Blog

Hebbia acquired FlashDocs, the leader in generative slide creation, so customers can turn research and analysis into branded PowerPoint decks in seconds.

Hebbia now integrates with PitchBook, bringing private-company data directly into its AI platform.

At the end of last year, we returned to the drawing board and redesigned Matrix Agent.

The internet decoupled labor from geography. Now AI is decoupling labor from humans, and George explains what that means for how organizations are built.

We built a distributed LLM request scheduler that intelligently routes billions of tokens per day across multiple providers so high-priority work always gets through, even under rate limits.

After pioneering semantic search and RAG, we found both fell short on the hardest questions so we scrapped them and built a new information retrieval system from scratch.

With OpenAI o1 now integrated into Matrix, Hebbia’s agents can draft longer outputs, parse denser legal documents, and reason through complex data extraction with greater accuracy than any prior model.

Hebbia, the product layer for AI, today announced a $130 million Series B led by Andreessen Horowitz.

Hebbia built Matrix, an AI platform designed to handle tasks of any complexity, across any amount of data, with full transparency into how it thinks.

After years watching AI fall short for lawyers and consultants, Adi joined Hebbia, the first platform he’d seen actually give knowledge workers their time back.

The models are already powerful enough. The reason AI hasn’t changed how we work is that nobody has built the right product around them yet.

After speaking with nearly 100 companies navigating the AI wave, Divya joined Hebbia, the rare team that had moved beyond the hype.