Quality assurance for machine learning, simplified.
Focus on what counts – delivering value
Snitch removes the noise to surface only the most useful information to improve your models.
ML Observability & Model Monitoring
Improve quality
Track your model’s performance beyond just accuracy with powerful dashboards and analysis.
Troubleshoot quickly
Identify problems in your data pipeline and distribution shifts before they affect your predictions.
Monitor continuously
Stay in production once you’ve deployed and gain visibility on your models & data throughout its cycle.
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Secure, integrated, and super simple
Keep your data secure: cloud, on-prem, private cloud, hybrid…you decide how to install Snitch.
Work within the tools you love: integrate Snitch into your MLops pipeline!
Get up and running quickly: we keep installation, learning and running the product easy as pie.
Validation beyond accuracy
Accuracy can often be misleading. Look into robustness and feature importance to evaluate your models before deploying.
Gain actionable insights to improve your models
Compare against historical metrics and your models’ baseline.
Risk mitigation and performance monitoring
Automate your data sanity check
Proactively get notified when something is wrong
Monitor continuously to avoid any surprise issues
Digestible dashboard and analysis
Keep it simple with one dashboard to streamline information across teams
Generate detailed results in JSON format
Download easy-to-understand PDF reports to share with your stakeholders
Compatible with major platforms, frameworks and cloud providers
Snitch’s promise to our users
Security
Run your tests locally without your data leaving your premises. Turn on hybrid mode or use the cloud version to easily share results, collaborate, and follow your dashboards.