WhatAn intelligent routing layer that automatically selects the best LLM for each specific task from the rapidly growing pool of models, optimizing for quality, cost, and latency.
SignalCommenters describe bouncing between Claude, GPT, and Gemini month-to-month as each has temporary advantages, and note that differences between top models are marginal enough that harness quality matters more — suggesting value in smart selection rather than loyalty to one provider.
Why NowThe model landscape exploded in early 2026 with strong releases from OpenAI, Anthropic, Google, and multiple Chinese labs all leap-frogging each other, making manual model selection impractical.
MarketDevelopers and enterprises spending $1B+ annually on LLM API calls; competitors like OpenRouter handle routing but lack task-specific quality optimization; Martian AI is early but the space is underserved.
MoatProprietary performance data across real-world tasks creates a feedback loop — more routing decisions generate better routing intelligence, compounding over time.
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