Sequa is building context infrastructure for the emerging agent economy. As AI coding agents like Claude Code, Codex, and Cursor become part of everyday development workflows, teams face a growing reliability problem: agents often operate on incomplete or outdated product knowledge, leading to hallucinations and inconsistent changes in complex codebases. 

Sequa solves the coding context problem at the system level. The platform continuously generates and maintains verified product context across repositories and services, giving AI agents a reliable, up-to-date understanding of how the software actually works.

While Sequa provides a human interface, its primary purpose is not traditional documentation. The interface acts as a context viewer and control layer where teams can inspect, validate, and manage what AI agents know about their systems. The goal is to make agent behavior predictable and safe in real-world engineering environments.

To quantify the impact, Sequa published the Context Engine Benchmark. In early tests on real-world codebases, Claude showed up to 2.2x improvement on key understanding tasks when powered with verified context:
https://sequa.ai/blog/context-engine-benchmark

Sequa works with early design partners operating large, fast-changing systems. The long-term vision is to become foundational infrastructure for context-aware, agent-driven software development.

Sequa AI

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Sequa AI

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