Verifier agents and self-healing repair loops behind an AI agent that runs product demos around the clock.
Agents that call your APIs, use tools and MCP servers, and run multi-step workflows end to end.
Pipelines that turn PDFs and 40MB workbooks into structured data an agent can read, evaluate and improve against.
An agent that proposes document edits and reconciles overlapping ones, with expert feedback in the loop.
We match on your stack, and you meet the engineer on an intro call before anything starts.
They join your Slack, codebase and standups. Not happy with the first week? Lyra refunds it in full.
Add engineers as the roadmap grows. Clients have scaled between one and ten engineers on one engagement.
Builds the agent and everything around it: tool calls, retrieval over your data, evals, and the observability to see why a run failed.
Yes. Engineers join your codebase and ship from week one, building with Claude Code, Cursor or Codex.
In days. At one YC-backed AI startup the first engineer started inside a two-week window, and the team grew to five.
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