# Seedless Data - llms.txt

## Company Overview
Seedless generates simulated business data using AI agent simulations to help enterprises in regulated industries (legal, healthcare, pharma, finance) safely evaluate, train, and test AI tools without exposing their own sensitive data.

## Key Differentiators
- Patent-pending multi-agent simulation process
- Creates simulated data from scratch - no seed data required
- Focused on unstructured business data (emails, chats, documents, presentations)
- Industry-specific scenarios embedded in datasets
- Serves regulated industries: legal, healthcare, pharma, finance

## Products & Services
- Custom fictional datasets for AI tool evaluation and training
- Platform subscriptions 
- Data formats: emails, chats, spreadsheets, presentations, PDFs, text files, images, meeting transcripts, documents, presentations, industry-specific documents

## Use Cases
- AI tool evaluation and proof-of-concept testing
- Training and fine-tuning AI models
- Compliance and regulatory testing
- Procurement and data privacy

## Technology
- Multi-LLM agent-based simulations
- Incorporates entropy for diversity and realism
- World-building methodology: creates business environments, stories, characters, then generates interactions
- Quality assurance through qualitative analysis, consistency checks, and quantitative measures

## Terminology Note
Seedless uses "simulated data" rather than "synthetic data" to distinguish from traditional synthetic data approaches that require seed sets of private data for replication.

## Last Updated
January 2026