Howart is a team of specialised AI agents working together to turn fragmented learning, HR, and skills data into decisions L&D can act on. Each agent has a job — cleaning data, mapping it to a common model, analysing patterns, surfacing insights, recommending actions — and together they do work that today takes analysts weeks, in minutes.

Compliance learning as the first example

The dashboard above is built on anonymised sample data and shows what the platform produces in its first use case: compliance learning intelligence. Past-due rates by department and country. Completion patterns by training type. Hours assigned versus hours actually spent. The cost of compliance gaps, expressed in real money. The kind of view L&D and HR leaders rarely get in one place, ready to act on.

Compliance is where we start because the data is there, the stakes are clear, and the gap between “what the LMS reports” and “what the business needs to know” is wide. It’s the wedge — not the ceiling.

What this delivers

• No more endless manual reporting. The agents pull, clean, and reconcile the data. Your team gets the answer, not the spreadsheet.
• No big investment in data scientists. Twenty years of L&D domain expertise is already embedded in the system. You don’t need to hire it.
• No more dashboards that nobody opens. Every view is built around a decision someone actually needs to make — not a metric someone thought looked good.
• No more “we’ll have an answer next quarter.” Questions get answered in the meeting, not after it.

Private beta

A natural-language layer sits on top of this dashboard: ask a question, get an answer grounded in your data and the embedded domain expertise. It’s in private beta.