Product

Hebbia’s Financial Services Benchmark tests leading LLMs on 600+ workflows spanning investment banking, private equity, credit, and public equities.

This month’s platform improvements cut friction, speed up analysis, and unlock new ways to move deals forward.

As OpenAI’s research partner for financial services agents, we’ve spent weeks challenging GPT-5 on the most complex investing and banking workflows.

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.

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.

From ramping coverage to building a searchable knowledge bank, here’s how leading equity research teams use Hebbia to move faster without sacrificing depth.

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

With OpenAI o1, agents can draft longer outputs, parse denser legal documents, and reason through complex data extraction with greater accuracy than any prior model.

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.

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 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.

Just as Excel fluency once separated good analysts from great ones, knowing how to prompt AI is becoming the baseline skill for knowledge workers.