About SignalPilot
We make data agents earn trust.
Our Mission
Keep the agent. Fix the process around it.
The difficult part of a data agent is not connecting a model to tools. It is maintaining the senior judgment that checks schemas, measures join grain, catches drift, respects warehouse controls, and explains why an answer is safe to use. We build and maintain those blocks in the open.
The model does not need another motivational paragraph. It needs deterministic steps that force exploration, building, verification, and evidence before an answer ships.
A confident answer is not a trustworthy answer. Verification receipts expose the trail, checks, and confidence behind the result.
Warehouses, models, and business definitions drift. Continuous evals catch that drift, and the knowledge base turns every catch into a durable rule.
Teams should be able to inspect the workflow, run the eval against their own harness, self-host the control plane, and keep the agent clients they already use.
Our Background
Built by people who live in the data stack.
Our team brings experience from data engineering, analytics, machine learning, and the systems that production teams use every day. That background shapes a product obsessed with verification, useful evidence, and operational reliability.