Testing and training AI requires realistic data. Using real customer data creates privacy and security risk. Seedless solves this. We generate highly realistic synthetic data (emails, contracts, health records, financial documents, and more) so your AI performs in the real world without exposing real people.
Our approach uses agent-based role playing and world-building, resulting in diverse, contextually grounded content across communications, documents, records, and reports
Realistic Scenarios
Our data reflects real business situations including edge cases and exceptions that matter most when evaluating AI accuracy and reliability
Optimized for Quality
Our patent-pending process uses multiple AI models working together to produce data that is highly realistic and statistically valid, not just plausible-sounding, but rigorously calibrated
Custom-Built
Every dataset is built to spec and includes 'answer keys' (ground truth annotations) so you can benchmark your AI's performance against a known standard
Data for testing eDiscovery, contract analysis, legal research AI, and document review tools—without accessing client data or privileged communications.
Data to test and train tools for identifying relevance and privilege, fact-finding in investigations and litigation, and contract lifecycle management.
