AI agents that work inside your pipeline.
Most AI in spreadsheets is trapped in the spreadsheet — it can write a formula in the cell you're looking at, and that's the end of it. Arkx's agents aren't confined to the sheet. They work across the same pipeline your team does: they can pull data in, clean it, and help you analyze it.
What it does
Ask an agent to bring in last month's invoices, tidy up a messy table, or build out an analysis, and it works through the real steps in your datahub and not a one-off answer in a single cell. It pulls from your tables, cleans them, and helps shape the analysis, leaving the same traceable trail every other step in Arkx leaves. (Publishing data outward stays a human decision and agents don't open your data to the outside world.)
What makes them actually useful on a team is memory. An agent keeps the context of your files and your workflows, so it understands how your tables fit together and how your team works. It's not starting from scratch every time you ask. And because it's built for a shared environment, that context is the team's, not one person's. When a colleague picks up where you left off, the agent already knows the ground.
Where they run
Your data and the agents that work on it stay on servers in the EU. The context an agent builds up, about your files, your tables, your workflows, stays inside your account, not scattered across servers outside EU.