THE OPPORTUNITY
The missing market between enterprise data and AI
AI companies have the budget and the need for real-world, proprietary enterprise data to build, evaluate, and improve their products.
Enterprises generate exactly that data and most do not know there is a credible buyer, how it should be packaged, which use case it fits, or how to commercialize it safely and legally. Nexus closes that gap, with a trusted, structured process on both sides of the market
What your models need
Pre-Training
Post-Training
Fine-Tuning
Large-scale data where synthetic alternatives fall short
Higher-signal data for refinement and feedback workflows.
Targeted data for specific domains and use cases.
Evaluation
Real-world data to test and validate model readiness.
What AI companies are buying
Financial Services
Enterprise SaaS
Industrial & PropTech
Transaction and decisioning data from banks and insurers.
Behavioral and interaction data from large platforms.
Inspection, project, and operational asset data from asset-heavy sectors.
Media & Retail
Behavioral and consumer interaction data at scale.
Hugh exceeded my expectations. He was instrumental in architecting and structuring a complex multimodal data product, bringing strategic clarity, commercial rigor, data trust and governance, and institutional buyer readiness to the project. His work materially accelerated progress, and I would gladly recommend him and work with him again.
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Jacob Wolinsky, Founder & CEO, Hedge Fund Alpha