Adaptive

Adaptive

Choose the best model for your task

10 followers

Adaptive cuts LLM costs by up to 90% while boosting response quality. Real-time routing, semantic caching, and automatic failover ensure cheaper, faster, more reliable inference, with zero setup and no vendor lock-in.
Adaptive gallery image
Adaptive gallery image
Adaptive gallery image
Adaptive gallery image
Adaptive gallery image
Free
Launch Team / Built With
Anima - Vibe Coding for Product Teams
Build websites and apps with AI that understands design.
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What do you think? …

Botir Khaltaev

Every LLM routing platform promises easy integration but delivers complexity. Hours of setup, manual fallback chains, and constant maintenance.

We built the first router that actually thinks - with true zero-config deployment.

Smart prompt analysis - Automatically selects optimal models based on request features
Sub-millisecond routing - Go-powered backend for instant decisions
Cost optimization - Stop paying Claude Opus prices for GPT-mini tasks
Live failover - Real-time provider health monitoring
Format adaptation - Call Anthropic messages API, get access to OpenAI and many other providers.

One API call. Intelligent decisions. 60% cost savings.

The infrastructure that makes your AI features bulletproof.

Mohamed Atoui

Today, new LLMs appear almost every day, and picking the right one for your task is harder than ever. That’s why we built Adaptive, an intelligent routing solution that automatically chooses the best LLM for each request.

Our decisions take into account things like request content, prompt length, tool usage, and more. And if you have your own fine-tuned models, no worries Adaptive works with them out of the box, no retraining or extra setup required.

We’re just getting started, with more features coming soon based on customer needs. Give it a try, and let us know your thoughts.

we’d love to hear your feedback!

Natalie Chan

Awesome demo, everyone needs to check this out. Will be testing out on my own projects.

Botir Khaltaev

@natalie_chan4 Hey Natalie, thanks alot for the support! We would love any feedback that you have as well!