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How Equity Research Teams Use Hebbia
From ramping coverage to building a searchable knowledge bank, here's how leading equity research teams use Hebbia to move faster without sacrificing depth.
How Leveraged Finance Teams Use Hebbia
From credit agreement analysis to pitch deck development, here's how LevFin teams use Hebbia to cut the manual work out of diligence and move deals faster.
Hebbia Acquires FlashDocs to Bring Generative Slide Creation to Finance
Hebbia acquired FlashDocs, the leader in generative slide creation, so customers can turn AI-powered research and analysis directly into fully branded PowerPoint decks in seconds.
The Multi-Agent Redesign Behind Matrix
At the end of last year, we returned to the drawing board and redesigned Matrix Agent.
The Next Organizational Revolution: Agent Employees
The internet decoupled labor from geography. Now AI is decoupling labor from humans, and George explains what that means for how organizations are built.
The Distributed System Behind Hebbia's High-Scale AI
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.
Goodbye, RAG: How Hebbia solved Information Retrieval for LLMs
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.
Matrix and OpenAI o1: Smarter AI Agents
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 Raises Series B Led by Andreessen Horowitz
Hebbia raised a $130M Series B led by a16z to build the product layer for AI, the human-centric interface that makes the technology actually useful for the world's leading financial institutions and law firms.
Introducing Matrix: The Interface to AGI
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.
Why I joined Hebbia as an Account Executive
After years watching AI fall short for lawyers and consultants, Adi joined Hebbia because it was the first platform he'd seen that actually delivered on the promise of putting knowledge workers' time back toward real work.
Artificial General Intelligence is a Product Problem
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.