Product

The 7 parallels between agent and human workforces reveal how firms will win or waste the next trillion dollars of AI value.

Hebbia’s connector library keeps growing. See every data source you’re connected to, all from a single view.

Last month, Hebbia got sharper where it matters most: deeper in your workflows, deeper in your data, and deeper in the tools you already use.

This month, we shipped new data partnerships, Matrix capabilities, and workflow improvements across Chat, Projects, and the platform.

This month, Hebbia expanded what’s possible with Chat, Matrix, and more.

Skills turn institutional knowledge in banking, law, public markets, and private markets into scalable instructions across your firm.

Most AI security discourse fixates on model-level threats. Platform-level threats are a different problem entirely.

AI boosts individual productivity, but without a shared system to organize that work, the gains don’t fully translate to the organization.

This month’s Disclosure covers expanded Projects, new finance-specific Skills and Agents, Matrix workflow upgrades, and improvements to presentation quality, parsing, and model performance.

AI made every individual 10x more productive, but no company became 10x more valuable. George Sivulka explains why that’s the most important problem in AI right now.

In February, we shipped features to help you build on shared context and get to insight faster.

The moat of vertical software comes from deeply understanding and encoding the specific workflows preferences and institutional knowledge of teams and firms which general-purpose AI designed for everyone cannot replicate.