Lume 🤝 Cardinal Gray Check out how we helped Cardinal Gray speed up data implementation timelines by 13x!
One of the most impressive outcomes we’ve seen recently - how Cardinal Gray (YC S23) cut data implementation timelines and time-to-value by 13x using Lume AI. ⚡ Their team had a massive challenge: mapping customer data from different Loan Management Systems (LMS) into hundreds of standardized schemas required for DMV titling compliance. Varying data models. All structured differently. All needing to be normalized, transformed, and piped into tightly-defined schemas for downstream DMV titling compliance workflows. Before Lume, this meant months of mapping work by engineers - a clear bottleneck to scaling. That’s where Lume came in. Cardinal Gray implemented our AI-powered data mapping platform and went from a projected 5-month rollout to a 6-week launch. 🚀 We helped them use AI to build and manage hundreds of mapping pipelines, and build the scaffolding to manage and evolve the mapping pipelines as customer data and compliance schemas changed and evolved. -> No more hand-coding and mapping from customer Loan Management Systems to hundreds of compliance data schemas. -> No more fragile integrations between customer and end data models. -> Just scalable, reliable data mapping - and a faster path to market. “What once was going to take 5 months took us 6 weeks with Lume.” Cardinal Gray has now got to market faster, freeing up engineering time, and scaling to hundreds of standardized documents without increasing manual effort. Super proud of this partnership, and proud to have gotten to know the killer team behind the Cardinal Gray - led by Jack Chapman, Muhammad Khattak, and Grant Pease. -- full case study in the comments👇