SignalPilot for ML Engineers
Debug ML Pipelines Faster
SignalPilot connects to your feature stores, experiment trackers, and model registries to investigate performance regressions, data drift, and training failures.
Real Problems, Real Solutions
“Model performance degraded in production”
The Problem
Manually checking feature distributions, training/serving skew, and data drift across hundreds of features
With SignalPilot
Ask SignalPilot: 'Why did model accuracy drop 5% last week?' It analyzes feature drift, checks training data, and identifies the problematic features.
“Training run failed after 6 hours”
The Problem
Digging through logs, checking data pipelines, and validating input schemas to find the failure point
With SignalPilot
SignalPilot traces the failure, checks upstream data quality, and identifies whether it was a data issue, infra issue, or code bug.
“Feature importance changed unexpectedly”
The Problem
Comparing model versions, checking feature engineering code, and validating data transformations
With SignalPilot
Natural language: 'Compare feature importance between model v2.3 and v2.4.' SignalPilot pulls experiment metadata and generates the analysis.
Built for How You Work
SignalPilot integrates deeply with your existing tools and workflows.
Context-Aware ML Debugging
Connect your MLflow, Weights & Biases, or SageMaker. SignalPilot understands your experiment structure, model versions, and can compare runs automatically.
Privacy Mode for Sensitive Data
Working with PII or sensitive training data? Privacy mode ensures all analysis happens locally. Your data never leaves your machine.
Agentic Troubleshooting
SignalPilot formulates hypotheses about why your model is failing, tests each one systematically, and presents findings with evidence from your actual data.
Governance Hooks
Enforce that all production queries include data quality checks. Block queries on sensitive tables outside business hours. Full audit trail of all data access.
Common Use Cases
Model performance debugging
Feature drift detection
Training data validation
Experiment comparison
Production monitoring
A/B test analysis
Works With Your Stack
SignalPilot integrates with the tools you already use.
“I used to spend hours debugging why a model degraded. SignalPilot identified feature drift in a specific data source within minutes.”— Senior ML Engineer, AI Startup
Ready to Investigate Faster?
Start your free trial today. No credit card required.