamanlakis, from Greece — both former leaders of Forward Deployed AI Engineering at Palantir, where they helped establish the discipline out of the firm's London office. Their years embedded within large enterprises gave them an intimate view of the organizational knowledge problem: critical operational intelligence locked inside people's heads or buried in disparate systems, never successfully captured at scale.

Edra's core product, the Living Playbook, addresses this directly. The platform integrates with a customer's existing systems within minutes, ingesting standard operating procedures, historical tickets, and communications without requiring manual configuration. It then learns continuously from observed employee behaviour, surfacing suggested process improvements as it accumulates institutional context.

Unlike conventional static documentation or rigid knowledge bases, Living Playbooks are designed to evolve in lockstep with the business — adapting as processes shift, teams change, and organizational priorities are reordered.

The model is already demonstrating traction across industries where process knowledge constitutes a meaningful source of competitive differentiation. Edra is currently deployed in production environments at HubSpot, ASOS, and Cushman & Wakefield.

The results from HubSpot illustrate the platform's practical scale: Edra processed 150,000 support conversations, generated more than 600 knowledge base updates, and achieved a 12 percent reduction in human handoffs. Initial high-impact use cases have clustered around IT service management and customer technical support — domains where interaction data is abundant and the operational burden of unresolved queries is particularly acute.

The underlying engine has since expanded into adjacent functions. In sales enablement, the platform learns from call transcripts to construct a searchable repository of precedents and institutional reasoning for revenue teams. The broader principle holds across operational domains: wherever work is digitally captured and resolution requires contextual judgment, Edra's playbook engine can extract, systematize, and eventually automate the underlying process.

Sequoia partner Luciana Lixandru commented on the firm's conviction behind the investment:

"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."