Automated Testing and Quality Control for ML Models
aidkit is a ML Quality Ops platform built for ML Engineers to apply large scale quality assessment techniques to evaluate and debug model vulnerabilities. Easily build your own testing pipelines by versioning your data, model and quality evaluations in one place.

Automated Testing and Quality Control for ML Models
aidkit is a ML Quality Ops platform built for ML Engineers to apply large scale quality assessment techniques to evaluate and debug model vulnerabilities. Easily build your own testing pipelines by versioning your data, model and quality evaluations in one place.
Safety & Security Risks
AI Systems Require Systematic Assessments of Vulnerabilities
Model is detecting or classifying correctly
Model is failing to detect or classifying incorrectly
Training Data vs. Real World
Unexpected field conditions can bring a model to malfunction. Testing models in challenging scenarios before they occur in production prevents severe consequences.


Advanced Feature-set
aidkit ’til You Make It
Provide Evidence for Safety Claims
aidkit provides evidence for a systematic safety argumentation through standardized and comprehensive reporting of analytical results.
Stress-Test Models against Security Threats
aidkit tests models against the most critical perturbations for a wide range of adversarial threat scenarios.
Augment Training Data
aidkit generates targeted training data to protect models against malicious adversaries and unforeseen scenarios.
Look Inside the Black Box
aidkit reveals model decision rules that are hidden behind countless parameters through human-friendly visual explanations.
Automate AI Security and Safety
aidkit keeps track of safety and security-critical metrics with changing data and evolving models in highly automated environments.
Your aidkit Benefits
aidkit Pushes the Safety and Security Standards of Your AI Systems
Your Robustness and XAI Expert
Benefit from deep expertise in AI Robustness and Explainability with automated testing and quality control. We help you to keep focus on the core of your business.
Up To Date with Hazards and Threats
Stay on top of regulatory constraints, critical threats, and hazards for your use case. We continuously add state-of-the-art attacks, perturbations and explanations to keep your models secure.
Evidence for Security and Safety
Structure systematic safety and security arguments that comply with internal and regulatory requirements, and provide evidence for safety claims.
Highly Automated and Scalable
Automate and scale security and safety across models and datasets. We help you keep track of the relevant metrics to take the right deployment decisions.
One Platform for AI Quality
Input- and framework-agnostic tooling facilitates you to test all your use-cases in a single platform that you only have to integrate once.