Two founders,
one global problem.
Enterprise information is scattered across hundreds of tools. We got tired of watching good teams lose their week to the distance between them.
Connect information to information so teams can focus on scaling the business instead of babysitting it, and go further by surfacing which workflows aren’t working, so they can be automated.
Today, this looks like a nice-to-have. The bet is that it becomes a must-have to scale a business at all, not just for answers, but as the interface for building automations: speak your intent, the system builds it. No need to know which apps to connect or code to write.
Enterprise data is scattered across hundreds of tools. Employees waste time hunting for answers, files and conversations, or asking the right person. Generic models can’t help: they don’t know the company’s internal data, and asking one anyway risks a fluent, confident, wrong answer. Manual processes stay slow because automating them means finding an engineer first.
Spider grounds every answer in the client’s real data, respects each user’s permissions, and cites its sources. It anticipates: it understands the data well enough to give a heads-up before something goes wrong, reading between the lines of what the company is actually saying. And beyond questions, the same request becomes an automation. Described once, it runs itself. No engineering ticket.
Hover a value to see what we mean by it.
