Servamind has raised $1.2M in pre-seed funding to tackle one of the less glamorous bottlenecks in AI development: messy data. The company says its preparation step works with any model, letting teams build solutions faster and cheaper.
That pitch is aimed at a wide swath of users, from solo developers to foundation model labs - anyone who has felt the pain of getting data ready before the actual building can begin. The pre-seed round gives Servamind capital to push that idea forward, though the company hasn't disclosed its backers.

















