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Unlearning AI

NewVerified

Privacy-first machine learning platform for removing sensitive data from AI models

AI Security & Compliance
8.4 (66.313 score)
enterpriseAPI Available
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Overview

Unlearning AI provides tools to remove specific personal or sensitive data from trained machine learning models without retraining, enabling GDPR compliance and privacy-respecting AI systems through machine unlearning technology.

Pros

  • Solves right-to-be-forgotten compliance
  • Avoids expensive model retraining
  • GDPR and privacy regulation compliant
  • Enterprise-grade security

Cons

  • Enterprise pricing only
  • Specialized use case
  • Requires ML infrastructure knowledge

Key Features

Machine unlearning algorithms
Data removal verification
Compliance reporting
API integration
Audit trails

Use Cases

GDPR complianceUser data deletion requestsPrivacy-respecting AI systemsRemoving leaked training data

Best For

Compliance & Legal TeamsML Engineers & Data ScientistsEnterprise Security OfficersPrivacy-Focused Product Teams

Frequently Asked Questions

What is the pricing model for Unlearning AI?
Pricing details are typically based on deployment scale and data volume, with enterprise licensing available. Contact their sales team for specific quotes tailored to your organization's needs.
How steep is the learning curve for implementing Unlearning AI?
The platform is designed for technical teams with API integration as the primary implementation method. Most deployments require ML engineering expertise, though documentation and support can accelerate onboarding.
Does Unlearning AI integrate with existing ML infrastructure?
Yes, it offers API integration for seamless connection with your current ML pipelines and platforms. Audit trails and compliance reporting features also integrate with enterprise security and governance tools.
What is the main limitation of machine unlearning?
Processing time and computational overhead can be significant for large models, and effectiveness depends on model architecture. Verification that data is truly removed requires thorough testing and validation.
What is the ideal use case for Unlearning AI?
It's best for organizations handling sensitive personal data who need GDPR/privacy compliance without rebuilding models from scratch, especially financial services, healthcare, and SaaS companies processing user data.

Pricing Plans

Free

Custom
  • Up to 1,000 API calls per month
  • Basic unlearning for single documents
  • Community support
  • Standard rate limiting

ProMost Popular

$99/monthly
  • Up to 100,000 API calls per month
  • Batch unlearning operations
  • Priority email support
  • Custom unlearning workflows

Business

$499/monthly
  • Up to 1,000,000 API calls per month
  • Real-time unlearning with verification
  • Dedicated account manager
  • Custom integrations

Enterprise

Custom
  • Unlimited API calls
  • On-premise deployment options
  • 24/7 phone and email support
  • Custom compliance and audit trails

Verified Info

Added to directory5/8/2026
Pricing modelenterprise

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