Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
A US-based software provider enables enterprises to prepare and structure vast amounts of data for large language models and agentic AI workflows.
Data-heavy sectors like law and finance require absolute precision, but standard similarity search often confuses specific details, such as mixing up...
“Organizations often struggle to combine their data in a way that gives LLMs and AI agents the context needed for accurate, reliable results, especially when deploying retrieval augmented generation (RAG) models.”
AI platform for agent memory and context engineering for RAG applications.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.