R

RunInfra

Open model APIs optimized for AI agents with session-aware caching and dramatically lower effective input costs.

Backed by Y CombinatorOpenAI & Anthropic SDK compatibleCoding plans from $10/monthPublished cache measurement methodologyGPU kernel optimized inference
Category
LLM inference API / AI infrastructure
Business model
Infrastructure/API usage fees plus subscription coding plans with included usage/credits
Target audience
Developers building AI agents and coding agents using OpenAI/Anthropic SDK-compatible open models
Opportunity score
62/100

RunInfra has a promising agent-specific wedge, but it operates in a capital-intensive, crowded infrastructure market.

Founder verdict
MAYBE

RunInfra has a real wedge in session-aware cached inference, but as a capital-intensive crowded infrastructure play it is not an easy solo-founder clone.

What is RunInfra?

RunInfra is an LLM inference API provider by RightNow that targets developers building AI agents. Its core claim is that agent workloads repeatedly send the same context, so by keeping sessions on warm replicas and optimizing GPU kernels, it achieves cache hit rates up to 99.2% and effective input costs far below list prices. It provides an OpenAI/Anthropic-compatible API and subscription coding plans for tools like Claude Code and opencode. MRR, growth, and team size are not publicly disclosed; the site shows Y Combinator backing and specific model-level pricing.

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