value=humanAI

Build data products end to end, in one pane of glass: governed, audit-ready, on Databricks, Entra ID and Jira. Try it →

Draw an agent loop on a hand-drawn canvas. Get a Claude Skill out the other end. Try it →

Turn the things you follow into researched audio stories, produced on their own.

The traits that built your AI venture won't scale it.

LLMs as smart pivot tables: entities and their predefined relations, pulled out of unstructured text.

Generating cohesive text has become trivial. A look at what the corpus held before that was true.

Explore a dataset, build an XGBoost model, put MLOps into action. With Heiko Kromer and Vlad Crisan.

Introducing John to Dr. Watson: matching names without labels or hand-tuned cutoffs.

A company is what it knows. AI native means its agents know it too, and learn with every case.

Text is the new code and skills are the new programs. Code got an IDE to read it. Skills are still edited in a plain text editor.

The contracts, lineage and field descriptions already exist. What's missing is one place an agent can read them all at once.

Cheap integration makes the core more valuable. Above it, software that fits the business and grows with it.