Fictional Data to Power Enterprise AI Adoption
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.
The Problem
How to Fix It
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Data Scarcity is the Biggest Roadblock to Corporate Adoption of AI
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Buying or building enterprise AI tools requires access to high quality business data for testing and training
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Privacy regulations and data security concerns prevent companies from using their own data to test or train new tools.
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The resulting scarcity of available data is the blocker to widespread adoption of AI for business; no testing means no trust.
Our Solution
How It Works
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Seedless Generates Fictional Data to Safely Enable You to Embrace AI
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Fictional data is secure, privacy-compliant and isn't seeded with your actual corporate data
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Incorporates realistic business scenarios to test and train AI on nuanced edge cases
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Includes answer keys to benchmark performance and validate training results
The Breakdown
See Our Process
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Creating Business Data That's Fit for Purpose
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AI Agents
We leverage agent-based role playing and world-building to generate diverse content across numerous formats, from communications to documents, records and reports
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Realistic Training
Our data incorporates real-world business scenarios, including nuanced edge cases for robust AI evaluation and training
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Optimized for Quality
Patent-pending process leverages machine learning and generative AI, using multiple LLMs in concert to produce highly realistic, statistically valid data
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Fit for Purpose
Uniquely designed data for training and evaluating AI tools with inclusion of "answer keys" for benchmarking performance.
Target Industries
Meet the Team
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Key Industries Based on Our Domain Expertise
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Finance
Data to test tools for fraud detection, AML compliance, regulatory stress testing, litigation and investigations.
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Life Sciences & Healthcare
Patient health data for clinical trials, drug development tools, regulatory filing systems, marketing tools and healthcare communications.
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Legal
Data to test and train tools forIdentifying relevance and privilege, fact-finding in investigations and litigation, and contract lifecycle management.