Platform to provide explainability to your AI models

Boost transparency and trust in your artificial intelligence models with a platform designed to deliver clear, interpretable, and actionable explanations.

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Screenshot which show how to explain an image

Comprehensive model analysis

Discover comprehensive features for model understanding

Explore our comprehensive suite of tools designed to help you understand, validate, and improve your AI models. From visual explanations to automated reporting, we provide everything you need to build trustworthy AI systems.

Visual explainability
Interactively visualize how your model makes decisions, with detailed heatmaps and graphs highlighting the most influential areas in each prediction.
Bias analysis
Detect and analyze potential biases in your ML models through comprehensive metrics and visualizations that show model behavior across different demographic groups.
Image interpretation
Understand how your computer vision models process images, identifying relevant regions and decision patterns through advanced attribution techniques.
Automated reports
Generate detailed and customizable reports about your models behavior, scheduled according to your needs and delivered directly to stakeholders.
API integration
Easily connect your existing models through our RESTful API, compatible with popular ML frameworks like TensorFlow, PyTorch, and scikit-learn.
Decision traceability
Maintain a detailed record of all your models predictions and decisions, meeting regulatory requirements and facilitating audits.

Understand your models

AI transparency & trust

Our platform leverages AI agents and interactive visualizations to provide comprehensive explanations of machine learning models, helping you understand how your models make decisions and identify potential biases.

Visual explainability
Interactively visualize how your model makes decisions, with detailed heatmaps and graphs highlighting the most influential areas in each prediction.
Bias analysis
Detect and analyze potential biases in your ML models through comprehensive metrics and visualizations that show model behavior across different demographic groups.
Image interpretation
Understand how your computer vision models process images, identifying relevant regions and decision patterns through advanced attribution techniques.
Screenshot that shows how to explain the model

Advancing explainable AI

Addressing key challenges in AI explainability

Our platform tackles the most pressing challenges in explainable AI, ensuring trust, transparency, and usability in AI-driven decisions. Explore our latest innovations.

Explainability for new AI models
Develop interpretability techniques for generative AI and large language models (LLMs), leveraging mechanistic interpretability and reverse engineering methods.
Collaborative AI explanations
Ensure privacy and consistency in AI explanations by utilizing local explanations and secure multiparty computation techniques.
Improved attribution methods
Enhance saliency maps and heatmaps by integrating multiple XAI methods for more intuitive and accurate model insights.
Concept-based algorithms
Advance explainability through human-understandable concepts while reducing biases in dataset-driven concept learning.
Synthetic explanation generation
Use diffusion models to reduce artifacts in AI-generated examples, improving interpretability and trust in model decisions.
Robust and reliable explanations
Strengthen XAI robustness through benchmarking, bias mitigation, and enhanced stability in post-hoc explanation techniques.

Boost your XAI with advanced metrics

Seamless integrations with leading AI platforms

Our XAI platform integrates effortlessly with industry-leading tools like AWS SageMaker, Azure ML, Google Vertex AI, Apache Spark ML, Elastic, and more, making your AI journey easier and faster.

AWS SageMaker integration
Azure ML support
Google Vertex AI compatibility
Apache Spark ML integration
Elastic Search AI integration
Flexible custom integration options
Screenshot which show different integrations with inData Trust

Pricing

Choose the right plan for you

Select an affordable plan with the best features to engage your audience, build customer loyalty, and drive sales.

Starter

BasicPlan

Ideal for small businesses and developers who need basic explainability in their AI models.

  • Interactive feature importance charts
  • Explainability for structured and image generation models
  • Local and global interpretability analysis
  • Access to 3 AI agents with detailed explanations
  • Up to 20 models analyzed per month
  • Priority support via email and chat
Get started today

Professional

AdvancedPlan

Advanced features for growing companies and data science teams.

  • All Starter plan features
  • Explainability for advanced ML models
  • Real-time explainability for models in development
  • PDF report export
  • Access to 5 AI agents with customization options
  • Up to 50 models analyzed per month
  • Priority support with fast response times
  • API access for integration
Get started today

Enterprise

CustomPlan

Tailored solution for large companies with advanced explainability needs and custom AI agents.

  • All Professional plan features
  • Advanced explainability for any model type
  • Real-time explainability for production models
  • PDF and JSON report export
  • Domain-specific AI agents
  • Integration with MLOps tools and automated workflows
  • Unlimited model analysis
  • 24/7 support with dedicated specialist
  • Private cloud or on-premise deployment
Get started today