We build the instruments the question demands.
Most software stops at the search bar. We think the interesting work starts there. Signal is the agent that listens, pulls from anywhere, cites everything, and assembles whatever instrument your question needs — then leaves the instrument behind, so you can use it again.
Why we built this.
The team that needs ML the most is the team that can't get to it. Spreadsheets don't predict. Dashboards don't classify. Generic chatbots can't see private data. Cloud ML platforms were built for the company you'd be in three years, and AutoML products ship a model where what your team actually needs is an interface.
Signal exists for the gap. The agent does the work of a small data team — research, modeling, building, and shipping — and leaves behind a Machine the rest of the team uses without learning anything new. The result is a tool, not a deliverable; something that runs on Tuesday, and every Tuesday after.
Where we are.
Early alpha as of 2026. We're working with a small group of design partners, shipping the agent + machine catalog, and adding integrations as fast as our partners need them. If you're curious whether your data has a question in it, apply for early access — most applications get a response within a week.