Case Study: VTS achieves 3x faster AI model deployment with Provectus

VTS speeds AI model deployment 3x with Provectus

VTS, Inc., a commercial real-estate leasing and asset-management software company, faced a significant challenge in deploying its machine learning models into production. While its data scientists could build effective models, the manual deployment process was slow and required specialized infrastructure expertise, hindering their ability to deliver AI-powered features to customers. They partnered with vendor Provectus to create a foundation for faster, more reliable model deployment.

Provectus built a reusable template-and-SDK-based ML deployment platform on Amazon SageMaker for VTS. This solution automated and standardized the path from prototype to production, allowing data scientists to focus on modeling instead of deployment mechanics. As a result, VTS accelerated its delivery of AI solutions to production by 3x, shipping its first model in just three months and establishing a reusable foundation for all future AI applications.

VTS, Inc.