Responsible AI Platform
Manage, Deploy, and Update
Easily deploy and update AI models
- Deploy and update your AI models through simple steps
- Collaborate using Deeploy’s UI, API, and Python SDK
- Use API endpoints to integrate Deeploy into your application
Explainable AI
Explain model decisions to everyone
- Support deployments with local and global explainers
- Add custom explainers tailored to your end-users
- Traceback explanations of historical predictions
Feedback loop
Improve model performance with human feedback
- Facilitate interactions between AI and humans
- Enable domain experts to evaluate predictions
- Receive real-time feedback on models and predictions
Read how DDFinance uses feedback loops to improve their AI models
Integrations
Seamlessly integrates into your current workflow
- Run Deeploy on your current cloud platform (AWS, GCP, Microsoft Azure)
- Incorporate into existing code workflows (GitLab, CircleCI)
- Receive notifications through Slack, mail and other channels
Audit trails
Reproduce and traceback decisions & explanations
- Support for processes to comply with AI regulation
- Trace and reproduce every change, prediction, explanation, and deployment
- Ensure clear ownership of Deployments and Workspaces
Read how Coeo uses audit trails within their claim handling process
Monitoring and alerting
Effectivily monitor models, predictions and interactions
- Constantly monitor model drift, bias detection, and performance
- Define custom alerts for the metrics that matter to you
- Easily discover the root cause of model degradation
