See how Sphere Partners automated as many manual processes as possible in 8 weeks including parsing and normalization for a fintech client.

Our client Inter.ai is on a mission to revolutionize and optimize enterprise productivity with their innovative RPA (Robotic Process Automation) solutions.

Recent years have seen many organizations move their data warehouses to the cloud. Planning a data migration is a complex, multi-step task that benefits greatly from advanced planning and consultation.

A Tel Aviv company that operates a training platform was seeking a partner for an end-to-end development pipeline that included designing the user interface, system, validation, and go-live.

Since 2017, the firm’s US operation faced a significant change to its digital transformation strategy as they were acquired and needed to conform to the Corporate strategy.   They sought out external expertise to advise them on ways to use technology and IoT data to allow production leads to track and adjust the process as needed. They were looking for a proactive real-time approach to utilize their manufacturing and quality data to correct their manufacturing process deficiencies when a problem was detected. To implement this AI-based approach, our data consultant had to identify and analyze all the possible data sources during the manufacturing process and design a centralized data extraction, transformation, and load (ETL) process across the entire manufacturing system nodes. 

The company approved a digital transformation strategy to grow their data practice and wanted to prove artificial intelligence ROI.

Gett is available in over 60 cities worldwide including NYC, Moscow, and London. In London, more than half of all black cabs run on Gett. Consumers benefit from pre-booking features without any surge pricing. Corporate clients benefit by reducing costs while ensuring safe, legal, and professional transportation.

In an interesting turn of events, the client placed more value on the business assets (the customers and vendor network) than the technology that ran the business. As a result, the scope of this due diligence was maintenance focused – what are the costs to maintain the technology, transition the customers, then decommission the technology over a 12-18 month period?

The organization had made significant investments in its digital platforms and business optimization efforts but needed to streamline processes (such as allowing the customer service organization to access client records).

Fuse Universal identified an opportunity to launch a professional custom LMS platform so users could curate custom content, develop new skills, and track performance.