A mid-sized U.S. EPC firm lacked real-time financial visibility due to fragmented spreadsheets and outdated ERP systems. By unifying project data and deploying predictive Power BI dashboards, the company gained live cost tracking, automated forecasting, and proactive resource control. Results: 22% higher forecast accuracy, 80% faster reporting, and 18% better utilization—turning financial management from reactive to predictive.

A mid-sized U.S. general contractor managing over 120 subcontractors across 20 active projects needed a unified view of subcontractor performance, cost, and risk. Fragmented data across spreadsheets, ERPs, and field tools left executives blind to real-time issues, causing overruns and delays. In just 10 weeks, our team integrated all subcontractor-related data into a governed Snowflake Lakehouse and delivered live Power BI dashboards that now serve as the single source of truth. Executives can monitor vendor reliability, change-order frequency, and corrective work in real time—transforming subcontractor oversight from reactive to proactive. The result: subcontractor-related cost overruns cut by 17%, reporting cycles reduced from 5 days to under 24 hours, and 100% executive adoption within the first month. The dashboards not only unified operations but established a data-driven foundation for long-term subcontractor benchmarking and performance optimization.

A growing law firm needed a clear, safe way to adopt AI. Sphere built the strategy, data infrastructure, and pilots — including Sphere GPT agents — to unlock faster intake and contract work without risking compliance.

A mid-sized law firm was paying for 180 Salesforce licenses while fewer than 20% were active. Sphere helped them right-size licenses, rebuild BD workflows, and restore trust in Salesforce as their single source of truth.

A Tier 1 automotive supplier partnered with Sphere to accelerate CAD/CAE validation using AI surrogate models and workflow integration with ANSYS/CATIA. The Proof of Concept reduced simulation runtimes from days to hours, enabled 3–4x more design iterations, and cut validation timelines by up to 40%—helping the client meet OEM program milestones and improve design agility.

A global chemicals manufacturer partnered with Sphere to connect lab, plant, and supply chain operations. By consolidating LIMS, MES/SCADA, and ERP data into Snowflake, automating lab-to-plant recipe transfer, and applying predictive maintenance and demand forecasting models, the client achieved faster product scale-up, reduced downtime, and improved supply chain efficiency.

A regional delivery operator relied on three disconnected systems for dispatch, billing, and warehouse management, creating high IT costs and inefficiencies. Sphere consolidated operations into a single NetSuite ERP platform, improving data accuracy by 90%, cutting IT costs by 25%, and enabling seamless scaling during seasonal peaks.

The operator’s fragmented technology stack created daily inefficiencies across dispatch, billing, and warehouse management. Running three disconnected systems not only raised IT costs but also slowed down response times, introduced data errors, and made scaling cumbersome during seasonal surges. Without a unified platform, the company lacked the accuracy and agility needed to operate efficiently.

Sphere deployed an AI-powered route optimization and dispatch platform for a North American logistics operator, reducing fuel costs by 17%, improving on-time deliveries by 15%, and increasing customer satisfaction in two months.

Sphere implemented AI-driven slotting and real-time pick path optimization for a U.S. fulfillment provider, cutting labor hours by 14%, improving accuracy by 9%, and achieving ROI in three months.