WhatAn intelligent middleware layer that routes AI tasks to the best specialized model for each specific capability dimension rather than defaulting to one general-purpose frontier model.
SignalThere is a growing conviction among practitioners that scaling general models has diminishing returns and that specialized models outperform on specific dimensions, but the industry keeps investing in monolithic models because switching costs are high and routing infrastructure does not exist.
Why NowThe proliferation of open-weight specialized models combined with disillusionment about benchmark-topping general models creates the perfect moment for a routing layer that matches tasks to the right specialist.
MarketAI application developers and enterprises running multi-model stacks. TAM aligns with the AI inference market (billions). Competitors like Martian and OpenRouter exist but focus on cost/latency routing, not capability-dimension routing.
MoatProprietary performance data across model-task combinations that improves with usage volume, creating a data flywheel that new entrants cannot replicate without comparable traffic.
How We Broke Top AI Agent Benchmarks: And What Comes NextView discussion ↗ · Article ↗ · 429 pts · April 11, 2026
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