Blog

Hebbia crossed 1 billion pages processed, up from 47 million just one year ago, and George explains why scale isn’t just a milestone. It’s what turns AI into a genuine edge in financial markets.

Hebbia helps private credit firms automate the heavy lift of screening, benchmarking, and precedent analysis so teams can focus on judgment, analysis, and negotiation.

We built a statistically rigorous, consensus-based framework for evaluating LLM outputs and used it to benchmark today’s leading models on the tasks that matter most to finance professionals.

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.

We built a multi-agent system that goes beyond public web search to synthesize insights for any data source, including proprietary data sources.

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

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.

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.

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