Compresr is a Y Combinator-backed AI infrastructure company that provides context compression technology for LLM pipelines and AI agents. Their API enables developers to reduce token costs by up to 200x while maintaining or improving accuracy, making AI applications more efficient and cost-effective.
Up to 200x context compression without quality loss, enabling significant cost savings (76%+) and improved accuracy for LLM pipelines and AI agents through intelligent token-level and chunk-level compression.
AI Visibility Score
Compresr has an AI visibility score of 0/100, rated as invisible. This score reflects how often and how prominently Compresr appears in responses from AI assistants like ChatGPT, Claude, and Gemini.
AI Perception Summary
Compresr currently possesses a 'ghost presence' where AI models can identify the brand in direct queries but fail to recommend it as a solution for high-intent problems like RAG cost reduction or context management. While direct competitors like LLMLingua and LlamaIndex are frequently cited for latency and retrieval optimization, Compresr remains entirely absent from the decision-making pathways of CTOs and ML Engineers.
Strengths
- The brand passes 'vibe check' queries with #1 rankings across ChatGPT, Claude, and Gemini, indicating that models have ingested the brand's core identity but haven't integrated it into problem-solving contexts.
- Maintains a neutral-to-positive sentiment profile in the few instances where the brand name is explicitly prompted.
Visibility Gaps
- Zero visibility across critical performance queries such as 'how to speed up my llm app' and 'how to manage huge context windows,' where competitors like Pinecone and LLMLingua dominate.
- Complete lack of reach with the 'Enterprise AI Architect' and 'Performance-Obsessed ML Engineer' personas, who are currently being steered toward LangChain and Redis.
- Total absence in 'RAG & LLM Cost Management' results, a category that aligns perfectly with Compresr's value proposition.
Competitors in AI Recommendations
- LangChain: 24 mentions
- Pinecone: 20 mentions
- LlamaIndex: 20 mentions
- GPT-4o: 17 mentions
- GPT-4o-mini: 16 mentions
- LLMLingua: 15 mentions
- Hugging Face: 14 mentions
- Redis: 14 mentions
- Milvus: 13 mentions
- Weaviate: 11 mentions
- FAISS: 10 mentions
- Cohere: 10 mentions
- vLLM: 10 mentions
- Llama 2: 9 mentions
- tiktoken: 9 mentions
Categories: Artificial Intelligence & Machine Learning
Tags: YC25-26