Find the right document in seconds, not minutes
You’re preparing for a board meeting and need a specific written resolution. Or an auditor asks for a constitutional document for a subsidiary you incorporated three years ago. You know it’s in the system somewhere, but the file name doesn’t match what you’re searching for.
Standard document search in most entity management software relies on metadata: file names, titles, descriptions. If the resolution is filed under a generic name or a reference number you can’t recall, you’re left scrolling through years of folders hoping to spot it.
KAIA, Kuberno’s AI layer, changes that.
What’s new
KAIA’s AI-powered document search looks inside your documents, not just at the label on the outside. Rather than matching keywords against file names, KAIA converts document content into numerical representations that capture meaning, so it understands the intent behind your query even when your search terms don’t appear in the title or description.
In the video below, our Head of Product Stu demonstrates the difference. He searches for a written resolution for a director named Marie Taylor. Standard search returns nothing. The same query through KAIA instantly returns the correct document. From there, he can:
- Preview the document without leaving the search panel
- Navigate directly to the document’s folder
- Generate an AI summary with a right-click, seeing what the document covers without opening it
Why this matters for your team
It’s a small interaction that removes a real friction point. Less time searching means fewer interruptions to the task you’re actually working on, whether that’s responding to a compliance filing deadline, pulling together due diligence materials for an M&A transaction, or preparing a governance report for the board.
Built on structured entity data
AI-powered search is only as good as the data it sits on. Most corporate secretary tools bolt AI onto loosely organised file stores, which means results are often noisy and imprecise.
Kube is different. It’s built around an entity-centric data architecture where every document, officer record, compliance task, and filing is linked to its parent entity and structured from the ground up. When KAIA searches your documents, it does so within that structured context, which is why it can return precise results rather than a best guess.
This isn’t a retrofit. Kuberno’s roadmap was built around this architecture from day one because we set out to be AI-native and purpose-built for entity management. Clean, structured data is what makes AI features like document search genuinely useful rather than a novelty.
To learn more about how this foundation works, read our blog on why data architecture matters in entity management software and explore KAIA’s full capabilities.
AI-powered document search is available now as part of KAIA.
If you have questions or want to see this in action with your own data, reach out to the team and we’ll walk you through it.
