Is Your Data Ready for AI? Gulp Helps You Find Out.

Gulp enables organizations to evaluate their internal data archives and assets—structured or unstructured—to prepare for AI training, model licensing, and future monetization. We provide a clear, programmatic pathway to uncover the hidden value inside your data, guiding you through readiness, enrichment, and market integration.

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Assessing AI Readiness

Understand how prepared your data is for modern AI use cases.

Many organizations believe they are ready for AI, but less than 15% have the structured, enriched data necessary to make meaningful progress. Gulp assesses your data landscape for completeness, format, volume, quality, and use-case potential—highlighting what’s usable today and what needs preparation.

Valuation for Model Licensing

Know what your data is worth before licensing it to third parties

Gulp benchmarks your data against proprietary and public datasets used in model training today. We provide a valuation framework that supports transparent, fair licensing—ensuring your IP is priced accurately and competitively.

Data Enrichment & Metadata Mapping

Improve the value and usability of your datasets with targeted enrichment.

Our technology identifies gaps in labeling, structure, and metadata—offering guidance on how to enhance your data assets for greater downstream use. This includes file tagging, format normalization, deduplication, and semantic structuring.

Structured + Unstructured Content Insights

Bring order to unstructured content and long-lived data archives.

PDFs, logs, documents, emails, scanned records—these often hold immense latent value. Gulp helps classify, organize, and quantify these sources so they can be activated for AI, internal analytics, or monetization.

Strategic Data Preparation

Build a roadmap to activate your data for internal or external use.

Gulp doesn’t just value your data—we help prepare it. We provide practical guidance for Chief Data Officers and technology leaders who want to align data management efforts with emerging AI opportunities.

Use Cases from Science to Media

A life sciences company preparing to license clinical trial records to train a specialized LLM.

A global consultancy evaluating internal knowledge bases for structured analytics and automation.

A retail brand packaging customer journey data for internal personalization and external resale.

A media publisher assessing years of archival content for embedding into an AI search interface.

Data Server with data products and money generated.

Market Stats

AI Investment vs Adoption

94% → 21%

of enterprise leaders are increasing AI budgets — but only 21% have operationalized AI organization-wide

(Source: McKinsey, 2024)

Data Maturity Alignment

13%

of global enterprises have high data maturity scores aligned to AI adoption

(Source: Accenture, 2023)

Failure from Unusable Data

44%

of AI deployments fail due to unstructured or unusable data

(Source: Gartner, 2024)

Readiness Drives Production

47%

more likely to reach production-level outcomes when companies conduct AI readiness assessments

(Source: Deloitte Insights, 2023).

We unlock value for companies that use

and many others