TRAMS: AI SAFETY RAILS FOR AGENTS, MODELS AND DATA USE
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Synthetic Data Generation

Incredible technology: Use an original dataset to create an artificial dataset with the same characteristics and performance as the original for use in AI model training
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Benefits

Privacy-preserving synthetic data: Generate highest quality synthetic data, even from encrypted datasets! ​No need to see the original cleartext data. 

Testing: Test scenarios by being able to adjust bias in the data in a highly controlled manner
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Overcome scarcity: Create large volumes of life-like data that otherwise would be too scarce or too sensitive to acquire E.G. military or genomic data

Features

Data structure
Transform the data while maintaining its original structure
Synthetic data quality
Preserve statistical information of the original data
Anonymity
No personably identifiable information is retained after the data is transformed
Safety
Future-proof the compliance of data operations against both human error and malicious intent
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  • Home
  • PLATFORM
    • AI Risk Evaluation
    • AI Privacy Auditing
    • AI Performance Evaluation
    • AI Threat Intelligence
    • AI Threat Modelling
    • Federated Learning
    • Homomorphic Encryption
    • Synthetic Data Generation
    • Data Anonymisation
    • Data Quality Assessment
    • Industry Use Cases
  • Contact
  • Demo
  • Partnership
    • Consulting Partners
  • Blogs