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Congruity360 InfoGov generates higher quality pool of AI-ready data and reduces the amount of AI compute and AI storage by identifying redundant and outdated information through metadata, that eliminates 60% to 70% of the data

July 3, 2025 //  by Finnovate

Congruity360 InfoGov focuses on helping organizations protect and manage unstructured data through AI-driven cyber resilience tools. Congruity360 helps organizations take the bites out of bytes through a process that leverages the promise and capabilities of data classification. By identifying redundant, outdated and sensitive information, the company helps clients understand the data they have and act on it. CEO Mark Ward said, “In order to get smart data, you have to basically limit the amount of garbage that is potentially available for your AI outcomes. We do that by identifying through metadata what information is redundant. It’s copies upon copies or, as you and I both know in the storage world, snapshots across snapshots.” That process yields a higher quality pool of data that is then fed into AI workloads. This solution results in better outcomes and lower costs, according to Ward.  “By eliminating anywhere from 60% to 70% of the data, by eliminating rot, we’re able to reduce the amount of AI compute and AI storage required on the backend. With the cost being the cost, that’s a big, big outcome.” With the rise of AI agents, there is also a risk that autonomous bots will act based on erroneous data. Congruity360 has sought to minimize this issue through a solution called CDM Hub that empowers individual data owners. “The CDM Hub was actually developed from one of our large European customers who was managing their [General Data Protection Regulation] exposure,” Ward explained. “It not only gives the end-user owner[ship] of the data, but it’s actually a hierarchical interface so that the management organization … has ultimate say on what data is being used. This hierarchical approach to making sure that human intervention at the appropriate levels is applied to what the machine learning engine produces.”

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Category: Cybersecurity, Innovation Topics

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