Evaluations & Proofs of Concept
Prove Your AI Tool Works Without Waiting for Customer Data
Seedless generates realistic fictional business data for pilots and evaluations, eliminating privacy barriers and accelerating your proof of concept process.
The Need to Try Before You Buy

Validating the accuracy and value of new AI tools requires relevant data and ground truth to evaluate against but using your own data is a non-starter early in the purchasing process, before you've developed conviction.

the result?
A faster, low-risk AI-driven process, with results your team can explain and defend.
Synthetic Data Built for Real Evaluation

Seedless creates high-quality fictional business data specifically designed for evaluating and validating AI tools during pilots and proofs of concept.

Our synthetic datasets include emails, chats, documents, contracts, and industry-specific formats that mirror real enterprise environments, enabling rigorous testing without privacy concerns or data access delays.

the result?
This turns AI evaluation into a faster, low-risk process with results your team can explain and defend.
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Accelerate Evaluations

Eliminate weeks or months waiting for customer data access. Begin testing immediately.

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 Test Real Complexity

Evaluate how tools handle edge cases, anomalies, and real-world challenges, not just simple scenarios.

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Zero Privacy Risk

No NDAs, no data access agreements, no GDPR concerns during the evaluation process.

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Objective Performance Metrics

Built-in answer keys enable quantifiable, defensible measurements of tool performance.

Where Seedless Changes Your Process
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01
Provide Evaluation Criteria

Specify your tool's capabilities, target industry, and the scenarios you need to validate.

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02
Seedless Generates Test Data

Our AI agents create interconnected, realistic datasets with embedded test scenarios.

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03
Populate Test Data

Ingest data into your platform and conduct thorough testing with complete privacy compliance.

04
Measure Performance

Use included ground truth data to objectively score accuracy, recall, and precision.