Shravani Dase's Contact Details

Shravani Dase's Company Details

Numantra Technologies

Mumbai, Maharashtra, India • 201 - 500 Employees
Information Technology and Services

Hyperautomation is the approach through which organizations can identify, analyze, implement and scale the automation and digitization of business & IT processes. Hyperautomation rapidly automates multiple IT processes through a disciplined approach. It enables the orchestration of multiple tools and technologies such as Process Mining, RPA, Machine Learning/AI and Business Intelligence & Analytics to deliver the future of knowledge work and business operations at large.NuMantra SaaS - It's a "new mantra" of automation, machine learning, AI, and analytics.Built with open-source technologies, our cloud native platform offers a cost-effective solution that caters to small, medium, or large enterprises. Low code development empowers users to imagine better business outcomes and implement complex solutions. NuMantra SaaS comes with sophisticated machine learning & AI capabilities that offer user driven selection, analysis, and deployment of the best model, enabling the true evolution of the "Citizen Data Scientist".Most companies bring in RPA way too early in the game. When combined with anticipatory process mining & streamlining, RPA strategy enables the mature, sustainable operational excellence enterprises need to stay competitive.AI to harness data from anywhereNuMantra enables companies to generate coherent & timely data from internal & external (social media) sources using machine learning and other advanced technologies. Then we apply intelligent analytics to help you unlock every opportunity.BUILT FOR DEVELOPMENTUsing tools like containers (Docker and Kubernetes), the platform enables a rapid and secure build, test, and deployment process for different applications.BUILT FOR ENTERPRISEWith a cloud native platform, users break free from traditional operating systems or database version challenges. Easily scale to compute large data sets (Big Data) for machine learning and handle data storage (like Amazon S3 data lakes) for analytics.