SignalPilot
SignalPilot is a data context and development lifecycle management platform that helps data teams deploy AI agents safely against production warehouses. It maintains business definitions in dbt and Markdown, runs deterministic evals on every change, and provides a governed cloud sandbox that blocks destructive queries. The platform is ranked 1 on Spider 2.0-DBT and ADE-Bench benchmarks with public transcripts.
- Developer Tools
- Enterprise Software
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Data teams and AI agents frequently produce SQL that runs successfully but returns incorrect results, such as double-counted revenue from invoice line-item joins or misread cumulative totals. These plausible errors surface weeks later in leadership meetings, forcing costly rework and eroding trust in data-driven decisions.
Solution
SignalPilot is a development lifecycle management platform that maintains context, runs evaluations on every change, and provides a governed cloud sandbox where agents execute against real warehouse schemas. The system reasons about data grain rather than column names, applies deterministic checks like row counts and fan-out ratios before anything is called done, and builds an evidence graph linking every answer to its source queries. It integrates with dbt projects and Markdown definitions, supports agents from Claude Cowork, Codex, or Slack, and flags duplication or cumulative-value errors automatically. The platform is ranked #1 on Spider 2.0-DBT and ADE-Bench, with public transcripts of every benchmark run.
Target Audience
Primary customers are data engineering and analytics teams at mid-market and enterprise companies who own revenue-critical data models and need to deploy AI agents safely against production warehouses.
Features
- Maintained context layer that stores data definitions, business logic, and knowledge base in dbt, Apache Ossie, and Markdown within the user's repo
- Automated eval suite with 30 scheduled runs per month, covering row counts, fan-out ratios, cardinality, column completeness, and value spot-checks
- Governed cloud sandbox that runs queries against Snowflake, Databricks, BigQuery, Postgres, DuckDB, and Redshift with optional self-hosting via Docker Compose
- Evidence graph on every answer, tracing results back to source queries and warehouse rows
- Verifier agents that catch plausible-but-wrong SQL patterns, such as invoice line-item duplication and cumulative column misreads
- Integration with Claude Cowork, Codex, and Slack for agent access
- Fail-closed gateway blocking DROP, ALTER, INSERT, DELETE at the wire, with auto-LIMIT and read-only enforcement
- Public benchmark transcripts and task-by-task evaluation results on Spider 2.0-DBT and ADE-Bench