Walk into most agri businesses and the numbers you'd want are all present — in the accounts package, the sensor feed, the machinery logs, someone's spreadsheet. They just live in separate systems that were never built to speak to each other. Harva exists to close that gap.
We think agriculture doesn't have a data problem. It has an integration problem.
Growers are told they need to be "data-driven", then sold another dashboard that only sees a slice of the operation. The honest issue is plumbing: the systems don't connect, so nobody can see the whole picture, and the clever tools on top are built on sand.
So we start underneath. Pool the silos into one trusted record, and only then build what runs on it — a report, a tool, or an agent that handles the work on its own. Standard software where that's the right answer, agentic systems where they genuinely earn it. Nothing for the sake of a demo.
Integration before insight, every time. Get one trusted source in place and the rest of the work stops fighting the data.
The right answer is often unglamorous — a clean join, a report that used to take a day. We ship that, prove it, then grow it.
We build agentic systems for real, but only where they save real time. No AI theatre, no automation you have to babysit.
Your data, your systems, your software. We're the integration layer, not a landlord you can never leave.
We're at the start of this, and we'd rather say so than dress it up. Here's who you'd actually be working with.
Computer Science BSc, and a former data analyst at WB Chambers — where he spent his days inside a real agri business, untangling exactly the kind of data mess Harva is built to fix.
Advanced Computing MSc, AI engineer and AI automation researcher at KCL. Builds the intelligent and agentic layer that sits on top of the unified data.
Tell us where the numbers live and what you wish you could see. We'll work out what's worth doing first.