Blog

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

Processing more than 250 billion tokens each month reveals that the biggest AI efficiency gains come from optimizing workflows, not simply reducing token counts.

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

Avi brings over a decade of investment banking experience to Hebbia, with firsthand insight into how bankers work at every level.

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.

Fine-tuning an open-source model to match frontier quality is the easy part but serving it cost-effectively is the real challenge.