Tavant Launches Mortgage Data Foundry to Unify Lender Data Across Systems

Mortgage technology firm Tavant announced on Monday, Oct. 12 the launch of Mortgage Data Foundry, a product that pulls information from a lender's many software systems into one governed data layer. The announcement came through Business Wire at 7 a.m. Eastern.

Why this matters: Most lenders run separate systems for leads, pricing, origination, underwriting, secondary marketing, servicing and accounting. When reports from those systems disagree, managers make slower decisions and AI tools have unreliable inputs. Tavant is pitching a fix for that underlying data problem.

Cover: Editorial illustration for Tavant's Mortgage Data Foundry launch. Illustration created for mortgage.news; it does not depict a real person, property, product screen or document.

What the product does

According to Tavant, Mortgage Data Foundry:

• Reads data in real time from a lender's existing origination and servicing systems. It does not replace them, write back to them or copy their underwriting rules.
• Runs on the lender's own cloud data platform, such as Microsoft Fabric, Snowflake or Databricks.
• Maps records to MISMO, the mortgage industry's data standard, and decides which source is correct when systems disagree.
• Offers dashboards, plain-language queries and MCP-compliant endpoints, a common way to connect AI tools to data.

Tavant says it gives executives a near real-time view of volume, pull-through, margin and operational health.

Vendor targets, not results

Tavant says the product is designed to help lenders cut the cost of producing each loan by 15% to 25%, keep 10% to 20% more existing borrowers when they refinance or buy again, and shorten reporting from days to hours. It also says its AI-assisted tools reduce implementation from quarters to weeks.

These are design goals. The release does not name any lender using the product, give pricing, or report measured outcomes. No independent test of those figures has been published.

Why the read-only approach matters

Because the product only reads from source systems, a lender would not need to replace its loan origination system to use it. That may lower the risk of adoption. It also means the quality of the output still depends on the quality of data entered upstream.

“Lenders can't afford to make decisions on fragmented data and delayed insights on where to act,” said Hassan Rashid, Tavant's president of fintech.

Who should pay attention

Operations, secondary marketing, compliance and data leaders at lenders with several disconnected systems are the main audience. Smaller lenders on a single all-in-one platform may see less benefit.

Practical takeaway

Before buying, ask Tavant for named reference clients, the measured cost-per-loan change at those clients, which systems have ready-made connectors, and who maintains them when a vendor changes its data format. Compare that against the cost of cleaning up data in existing systems.