Securing Fundamentals in the Age of AI
Most AI security discourse fixates on model-level threats. Platform-level threats are a different problem entirely.
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.
In January, we shipped features to help you find answers faster, build better analyses, and collaborate more seamlessly.
In December, we shipped more of your most requested upgrades, making the platform faster, more powerful, and easier to use.
From CIM screening to IC memo prep, here’s how leading private equity firms use Hebbia to move faster and diligence deeper across the full deal cycle.
With powerful new charts, expanded data integrations, and a more intuitive user experience, Hebbia now delivers deeper visual insights—faster than ever.
Leading hedge fund teams use Hebbia to scale output, accelerate insight generation, and reduce the risk of missing critical signals.
This month, we automated more essential tasks for Excel and PowerPoint, added European filings, and made our platform even more intuitive to use.