Inference Compute Broker for SMEs
One-Liner
An aggregator pooling SME inference demand across providers (SiliconFlow, Lambda, Replicate, Cerebras) to obtain volume discounts on AI compute costs.
AI Thinking Process
DIRECTION SKIPPED immediately. Inference commodity race to zero: 90% cost decrease 2023-2026. No moat in margin arbitrage on deflationary commodity. G087 confirmed.
Kill Reason
Commodity race with collapsing margins. Inference costs fell 90% from 2023-2026 and continue falling. SiliconFlow, Lambda, Replicate, and Cerebras are already competing on price in a deflationary commodity market. A broker has razor-thin margins on a product where prices are collapsing; no defensible moat exists when the only value is marginal price arbitrage that evaporates as providers continue their race to zero.
Risk Analysis
Risk analysis available for latest engine ideas.
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killed: NVIDIA already frames performance-per-watt as their core value proposition and publishes the exact metrics. Datadog and New Relic already monitor inference performance. The independent angle (investor-facing) is a consulting engagement, not a scalable product — consulting firms (Gartner, McKinsey) can add this to existing tech advisory services with no structural barrier.
killed: MCP (Model Context Protocol) is explicitly solving agent interoperability as the emerging standard. The protocol creator owns the most natural certification position, and free community testing tools emerge as part of any protocol launch. An independent testing startup cannot compete with the protocol's own creator for certification authority.
killed: MCP (Model Context Protocol) is explicitly solving agent interoperability as the emerging standard. The protocol creator owns the most natural certification position, and free community testing tools emerge as part of any protocol launch. An independent testing startup cannot compete with the protocol's own creator for certification authority.