Shakudo gives your teams a unified API layer to route, monitor, and optimize every LLM call across every provider, deployed in your own infrastructure.
Quick overview of pricing, features, and deployment options.
Every team picks its own model, builds its own integration, and generates its own bill. Shakudo unifies model access into a single governed gateway.
Every request is automatically matched to the right model based on complexity, cost, and latency requirements. No manual selection needed.
One endpoint for OpenAI, Anthropic, open-source, and self-hosted models. Switch providers without changing application code.
Track token usage, set budgets per team, and eliminate redundant context windows. See exactly where every AI dollar goes.
Route, optimize, and govern every model call from a single control plane, deployed in your infrastructure.
60-80% of enterprise requests don't need expensive frontier models. Shakudo's gateway automatically routes each request to the most cost-effective model that meets quality requirements, delivering up to 20x cost reduction.
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OpenAI, Anthropic, Google, Mistral, Llama, or your own fine-tuned models, all accessible through a single API. Add new providers in minutes, not weeks.
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Agents resend the same context hundreds of times per session. Shakudo compacts redundant context automatically, reducing context costs by 80-90% without degrading output quality.
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I do not want to be in a position where I have to pay for a token for every single piece of work. Eventually I want to buy compute, scale it, and run our own LLMs next to our data.