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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.
Why I joined Hebbia as a Product Manager
After speaking with nearly 100 companies navigating the AI wave, Divya joined Hebbia because it was the rare team that had already moved beyond the hype and built something that actually works.
Why I joined Hebbia as an AI Strategist
Charlie came to Hebbia as a skeptical buyside investor, became a power user, and eventually realized the only move was to join the team building the tool he couldn't stop using.
Prompt Engineering is the New Pivot Table
Just as Excel fluency once separated good analysts from great ones, knowing how to prompt AI is becoming the baseline skill for knowledge workers.
Semantic Search Fails More Often Than it Succeeds
After studying real search patterns across hundreds of users, Hebbia found that in five out of six cases, semantic search alone falls short of what knowledge workers actually need.