Same model, with and without SignalPilot.
Both runs: Claude Code with Sonnet 4.6. #1 on the leaderboard · every transcript public →
SignalPilot curates business data context and evals as code, built from your data models, BI tools, and agent traces. It improves with every interaction, so your teams and our multiplayer agents can take confident actions.
No churn definition yet, so I drafted one for your data team.
Built by people who live in the data stack
Your agent gives unpredictable, often wrong answers querying your warehouse because it doesn't understand your business's context and ontology.
Context is scattered. Across dbt, BI tools, agent traces, and people's heads.
Context layers go stale. Faster than you can edit them manually.
Data teams become the bottleneck. Every quick question waits in their queue.
Teams don't trust the numbers. Slowing agent adoption.
"Before SignalPilot, I told my team that if the number is not from one of the trusted dashboards we maintain, don't assume the number from your agent is right."
Manually writing definitions, semantic layer, and skill files doesn't scale. We draft your context, metrics, and evals as code from dbt, BI tools, and agent traces, and keep them accurate as your business changes.

Every push to GitHub gets its blast radius mapped and its evals run, so you sleep better at night while your team and their agents ship new context.
feat: refund reason on int_orders_with_refunds #212
signalpilotproposed · feat/refund-reason → main
Everyone on your team gets answers with the evidence attached, and each question runs on the cheapest model that gets it right.

Keep the harness you like. Reach SignalPilot from Claude Cowork, Codex, and more through our MCP app. Your data team sets it up once; every task runs in a cloud sandbox.

"You guys nailed it! This helps the execs go from a static dashboard to answering the 'so what' question in minutes, without adding to the backlog of our analytics engineers."
Same model, with and without SignalPilot.
Both runs: Claude Code with Sonnet 4.6. #1 on the leaderboard · every transcript public →
The hardest public data-engineering benchmark.
*75% submitted in August; official leaderboard shows 65.6% (May).
Who it is for
FAQ
Short answers. The long ones are a demo away.
No. The sandboxed cloud agent is only a part of the whole offering. SignalPilot is primarily a development lifecycle management platform for your data context and agents: a Context Factory that keeps your context, metrics, and evals correct, plus a cloud sandbox for the agents that use them. Once set up, you can use these sandboxed agents from Claude Cowork, Codex, or Slack.
Claude Code makes one person faster. Data work at a company is mostly alignment of controlled business vocabulary and procedures. SignalPilot is multiplayer. Teams settle definitions in chat, your data team merges them, and every person and agent answers from the same agreed context.
No. Manually writing definitions, semantic layer, and skill files doesn't scale, so we ingest your dbt models, BI tools, dashboards, and agent traces and draft the context for you. Your team curates the draft, and we help you keep it accurate as your business changes.
Snowflake, Databricks, BigQuery, Postgres, DuckDB, Redshift, and more.
Queries run in a SignalPilot cloud sandbox against your warehouse, on your warehouse's own permissions. Definitions live in dbt, Apache Ossie, and Markdown in your repo. Self-host with Docker Compose if you prefer.
From $100 a month for a five-seat team, then $0.50 per successful thread and $0.01 per governed query. See pricing →
We will trace one workflow your leadership already reviews and show you the result with its evidence, on your data.
Open source · Apache 2.0 · GitHub · Slack