
Datagence provides expert-led services and technology to manage data chaos, ensuring data is AI-ready, always reliable, and never a blocker. They offer solutions for tech platform migration, marketing and sales customer data management, and AI readiness. Unlike one-size-fits-all or black-box solutions, Datagence differentiates itself by not offering a generic fix but delivering a tailored solution. They highlight the shortcomings of manual spreadsheet management, limited data quality point solutions, complex enterprise platforms, and expensive consulting firms. Their business model involves a 'Service as Software' delivery model, combining data experts and tools, freeing customers from purchasing costly SaaS platforms or hiring specialized teams. Datagence's process includes data health assessment, data unification using 800+ pre-built connectors, and an advanced data quality engine configurable to client requirements, with automated delivery to core systems. They also emphasize data governance and adherence to standards like ISO 8000 and ANSI.

Datagence provides expert-led services and technology to manage data chaos, ensuring data is AI-ready, always reliable, and never a blocker. They offer solutions for tech platform migration, marketing and sales customer data management, and AI readiness. Unlike one-size-fits-all or black-box solutions, Datagence differentiates itself by not offering a generic fix but delivering a tailored solution. They highlight the shortcomings of manual spreadsheet management, limited data quality point solutions, complex enterprise platforms, and expensive consulting firms. Their business model involves a 'Service as Software' delivery model, combining data experts and tools, freeing customers from purchasing costly SaaS platforms or hiring specialized teams. Datagence's process includes data health assessment, data unification using 800+ pre-built connectors, and an advanced data quality engine configurable to client requirements, with automated delivery to core systems. They also emphasize data governance and adherence to standards like ISO 8000 and ANSI.
Core offering: Polus™ data trust platform + expert-led services for unified, AI-ready business data
Business model: Service-as-Software: SaaS subscription or full-service (technology + experts)
Company size: Approximately 6 employees
Funding (reported): Total funding reported: 1,500,000 USD; last funding date 2025-04-16
Founder / CEO: John Muehling
Data quality, unification, governance, AI readiness, and migration of business/operational data across systems.
Data trust / Data management
1500000.00
Most-recent round labeled Series A in third-party profiles; publicly visible investor names/details not provided in evidence.