Latest KnowledgeLake Features Include Smarter Indexing, Better Task Management, and More AI Transparency

KnowledgeLake is adding key enhancements that make document automation faster, clearer, and easier to manage. From a redesigned table control and focused task inbox to improved AI visibility and smarter training tools, this release delivers practical updates that streamline everyday work.

These enhancements focus on four critical areas: indexing efficiency, task prioritization, AI transparency, and smarter training tools. The result? A smoother, more scalable document automation experience, whether you're handling high-volume workloads or optimizing AI accuracy at scale. With upgrades to indexing, task prioritization, AI transparency, and training tools, these updates streamline everyday work and help teams scale with confidence.

Here’s what’s new:

🔍 Smarter Indexing with Enhanced Table Controls

Indexing documents with tabular data can be time-consuming and prone to errors, especially when using less intuitive interfaces. Our new table interface changes that. With a cleaner layout, smarter auto-population, and responsive in-line editing, users can quickly tag, review, and validate rows of structured data—reducing keystrokes and eliminating rework. Whether you’re processing invoices, forms, or multi-page reports, the new control simplifies every step.

📥 A Focused Inbox Built for Action

Productivity thrives on clarity. The new Focused Inbox gives users control over how tasks appear, allowing them to filter, sort, and prioritize the work that matters most. More than just being a better view, it's a more intelligent workflow experience. From high-priority exceptions to daily batch reviews, teams can surface what’s urgent without wading through what’s not. And for managers, this means faster turnarounds and better SLA adherence.

🔍 More Transparent and Trustworthy AI

One of the biggest hurdles to AI adoption is trust. That’s why we’ve made AI results more explainable without slowing users down. Confidence scores are now clearly displayed alongside extracted values, giving reviewers an instant read on AI certainty. In-line highlighting shows exactly where the data came from, enabling quick cross-checks and smarter human validation. This not only accelerates decisions, but it also increases confidence in the process itself.

🧠 Faster AI Training with Expected Metadata

Training AI to classify documents and extract metadata doesn’t have to be complicated. A new enhancement allows administrators and developers to specify expected metadata for training samples—creating more accurate, context-aware models without complex rules or manual post-processing. This reduces false positives and accelerates time-to-value for automation teams looking to scale their efforts without sacrificing accuracy.

Whether you're managing a flood of daily documents or launching a new automation use case, these enhancements help your teams get more done, with greater clarity, precision, and control. It’s not just about doing the work—it’s about doing it smarter from the start.

Want to see how these capabilities can streamline your document processes? Let’s talk.