Case Studies

A risk management and insurance services firm was looking for ways to increase revenue by streamlining the way customers request their products. They knew that in order to increase the accessibility and efficiency for accessing their services, they would need to integrate with the organizations that are selling their products.

Trihydro chose the Lunavi cloud environment to improve connectivity between office and project locations, to ensure data and systems were reliably backed up, and to do it from infrastructure consistent with both the company’s need for uptime and commitment to sustainability.

Tinuum Group found a perfect partner in Lunavi to provide cloud network infrastructure and further extend its commitment to the environment.

Thunder Basin needed a unified IT platform to coordinate and provide services from offices many miles apart. A managed cloud platform and Virtual Desktop Infrastructure (VDI) from Lunavi delivered the compliance needed for electronic health records while also providing significant cost savings over an in-house purchase and management.

Lunavi was selected by Print On Demand platform developer Nymbl to help migrate backend infrastructure to the cloud and architect a scalable, multi-tenant eCommerce web platform for future growth.

Ness & Campbell Crane provides fast crane service for construction sites across the Northwest. In order to fulfill their mission to consistently provide excellent service, Ness & Campbell turned to Lunavi for cloud-based e-mail, accounting, dispatch, payroll, and billing applications. A hosted backup ensures their systems are always available.

National CineMedia colocates with Lunavi for increased uptime, improved technical resources, and green energy savings.

Mountain West Farm Bureau Mutual Insurance (MWFBMI) chose Lunavi for complete managed IT services, including a large scale fiber upgrade, IT modernization, hybrid cloud infrastructure, and colocated equipment.

Driven by a strong retail background, FlexPay.io leads the payment salvage industry with advance machine learning models that intelligently determine the best way to recover declined, recurring payment card transactions where the credit card isn’t present.