What it sells
Engineering Intelligence and Token Optimization for the AI-Coding Era
Business model breakdown
Buyer: who owns the budget?
UnverifiedVPs/Heads of Engineering and leadership accountable for AI coding spend.
Trigger: what makes them buy now?
AI coding token bills rise but ROI is unproven; waste can be up to 40% of the bill.
Workflow: what inputs become what output?
Local agent scores prompts on-device, routes to the cheapest capable model, compresses context/logs, and reports spend, delivery points and per-person efficiency in dashboards and Slack/Teams digests.
Economics: what it saves and how it charges
Savings on token spend plus visibility; claims 98.93% of Fable accuracy at 24.9% lower cost on Terminal-Bench 2.1. Revenue model not stated.
Distribution: how it reaches customers
Demo-led ("Get a Demo"), research/whitepaper content marketing.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2026 | — | 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.