Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Data without context is fragmented — it cannot be used to effectively train AI agents or set up an appropriate workflow for ...

Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

After the Blackbox anonymization, users can query and find deeply intelligent answers in their own excel, word or pdf files using Novara. Users can also generate reports from unstructured documents in ...