SignalPilot is #1 on both public data-agent benchmarksSee the results →

SignalPilot for ML Engineers

Agent workflows that survive change.

Evaluate agent-stack updates, govern access to feature and training data, and preserve the operational knowledge behind reliable ML investigations.

How Your Team Uses It

Keep your workflow. Add production discipline.

01

Gate agent-stack changes

Run continuous evals before new models, prompts, tools, or skills reach production workflows.

02

Govern data access

Route warehouse exploration through one MCP gateway with access controls and a query log.

03

Capture operational knowledge

Turn drift findings, data quirks, and investigation decisions into rules that future runs obey.

The Blocks

Start with the block you’re missing.

Continuous auto evalsDeterministic workflowsKnowledge baseGoverned MCP gateway
Works with your stack
DatabricksSnowflakePostgresDuckDBGitHubClaude Code

Get Started

Keep your agent. Add the blocks.