Our models build a persistent understanding of each company’s architecture, terminology, engineering conventions, and developer workflows using context from repositories, pull requests, Slack conversations, issue triage, and developer activity. Unlike existing products that treat every prompt or code review as a new interaction, Sigilix carries that organizational knowledge across its CLI, code review, Slack, and workflow tools.

Sigilix indexes a company’s codebase once, then continuously learns from every PR review, CLI session, chatbot conversation, bug fix, and developer correction. That persistent memory powers Empyrean, our AI engineering layer, and Boreas, our first codebase-aware model. The result is AI code review and coding agents that are cheaper, more accurate, and easier to trust.