A specialized healthcare organization transformed its data governance and compliance with Sphere's team. By building a secure Azure-based infrastructure, automating compliance workflows, and deploying real-time analytics, the organization achieved full regulatory compliance, improved data accuracy, and enhanced operational efficiency.

Sphere partnered with a major entertainment venue to modernize its event planning through predictive analytics, real-time reporting, and cloud-based data infrastructure. By centralizing data on Azure, automating workflows, and integrating predictive models, the organization improved event profitability, operational planning, and visitor experiences.

Sphere partnered with a premier luxury sports car experience provider to modernize its data infrastructure, addressing manual workflows, data silos, and scalability challenges. By migrating to a cloud-based environment and implementing automated ETL pipelines and real-time Power BI dashboards, the company significantly improved operational efficiency, decision-making, and scalability.

Sphere partnered with a global leader in commercial finance to optimize its AWS cloud infrastructure, improve data retrieval efficiency, and standardize financial data across third-party sources. Through database enhancements, cloud optimization, and streamlined data aggregation, the client achieved faster decision-making, improved risk assessments, and significant cost savings.

Sphere partnered with a U.S.-based telemedicine provider to improve medical documentation through AI-powered solutions, including real-time speech-to-text, automated data structuring, and consultation summarization. This project reduced physicians' administrative burden, improved data accuracy, and enhanced patient satisfaction by enabling doctors to focus more on patient care.

Sphere partnered with a leading Chicago-based smart building technology company to develop a robust Carrier module for their platform. Faced with the departure of their CTO and significant resource constraints, the client required expert architectural guidance and secure, scalable solutions. Sphere assembled a dedicated team to create a seamless API integration and a Java-based plugin, enhancing temperature control functionality and streamlining operations. Through strategic infrastructure setup, CI/CD implementation, and rigorous testing, Sphere not only addressed immediate technical gaps but also laid a strong foundation for the client’s future growth and innovation in the smart building sector.

Despite employing manual quality inspections, subtle defects often went unnoticed, leading to product recalls, wasted materials, and rising operational costs. The client needed a reliable, cost-effective solution to: Ensure 100% quality coverage without slowing production. Minimize human error in quality control. Provide real-time insights to reduce waste and prevent costly rework. Our Computer Vision Quality Control system was tailored to solve these issues, helping the client not only detect defects but also optimize their production process for long-term efficiency.

Sphere transformed a medical practice’s claims submission process by implementing a GenAI-based validation service that streamlined documentation, reduced errors, and accelerated reimbursement times. This innovative solution led to a 65% reduction in corrections, a 20% faster reimbursement process, and a 35% decrease in outstanding accounts receivable, significantly improving the practice's financial health and operational efficiency.

Facing challenges with time management in customer service, Ascentia collaborated with Sphere to implement a Generative AI solution, dramatically improving call summarization times and customer satisfaction. This case study delves into the structured approach—from the initial GenAI workshop to the successful Proof of Concept—showcasing how targeted technological solutions can transform operational efficiencies.

CLIENT Ascentia INDUSTRY Home Manufacturing SERVICE