HipAI creates context graphs from structured and unstructured data in minutes without copying it or ETL, creating a complete understanding of your business.
Agents using HipAI are over 50% better at answering tough, real-world questions because they reliably find the right data to answer them.
HipAI context graphs create a shared understanding of the world between any agents you use.
HipAI agents improve the context graph with new knowledge and maintain it automatically.
HipAI creates a unified context layer across relational databases, documents, and chat to give a complete view of a business.
HipAI makes AI 30–70% better at answering hard questions in minutes by automatically generating context graphs, vastly outperforming GPT-5 and Snowflake's Cortex Analyst.
HipAI extracts structured knowledge from hundreds of news articles and achieves state-of-the-art performance on a multihop reasoning benchmark.
Deep dives, product updates, and perspectives from the HipAI team.
Most knowledge graph approaches require months of upfront work before delivering value. We explore what becomes possible when that bottleneck is removed entirely.
We've built extraordinary tools for scale. But enterprise AI is failing because of complexity — heterogeneous data, evolving relationships, and rigid schemas that can't keep up.
