Adola
adola.appRose 1 trims noisy context before your model call and keeps the answer intact.
AI Toolsprompt-compressionllmcontext-reductionragai-infrastructuredeveloper-apicost-reduction
About
Adola runs Rose 1, a fast prompt compression model designed for production LLM systems. It reduces context size by up to 70% before model calls while maintaining accuracy across reasoning, science, and math benchmarks. Teams can use it for agent traces, RAG retrieval, prompt gateways, and support copilots without changing their model provider.
Problem
LLM prompts accumulate noisy, over-retrieved context that inflates costs without improving answer quality.
For
AI/ML engineers and teams building production LLM systems
How it works
Rose 1 compresses input context to a target ratio before the model call via a simple API, returning compressed text and a receipt with compression metadata.
Business model
freemium
Status
launched