One-Liner
A cross-provider AI inference procurement optimization engine — like a Bloomberg Terminal for inference costs — providing real-time pricing comparison, quality benchmarking, and routing recommendations across AWS Bedrock, Azure OpenAI, and direct model provider APIs.
AI Thinking Process
Commodity trading intelligence transplanted to AI inference procurement — Bloomberg Terminal equivalent for cross-provider inference cost optimization with real-time routing
Pass 1 found Artificial Analysis ($250K) for model comparison/benchmarking. Noted they do comparison, not routing. Concluded the routing gap might be real
40% conviction, right at minimum threshold. Biggest worry: Artificial Analysis expands from benchmarking to procurement optimization
Martian discovered: $9M raised (NEA, General Catalyst, Accenture), intelligent LLM routing across 200+ models, 300+ enterprise customers including Amazon to Zapier. DIRECT competitor doing exactly what this idea proposes
Requesty.ai, LiteLLM (open source), RouteLLM (Stanford, 98% savings demonstrated) also found. Space is crowded at every price point
Martian is a well-funded direct competitor executing exactly this product. LiteLLM provides free alternative. No viable gap remains
Kill Reason
Martian ($9M raised from NEA, General Catalyst, Accenture, 300+ enterprise customers) does exactly this — intelligent model routing across 200+ models from OpenAI, Anthropic, Google, Mistral. Additionally, LiteLLM (open source), Requesty.ai, and RouteLLM (Stanford research demonstrating 98% cost savings) occupy this space at every price point from free to enterprise.
Risk Analysis
Risk analysis available for latest engine ideas.
What do you think?
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