How We Think
Meaningful and lasting change requires a holistic approach to improving all that touches your customers, employees, and your brand. Transforming your business starts with transforming your processes – to realize results your journey will take you through Adoption, Evolution, Scaling, then Thriving.
Years of Experience
Offices in Five Continents
Clients Around the World
Customer Satisfaction Is Our Priority
“Royal Cyber went above and beyond to help us, which was a key factor in going live with our new site on time. Royal Cyber was always looking for ways to help us achieve our goals, and also offered us a route to purchase new software licenses to help reduce our operational costs.”
Senior Director Digital Experience, Augusta Sportswear
Experience & Innovation in a Single Touch
Awards & Recognition
Document analysis is one of the critical areas of digital transformation. In the wake of 2020, companies have been spurred to digitize content. While a high volume of digital documents is available, companies find it challenging to leverage this documentation due to its unstructured nature. Thus, valuable insights from documents can go undetected. However, intelligent document analysis has become possible with machine learning (ML), and natural language processing (NLP) advances. Companies can now leverage technology for data classification, data extraction, summarization, sentiment analysis, etc. With a projected value of over $12 billion by 2027, document analytics will intensify in industries that handle large quantities of documentation like healthcare, insurance, and banking.
Artificial Intelligence and Data Analytics are the two fastest growing technologies today, with a projected CAGR of 38.1% and 13.2%, respectively. However, it is fast becoming common wisdom that both these technologies can achieve new heights when combined. Augmented analytics is a term used to refer to today’s enterprises’ tendency to combine data analytics with machine learning, natural language processing, and AI. This combination helps develop automated data preparation and analysis solutions, thus reducing the workloads for data scientists significantly. Furthermore, creating a unified data and artificial intelligence platform yields the following benefits:
Digital Transformation is the go-to-market strategy for every organization. As more and more organizations are moving into the API economy and becoming API providers, it is boosting the exposure and consumption of the APIs. This, in return, increases the developers and their communities. Businesses have realized that it is all about the ecosystem, creating partnerships, and providing API integrations that will enable the API developers, to expose assets via APIs and to unlock the value of business assets by quickly creating APIs from existing data and services.
Lack of the right tools to support business integration causes unnecessary complications in many firms. The success of a firm depends on its ability to connect seamlessly with its clients.