Seedless

Seedless is a data generation platform designed to facilitate enterprise AI adoption by creating realistic, privacy-compliant fictional data. It addresses the challenge of data scarcity in AI development, particularly in environments constrained by privacy regulations and data security concerns.​

Seedless generates synthetic data that mirrors real-world business scenarios, including emails, chat messages, contracts, reports, patient health information, and financial records. This data enables organizations to test, train, and validate AI tools without exposing sensitive or proprietary information.​

Key Features and Functions of Seedless include: 

Privacy-Compliant Data Generation: Seedless produces data that is secure and free from actual corporate information, ensuring compliance with privacy regulations.​

Realistic Business Scenarios: The platform incorporates nuanced edge cases to provide robust datasets for AI evaluation and training.​

Answer Keys for Benchmarking: Each dataset includes answer keys to facilitate performance benchmarking and validation of AI models.​

AI Agents and World-Building: Utilizes agent-based role-playing and world-building techniques to generate diverse content across various formats.​

Optimized Data Quality: Employs a patent-pending process leveraging multiple large language models (LLMs) to produce statistically valid and highly realistic data.