Born from Frustration, Built for Scale
Dataova was founded in 2024 by a team of data engineers who had spent their careers at the world's leading data companies. James Liu, Sofia Reyes, and Michael Zhang had collectively built systems that processed trillions of rows of data for thousands of enterprise customers. Yet they kept encountering the same problem: the gap between raw data and actionable insight was still too wide, too slow, and too expensive.
At Snowflake, James had watched organizations struggle to translate their data warehouses into competitive advantages. At Databricks, Sofia had seen that even the most sophisticated data teams were drowning in infrastructure complexity instead of generating insights. At Palantir, Michael had built AI systems that worked for governments and defense contractors but remained inaccessible to most enterprises.
The insight was clear: the next generation of data intelligence would not be about storing more data or writing better SQL. It would be about AI that thinks with your data, surfaces what matters, and delivers answers before you even know what question to ask.
Dataova was built to be that platform. Based in New York, we work with enterprise data teams across financial services, technology, healthcare, and retail to transform how organizations understand and act on their data.
