Titan Flow Control Leverages Canvas Envision for Enhanced Product Communication

FITme, a Korean-based company specializing in manufacturing implants for facial reconstruction, faced a significant challenge in scaling up their processes for mass personalization. The conventional process of fitting a ready-made silicone implant onto bone structure with manual carving was time-consuming and lacked precision. Surgeons had no tool to analyze patients' scan data and relied solely on photographs. This led to side effects such as bending and movement of the implant, resulting in patient dissatisfaction. The medical tourism industry in Korea was rapidly rising, and FITme had to meet higher demands and reduce lead time. The process of designing custom nasal implants that conformed to the variable shape of patient nasal profiles was a daunting and repetitive task for design engineers. It took up to three months to adequately train new engineers in designing patient implants, which was also expensive.

CeX WeBuy, a global dealer of second-hand electronics, video games, and computing equipment, faced a significant challenge during the COVID-19 pandemic. The company, which relies heavily on its physical stores for buying and selling used products, was hit hard by the lockdown restrictions. The closure of stores led to a surge in customer enquiries, with ticket volumes increasing by over 100% compared to the previous year. The company was also dealing with the confusion over lockdown guidelines, with customers contacting individual stores to check if they were open and to get updates on their orders. Prior to the pandemic, CeX WeBuy had been using Zendesk to manage its customer support operations, but found it lacking in customization, support, and reporting options.

Gogoprint, the largest online printing company in South East Asia, faced significant challenges in managing its talent pool and maintaining transparency across the hiring lifecycle. Despite being a printing company, Gogoprint identifies itself as a Tech and Marketing company, necessitating the acquisition of tech-savvy, independent, motivated, and self-driven talent. The company's unique hiring process, involving multiple rounds of screening, interviews, and practical tests, required a platform that could accommodate these steps while enabling collaboration among all stakeholders. Furthermore, as a rapidly growing business, Gogoprint had to fill several positions simultaneously, making it challenging to keep track of all interviews, follow-ups, and decisions.

ScholarMatch, a San Francisco-based nonprofit, is dedicated to assisting low-income and first-generation students in their journey to college. The organization's mission is to help these students apply for, afford, and succeed in college. In 2016, their efforts resulted in 698 students attending college, with 97% of them on track to graduate. However, the organization faced a challenge in efficiently managing and responding to student feedback. They used an online feedback form via Gravity Forms to stay in touch with students' needs and gauge how well ScholarMatch was meeting their expectations. However, the process of sorting, viewing, and responding to this feedback was time-consuming and inefficient. The team needed a solution that would allow them to quickly and effectively process student feedback, enabling them to improve their services and support more students.

The Hollywood studio produces high-quality family entertainment through the use of computer-generated (CG) animation. The company’s world-class creative talent and technological capabilities, allow it to deliver great stories, breathtaking visual imagery and a sensibility that appeals to both children and adults. However, the amount of computer time required to render animated films grows with each technological improvement. As such, HPC in the form of massive computer grids is a critical technology in CG film-making. The studio’s latest blockbuster, a children’s film required the equivalent of over 17 million processor-hours of computing time on some of the world’s fastest commercially available processors.

Accern, a firm that believes in the power of data and AI, was facing a significant challenge. The development of an AI model typically takes an IT team 12 to 18 months, with 80% of a data scientist’s time spent on finding, cleaning, and reorganizing data. Accern's no-code AI allows users to deploy and customize pre-trained financial services models to extract insights from a vast amount of unstructured data more accurately and efficiently. However, Accern found themselves limited in the customization they could offer customers. They lacked self-service access to data visualizations and were restricted to the single dashboard provided to them. This limitation was hindering their mission to empower customers with data and was a barrier to their growth and customer satisfaction.