Blog

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

Hebbia now integrates with Intercontinental Exchange, bringing institutional-grade pricing data directly into its AI platform.

Hebbia now integrates with Intralinks, bringing secure, governed deal content directly into its AI 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.

How Hebbia measures agent quality at scale with a hybrid evaluation methodology.

Hebbia researchers leveraged classic signal processing techniques to build a text detection model smaller than most of the images it classifies.

Seyfarth Shaw expands its partnership with Hebbia to deploy Matrix across its transaction practices to accelerate diligence.