01
Deliberation layer
Run multiple agents against the same task, compare their reasoning, and move forward only when review agreement is clear.
AI agent operations
Evriq.ai
AI agent operations for engineering teams.
Evriq turns multi-agent software work into an auditable operating system: route the right work to the right model, require reviewer agreement, benchmark quality, and keep delivery evidence in one place.
Platform
Built for the space between prompt and production.
Evriq focuses on the operational layer teams need when AI agents become part of real engineering delivery.
02
Execution middleware
Normalize model calls, hosted tools, local runners, rate limits, and transcripts behind one operating interface.
03
Quality bench
Compare models, prompts, and workflows against repeatable tasks before they become production defaults.
04
Capacity controls
Track account capacity, route sessions, and keep agent work moving without losing the evidence trail.
First products
Engineering-grade AI workflows, packaged from working tools.
Code review quality gates
Multi-reviewer checks before changes land.
Agent runbooks
Repeatable workflows with traceable decisions.
Routing and benchmarking
Measured model selection instead of guesswork.
Private build