Production grade AI testing
Test AI application data at scale to define, understand, and improve your definition of AI behavior
Be confident in AI app usage and behavior
Align AI app behavior with your business goals using Distributional’s automated adaptive testing workflow
Configure
Analytics on context-rich data
Get a clear view of your AI app across every component, using the data you already have — including runtime logs, custom metrics, and golden datasets. You can always add additional context and data for more complete coverage.
Batch processing at scale
Orchestrate regular consistency tests for your entire app and AI components to detect changes over time.
Works with your workflow
Process data from any object store and integrate into any orchestration/CI system.
Define
behavioral fingerprint
Get a behavioral fingerprint derived from statistical distributions of historical data to create a robust definition for each app attribute.
Automated and customizable testing
Automatically generate tests for behavior changes and define custom tests as needed, ensuring comprehensive coverage to catch shifts, drifts, or anomalies.
Detect
similarity index
Quickly identify whether app behavior is consistent or changing over time with a single, aggregated metric at each level of your application.
alerting & notifications
Get alerted using your preferred tools when the Similarity Index drops or when critical tests fail, enabling you to respond quickly.
Understand
key insights
Investigate down to specific metrics and individual results to easily understand the cause of behavior changes with intuitive summaries.
root cause analysis
Pinpoint the root cause of changes, understand their impact, and resolve issues before they affect users.
reporting
Share summaries on AI app behavior at every level of granularity to drive collaboration and build trust with stakeholders in your organization.
Improve
recalibration
Maintain a continuous, accurate representation of desired app behavior. Seamlessly add new tests or recalibrate thresholds as you go.
continuous development
Easily verify that new app versions pass tests for acceptable behavior, minimizing production impact when refactoring or debugging.
Designed for the enterprise
Flexible deployment
Self-host in your VPC of choice, use our multi-tenant SaaS, or establish a single-tenant VPC environment
Extensibility
Python SDK makes it flexible to integrate with other preferred tools or existing processes, including data stores, orchestrators, CI/CD systems, alerting tools, and AI platforms to augment your stack as it exists today and in the future.
Scalable analysis
Efficiently process data at any scale, so you get the most comprehensive insights for all AI apps across your company.
Managed permissions
Efficiently process data at any scale, so you get the most comprehensive insights for all AI apps across your company.
Trusted platform
Platform is architected to be secure-by-design and meet the needs of even the most privacy conscious global enterprises.
Partnered for success
Accelerate time-to-value with a dedicated customer support engineer who manages the full lifecycle of your needs, including installation, implementation, ongoing usage, upgrades, bug fixes, and long-term technology support.
Elevate your AI testing
Join the leading enterprises transforming their AI apps with Distributional's adaptive testing platform.