Route every request to the most efficient model for the job. LeanRouter helps enterprises reduce AI spend by automatically matching each prompt to the right model, escalating to expensive frontier models only when the task actually requires them.
Lower cost. Lower waste. Same ambition.
Every new AI feature creates another path for token spend to grow.
Coding agents. Support copilots. Internal assistants. Legal workflows. Engineering tools. Sales automation. Document processing. Voice agents. RAG systems.
The default pattern is simple: send everything to the best model.
But "best" often means "most expensive."
And most enterprise AI workloads do not need the same level of intelligence every time.
LeanRouter gives enterprise teams a single routing layer that makes model selection intelligent, measurable, and policy-driven.
Instead of hardcoding one model into every workflow, LeanRouter evaluates the task and sends it to the most efficient model that can complete it well.
Simple tasks stay efficient. Complex tasks escalate. Sensitive workloads follow your provider and security rules.
Not every prompt needs your most expensive model.
LeanRouter identifies lower-complexity requests and routes them to efficient models that can handle the job at a fraction of the cost.
When the task requires deeper reasoning, long-context understanding, complex synthesis, or premium accuracy, LeanRouter escalates automatically.
Use the right model. Every time.
Classify each request by task type, complexity, risk, and required capability. Then route it to the best-value model available within your approved provider stack.
Reserve premium closed-source frontier models for the work that actually needs them: complex reasoning, high-stakes outputs, nuanced drafting, and advanced analysis.
Set routing rules by workspace, team, workflow, data sensitivity, provider, region, latency target, or model family.
Use your own keys and existing enterprise relationships with providers like Azure, AWS Bedrock, OpenAI, Anthropic, Together, and other approved platforms.
Track usage, cost, savings, routing decisions, escalation rates, and model performance across your AI stack.
As model prices, latency, and capabilities change, LeanRouter helps your routing strategy adapt without requiring every application team to rewrite integrations.
AI infrastructure consumes electricity, and the environmental impact of AI depends on the amount of compute used, the efficiency of the systems running it, and the carbon intensity of the energy powering those systems.
LeanRouter is built around a simple idea:
The most sustainable AI request is the one that does not use more model than it needs.
By routing routine work to efficient models and reserving larger frontier models for the tasks that truly need them, LeanRouter helps teams reduce unnecessary compute demand.
And to address the impact we cannot eliminate, we support climate projects designed to reduce the carbon impact associated with our model usage.
Smarter routing is better for your budget and better for the planet.
Bring your approved model providers, keys, and security rules. LeanRouter works as a control layer across your AI stack.
Set the rules that matter: cost ceilings, latency targets, provider restrictions, data handling, fallback, and escalation thresholds.
LeanRouter analyzes each request and sends it to the most efficient model that meets the task requirements.
When a request requires frontier-level capability, LeanRouter automatically routes it to a stronger model.
See cost, savings, routing decisions, latency, model usage, and carbon-conscious optimization across teams and workflows.
Reduce the cost of agentic coding workflows by routing simple edits, explanations, refactors, test generation, and documentation tasks to efficient models while reserving frontier models for complex architecture, debugging, and multi-step reasoning.
Reduce spend on everyday employee requests without sacrificing quality on complex work.
Route simple questions to efficient models and escalate sensitive or nuanced cases to stronger models.
Use cheaper models for extraction, classification, and formatting. Escalate for legal analysis, synthesis, or high-value drafting.
Control AI spend across code assistants, test generation, documentation, and engineering automation.
Match retrieval-augmented tasks to the right model based on context length, complexity, and answer risk.
Ship AI features without locking every workflow into one expensive model.
LeanRouter gives AI, engineering, procurement, and finance teams a shared layer for controlling how models are used across the company.
One routing API instead of constant model-by-model rewrites.
Visibility into where AI spend is going and where it can be reduced.
Provider and data-handling policies enforced before requests are routed.
Better model selection without slowing product velocity.
LeanRouter helps you answer the questions enterprise AI buyers can never quite get straight answers to.
Enterprise AI should be powerful, flexible, and financially controlled. LeanRouter helps your teams use the best model when it matters and the most efficient model when it does not.