Seedless generates realistic fictional data, like emails, chat messages, contracts, reports, patient health information and financial records, to enable companies to test, train and ultimately trust AI without compromising privacy or security.
We leverage agent-based role playing and world-building to generate diverse content across numerous formats, from communications to documents, records and reports
Realistic Scenarios
Our data incorporates real-world business scenarios, including nuanced edge cases for robust AI evaluation and training
Optimized for Quality
Patent-pending process leverages machine learning and generative AI, using multiple LLMs in concert to produce highly realistic, statistically valid data
Custom-Built
Uniquely designed data for training and evaluating AI tools with inclusion of "answer keys" for benchmarking performance.
Data to test tools for fraud detection, AML compliance, regulatory stress testing, litigation and investigations.
Life Sciences & Healthcare
Patient health data for clinical trials, drug development tools, regulatory filing systems, marketing tools and healthcare communications.
Legaltech
Data for testing eDiscovery, contract analysis, legal research AI, and document review tools—without accessing client data or privileged communications.
Industry Law Firms
Data to test and train tools for identifying relevance and privilege, fact-finding in investigations and litigation, and contract lifecycle management.