Edra's living-playbook bet: Palantir alumni raise $30M Sequoia-led Series A

Edra is a New York AI startup founded in 2024 by Eugen Alpeza and Yannis Karamanlakis, who met at university 13 years ago and spent years at Palantir — Alpeza building commercial accounts and leading the launch of Palantir's AI platform, Karamanlakis as the company's first forward-deployed AI engineer. Their bet: companies sit on huge amounts of operational data — emails, logs, support tickets, chat histories — but have no good way to act on it, so Edra reverse-engineers that data into executable knowledge instead of asking humans to document how work is done.

On March 18, 2026 Edra came out of stealth with a $30M Series A led by Sequoia, with participation from 8VC and A*. The product connects to a customer's existing systems within minutes, ingests standard operating procedures, tickets and communications, and builds a 'Living Playbook' — structured, white-box instructions AI agents can act on, which continuously learn from actual employee behavior and remain transparent and editable.

The pattern is already in production: HubSpot, ASOS and Cushman & Wakefield. At HubSpot, Edra analyzed 150,000 support conversations, surfaced more than 600 knowledge-base updates and cut human handoffs by 12%. First use cases are IT service management and customer support, where the data is rich and the pain acute; the same engine now powers sales enablement by learning from call transcripts.

As of September 2026 Edra is live and expanding beyond its first use cases. The open question is whether 'living' documentation can displace entrenched knowledge-management and workflow-automation incumbents — and whether its agents can keep learning without drifting into inaccuracy.