IoB or internet of behaviors is a somewhat recent phrase that refers to the combination of physical and digital worlds through devices such as sensors and smartphones, and connected to the cloud allowing them to send and receive data to provide value either in a closed or open ecosystem.

Our client enabled its API for extra security, scalability, and monitoring using an API Management solution.

With remote working now the norm amidst the pandemic, seamless real-time video communication is now an essential feature for business

Sphere developed a successful customer-oriented prototype for Gett Taxi.

Following a key acquisition of an electric vehicle charging company, the client software teams decided to migrate their old monolith system that ran from a data server into set of new microservices in the cloud.

Gett Inc., was looking for a partner to help scale it's platform with the changing needs of the business. and looked to Sphere for a team of experienced developers.

The client company wanted to adjust their operational reporting capability in response to rapid growth and were looking for a vendor to help integrate a new ERP.

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.

Sphere was approached by a video training platform startup for recruiters and job seekers that focuses on helping applicants land the perfect job by providing online mock interviews, expert mentor advice, personalized recommendations and video recording, so job seekers can be well prepared in their job search.

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.