News & Insights
Data Deals Briefing
Daily, sourced analysis of the global market for data — acquisitions, AI-data partnerships, funding and regulation.
Data Academy
New to buying or selling data? Start with our practical guides.
Which SME Data Assets Are Actually Monetizable? The 7-Family Framework
Learn how to audit your internal databases to identify the seven high-value data families currently in demand. Transition from a cost-center to a revenue-generator by understanding the specific criteria AI buyers prioritize.
Read the briefing →Does Licensed Data Lower Your EU AI Act Compliance Costs?
Discover how licensed data acquisition simplifies compliance with Article 10 of the EU AI Act. We analyze the cost-benefit of buying rare datasets versus the legal risks of non-traceable data.
Read the briefing →Valuation Frameworks for Niche Image Datasets in Physical AI
Proprietary image archives from specialized sectors command a significant scarcity premium over open-web data. This guide provides the valuation benchmarks and quality criteria required to monetize niche computer vision assets.
Read the briefing →How to Value and Sell Rare Language Datasets for AI Training
Learn how to monetize under-represented linguistic assets in the AI era. This guide covers valuation frameworks, technical requirements, and the specific demand for 'low-resource' language data.
Read the briefing →Pricing Workshop Video Data for Robotics AI Training
Learn how to quantify the value of industrial video archives and the technical requirements AI buyers demand for training next-generation robotic foundation models.
Read the briefing →Data Acquisition Due Diligence: 6 Critical Checks for AI Buyers
Acquiring datasets for AI training requires more than a technical evaluation; it demands a rigorous 6-point due diligence framework. Learn how to verify provenance, secure commercial rights, and mitigate regulatory risks before closing your next data deal.
Read the briefing →Build vs. Buy: When is External Data More Cost-Effective?
Learn the precise criteria for choosing between in-house data generation and external acquisition, including cost-per-label benchmarks and time-to-market trade-offs. This guide provides a decision framework for data buyers and valuation insights for owners.
Read the briefing →Why Data Deals Fail: 5 Red Flags That Kill Institutional Value
Learn how to navigate documentation gaps, legal provenance, and pricing paradoxes that scare off institutional data buyers. This guide provides a framework for preparing high-value data assets for the global market.
Read the briefing →Is Your Dataset Legally Sellable? A GDPR Guide for Data Owners
Learn the critical distinctions between anonymized and pseudonymized data to ensure GDPR compliance. This guide provides a 5-step checklist for data owners to monetize assets safely.
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