Privacy-centric data Potential customers who prioritize data privacy and control can be prime targets. Sharedat emphasizes encryption at rest, on-premise-like data ownership, and transparent activity logs, which appeals to organizations with strict regulatory or insider risk concerns.

Personal knowledge graph Position Sharedat as a foundational data layer that unifies scattered information (drives, emails, calendars, bank data) for AI agents. Target teams building AI workflows who need a single structured source of truth to improve analysis, automation, and decision-making.

Provider neutrality Highlight the ability to work with any AI model or agent through open standards. This can attract mid-market to enterprise buyers seeking flexibility to switch models without retraining or data migration friction.

Early access signals The product is in early access with a small founding group, suggesting an opportunity to engage beta customers, collect case studies, and drive co-innovation with security-minded pilot programs.

Low current scale, high potential With revenue likely under $1M and a lean team, there is room to upsell governance, security features, and enterprise-grade integrations. Target growth-oriented SMEs and emerging AI-enabled firms seeking private data layers and controlled AI exposure.