Next-Gen Agentic RAG

At Work

Maximum accuracy, minimum latency.

Built for Enterprise.

  • Key insights from sales report

  • Lead vs qualified opportunity

  • Compare product with competitors

  • Resolve issue with the software

  • Onboard new user to product

  • Impact of recent sales promotion

  • Which customer issues to prioritize

  • Steps to resolve support tickets

  • Best practices for BI dashboard

  • How to optimize sales pipeline

  • Provide pricing details for enterprise

  • Explain the integration capabilities

  • List key benefits for business clients

  • Outline the onboarding process

  • Summarize customer support SLAs

Trusted by Leading Businesses

Jabra LogoAd LogoSiemens LogoWd LogoCyvision LogoJabra LogoAd LogoSiemens LogoWd LogoCyvision Logo

Unmatched Speed

HyperRAG is engineered with a latency-optimized pipeline, ensuring rapid response times for seamless enterprise-grade RAG integration.

AI Model Latency Comparison (100 Requests)Latency (seconds per request, log scale)HyperChatFastHyperChatPremiumOpenAIGPT-4o-miniOpenAIGPT-4oCohereCommand-R+1482040100

Industry-Leading Accuracy

Based on an accuracy benchmark conducted by our client, HyperRAG delivers precise results with a task-optimized architecture, ensuring reliable, enterprise-grade RAG performance.

AI Model Performance ComparisonPerformance (%)78%82%92%OpenAI GPT4HyperRAG FastHyperRAG Premium0%25%50%75%100%

Agentic Power for Enterprise RAG

HyperRAG leverages an agentic, task-tailored pipeline with automated evaluation for seamless enterprise-grade RAG.

Collection image

Automatically scrapes, integrates, and updates data sources on a schedule

Collection image

Unifies all of your data and preprocesses it into AI-native structure.

Collection image

Efficiently retrieves relevant data and generates response at scale.

Collection image

Automatically evaluates RAG on specific namespaces using synthetic data.

About

Logos

Hyperbee started as a team of engineers and ML researchers at Stanford.

Logos

Our homegrown models hit #1 in their size category on Hugging Face.