GreenRoute

Today, 60–70% of LLM queries globally are unnecessary. People use massive models even for simple tasks like “2÷2?” or “define GDP,” wasting compute, money, and carbon.

GreenRoute AI fixes this.

We built an intelligent, explainable task-routing engine that automatically decides the lowest-cost, lowest-carbon way to answer any user query — without reducing quality.

Our system classifies the user’s question into complexity levels and intelligently routes it to: • Google Search for simple factual lookups • Small AI models for lightweight reasoning • Medium models for multi-step tasks • Large LLMs only when absolutely necessary

All decisions are transparent, with a real-time explanation of: • Why the route was chosen • How much computation was saved • How much carbon was reduced • What the model reasoning steps were

We also add full traceability, meaning every query has a unique audit trail showing emissions saved, model usage, and reasoning paths — making AI use responsible, efficient, and auditable. Impact

GreenRoute AI cuts compute waste, reduces AI emissions, lowers costs, and empowers users to make responsible digital choices — all while delivering fast, accurate outputs.