// 01 / Speaker
Idan Raman is co-founder and CEO of Anchor Browser, which provides scalable computers to AI agents that need to work on real websites in production. Earlier, at Unit 8200, he built systems that had to work in environments actively trying to break them.
Anchor is backed by Blumberg Capital and Gradient. In October 2026 it launched Action Index, execution memory that lets agents replay proven web workflows as deterministic code, reaching state-of-the-art accuracy at 1/98th of the cost.
// 02 / About this session
Most web agents re-derive the same workflow on every run, paying for model calls at every step even when the task was solved an hour earlier. Idan shows how Anchor’s Action Index turns successful runs into execution memory: parameterized, deterministic actions keyed by domain and replayed as code over MCP or REST, with the model stepping in only where a page has changed.
The benchmark: on 300 Online-Mind2Web tasks, a small model with Action Index matched a frontier model’s 93% success rate at $0.016 per task instead of $1.57.
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