
Entelligence AI is for engineering teams running AI coding agents in production who want to cut model spend without letting quality slip. It keeps one shared “world model” for your engineering work, then uses that memory to route agent turns and to review PRs based on what your team has seen fail before.
If you already use tools like Claude Code, Cursor, and Codex, Entelligence is designed to sit where those agents work, so routing and review happen inside that workflow. It also reports what it did in the ledger (what model handled which turns, what was billed, and what was saved versus frontier-only approaches).
It’s especially a fit when you see token waste (retries, repeated edits, rebuilds of the same context) and when your biggest risk is recurring failure modes. Entelligence’s review component is built to catch the same bug classes your team has already paid for, using incident-linked precedent rather than generic checklist comments.
For compliance and data handling, it states SOC 2 Type II controls and GDPR alignment, with options like self-hosting and bring-your-own-key deployments, plus role-based access and encrypted secrets at rest.
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