WhatA platform that automatically routes different coding subtasks (architecture, boilerplate, tests, reviews) to the optimal model based on cost, speed, and quality requirements, with team-level budget controls.
SignalPower users are already manually choosing different models for different agents and tasks — using cheap/fast models for low-priority work and premium models for complex reasoning — but this is entirely manual and ad-hoc today.
Why NowThe performance gap between frontier and mid-tier models is narrowing for routine tasks, meaning intelligent routing can now save 50-80% on AI spend without meaningfully degrading output quality.
MarketEngineering teams spending $500-50K/mo on AI coding tools; $2-5B market as AI becomes embedded in every developer workflow; no dedicated solution exists for intelligent per-task model routing.
MoatAccumulating data on which models perform best for which coding tasks creates a proprietary routing intelligence that improves with scale.
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