AI inference that
improves itself.
One OpenAI-compatible endpoint. Route across your providers, fine-tune task-specific models on your real traffic, redeploy automatically. The loop is the product.
Route. Analyze. Fine-tune. Optimize. Repeat.
Slancha routes across your providers, classifies your traffic, trains task-specific models on it, optimizes serving, and redeploys the upgrade. The longer you use it, the cheaper and better it gets.
No model selection. No ML team. No infrastructure.
AI inference that improves itself.
Cost savings on day one.
The router sends every request to a right-sized model behind one OpenAI-compatible endpoint. Stop paying frontier prices for tasks a smaller model handles well.
Improvement that compounds — 15.9× cheaper today.
Slancha fine-tunes task-specific models on your real traffic. The more you route through it, the tighter the loop. The latest measurement: $0.066 routed vs $1.05–$1.21 always-frontier on the agent task we benchmark. Same OpenAI-compatible API, cheaper and better answers over time.
Zero technical overhead.
No model selection. No benchmarking. No fine-tuning teams. No architecture decisions. You just use the API.
The loop that gets cheaper the more you use it
Routing across your providers. Models trained on your traffic. Inference tuned to your workload. The longer you use Slancha, the more it learns about your work.
Intelligent Model Routing
Every request goes to a right-sized model. Easy tasks hit efficient models. Hard tasks hit capable ones. Semantic classification with no LLM in the hot path. BYOK, OpenAI-compatible, drop-in via base_url.
Automatic Task Analysis
Slancha classifies what you send (summarization, code, QA, retrieval) and turns that signal into the substrate for fine-tuning. No datasets to upload, no labels to define.
Behind-the-Scenes Fine-Tuning
Task-specific models trained on your routed traffic. Smaller, cheaper, faster than the frontier — tuned for the work you actually do. Reserved capacity on Pro.
Inference Optimization
Lower cost per token at the same quality bar. Stacks with the fine-tuning above — 15.9× cheaper at quality parity on the agent task we benchmark, with the gap widening as your task-specific models compound on routed traffic.
Continuous Redeployment
When a stronger open-source base drops, Slancha re-fine-tunes on your existing data and rolls the upgrade in. Your models get better while you sleep.
Hedged Against Frontier Pricing
Routing puts cheap tasks on cheap models from day one. Fine-tuned models on your hot tasks compound the savings. Frontier price changes hurt you less the longer you use Slancha.
Plans that scale with your inference
Free
Developers evaluating smart inference routing
Route requests to the right model automatically. Bring your own API keys. Slancha never touches your inference bill.
Hobbyist
Solo developers and side projects (we sell to your team via Pro)
Generous quota at a friendly price. Still BYOK: you pay your providers directly, Slancha handles routing at $0.50 per 1K requests past the 50K included.
Pro
AI/ML leads at companies spending $200K+/yr on OpenAI and Anthropic
Production routing: 100K included, $0.40 per 1K overage, priority queue, dedicated Slack. Reserves capacity for the full improvement loop on your traffic.
Enterprise
Organizations needing dedicated support, volume pricing, and bespoke deployment
Custom deployment, volume routing pricing, dedicated support. Rates negotiable. Talk to us.