SignalPilot is now #1 on Spider 2.0-DBT with 51.56.

About SignalPilot

Team & Mission.

We're building the Autonomous Data Stack — a compounding, self-healing, self-improving intelligence layer that sits on top of your data infrastructure. Today we ship governed agents for dbt-native teams. Tomorrow, ambient analysts that watch your metrics while you sleep.

01The problem

Today's AI agents treat your warehouse like a glorified text box.

They rely on stale context and guessed schemas. They silently fan-out revenue numbers, hallucinate columns that were renamed yesterday, and occasionally try to DROP production tables. We've accepted a world where “Please don't drop tables” in a system prompt is considered a rigorous security control. Copilot mode is a stepping stone — not the destination.
02Our wedge

We solved the hardest problem first: governed agents for dbt.

You can't deploy autonomous agents without mathematically verifiable guardrails, so we built the Governance Gateway — a 7-layer fail-closed architecture that enforces read-only execution, LIMIT injection, PII redaction, and audit logging — and paired it with a 7-Check Verification Protocol. A dedicated Verifier subagent audits every build (schema, row counts, fan-outs, cardinalities) before a single PR opens.
03The proof

#1 on Spider 2.0-DBT at 51.56 — the first ever to cross 50%.

We tested the architecture against the industry's hardest open benchmark for AI agents navigating real-world dbt repositories. We beat the next closest competitor by over 7 points and proved that when you govern agents with physics instead of prompts, they can safely navigate the most complex enterprise pipelines in the world.
04Why now

The stack is consolidating. Enterprises are rejecting lock-in.

80,000 data teams rely on dbt. As the Fivetran-dbt merger triggers massive market consolidation and Databricks and Snowflake race to bundle the ecosystem, enterprises are actively rejecting single-vendor dependency. While the industry is distracted by 12–18 month M&A integration cycles, we're shipping the alternative: a vendor-neutral, open-source investigation and operations layer.
05The vision

Compounding. Self-healing. Autonomous.

Self-healing pipelines. When a schema migration lands on GitHub, SignalPilot detects the delta, traces the downstream impact across every dbt model, and opens a patch PR before the pipeline breaks.Compounding intelligence. Every governed run, passing test, and manual fix feeds back into the system's skills. The agent gets better every week on your codebase — your business logic, your semantic quirks, your data grain.Ambient agents. Running continuously in isolated gVisor microVMs, ambient analysts monitor your core metrics, spin up notebooks to investigate anomalies, and drop verified, board-ready insight reports into Slack.

Join us moving from building data infrastructure to operating it autonomously.

The future of data is open, governed, and intelligent.