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The Next Edge in Finance: Reasoning with GPT‑5 & Hebbia
As OpenAI’s research partner for financial services agents, we’ve spent weeks challenging GPT-5 on the most complex investing and banking workflows.
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.
How Investment Banking Teams Use Hebbia
From CIM creation to diligence Q&A, here's how leading investment banking teams use Hebbia to cut manual work out of every stage of the deal cycle and execute with more speed and precision.
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.
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.
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.
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.
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.
The Paradox of Planning
The enterprises spending the most time debating their AI strategy are falling further behind the ones that have already started using it.