It is imperative to automate tasks in a business environment if one wants to derive the best insights to make key decisions. The world of analytics has grown by leaps and bounds in the last few years with the entry of Artificial Intelligence and Machine Learning. By adding Artificial Intelligence and Machine Learning Models to one’s system, there is a lot of value to be added. It will result in freeing up resources to dedicate to other aspects of business that need human presence.
Our experienced Data Scientists create custom models to empower our clients with rapid end-to-end business automation, whether it is Text, Images, Video or Audio.
Our teams can work with the latest industry platforms such as Azure AI, AWS ML services and many others to develop the best solution there is to offer.
We deliver training sets as a service both with our inhouse platform and with market available platforms.
"Mobius cloud-based Web Extraction Platform (Mobito as PaaS) enabled our regulatory compliance platform to ingest relevant content from multitude of public sources seamlessly to complete the KYC process, which otherwise would be a time-consuming process to manually visit the various sources to obtain this information for the users of our platform. Mobito is integrated with our regulatory compliance platform through rest API and responds with results in a minute.."
“Throughout the project implementation, Mobius’ specialists demonstrated a high level of professionalism, delivered well-timed responses, displayed flexibility and abilities to adapt to changing conditions, no matter whether those came from the colleges’ feedback or from events beyond anyone’s control. Despite the constraints presented by the COVID-19 pandemic, the projects were completed in time. In fact, WebMIS has successfully passed its first practical test when the first college submitted all required data for the reporting academic year. Colleges noted the system’s convenience, accuracy, automated features, detailed feedback related to data errors, and flexible format of accepted data."