Plat.AI

Plat.AI is a pattern recognition tool. Plat.AI combines a self-serve predictive analytics and model deployment platform with Plat LOS, a loan origination system built for home improvement lending, covering automated underwriting, configurable decision rules, real-time pricing recalculation and PII masking.

Plat.AI is a data analytics and modeling company that ships two related products: a software-as-a-service platform for building and deploying predictive models, and a custom modeling service staffed by its own data scientists. The SaaS side is aimed at data analysts who need real-time estimates from uploaded datasets without standing up a machine learning stack. Users upload data, train models, and push predictions into existing systems through API integrations. Results are presented as interpretable outputs, and the vendor positions the platform for people with limited coding experience, backed by training guides. The second product, Plat LOS, is a loan origination system built specifically for home improvement financing such as roofing, HVAC and other home services. It runs automated underwriting with configurable decision rules, instance offers, real-time CLTV and pricing recalculation, and an AI recommendation score shown alongside applicant data. A filter-driven offer engine accepts arrays covering product, rate sheet, geography and dealer score, then returns matching loan programs within milliseconds while enforcing policy. Operational tooling covers dynamic workflows, merchant-level settings, staged funding and audit trails, and PII is masked across the interface, logs and database for anyone outside admin roles. The platform is designed for lenders, banks and contractors rather than general analytics teams. It can slot into an existing underwriting process or serve as the complete origination stack, and it competes with generic loan origination systems by narrowing to home improvement lending and adding predictive scoring on top. Integration points named on the site include Plaid for income and bank data, property verification data providers, e-signatures and payment rails, plus automated nightly Metro 2 bureau file delivery. Buyers should weigh which product they actually need: the self-serve model builder for general forecasting, or the lending platform for origination and underwriting. The custom modeling route is the fallback when a business problem is unusual or still undefined, and it takes longer than the SaaS path.