What it sells
Find what's losing you customers and money in your AI agent and fix it
Business model breakdown
Buyer: who owns the budget?
Engineering leaders and founders running AI agents in production (customers: item, Mintlify, Heartbeat).
Trigger: what makes them buy now?
Agent quality problems and rising per-run costs that cannot be seen from raw logs.
Workflow: what inputs become what output?
Instrument agents with a few lines of code, capture traces, detect patterns/topics, query from IDE over MCP, Slack alerts, then benchmark changes in cost and quality.
Economics: what it saves and how it charges
Usage-tiered SaaS; item case study claims 45.6% lower modeled cost per run and +25.1% more customer runs.
Distribution: how it reaches customers
Self-serve "Start free" plus "Book a demo" for Pro and Enterprise; docs and MCP.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2025 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.