Softinox.com

To create success & happiness for our customers & employees with our passion for technology while creating high growth opportunity of fulfilling employment thus serving humanity. Businesses fail to apply Software & machine learning (ML) to produce bottom line business value. In fact, only 15% of models end up in use in day-to-day business. Wow right? We have set out to solve for this industry problem. ‍ ML is not "new science", it has been in practice since the 1940s. What is new, is operating this technology at scale in today's dynamic and demanding technology landscape. Organizations fail to put machine learning into practice due to the challenges of "operationalizing" the models. 9/10 businesses lack best-in-class cloud architecture and are void of an operating model for ML. This is critical to integrate and scale the technology in applicable business settings. To be successful at ML you need to develop MLOps capabilities — that is, combine best-in-class cloud infrastructure, best practices, and an operating model for your team. This is where we shine. We see MLOps as a solution that solves for people, technology, and businesses challenges that arise with machine learning. People — MLOps introduces a cultural shift from an over reliance and emphasis on data science to adopting a model that sees data science, ML engineering, and cloud architects working together seamlessly to ship models along a pipeline to production. What makes this possible is the right cloud architecture. Technology — your cloud should be designed with a set of best practices and provide teams with automation in tricky areas of ML at scale like maintaining quality and adapting to changes in data. Now leaders must capitalize on these capabilities. Business — MLOps enables businesses to evolve to be multi-model, multi-product machine learning organizations. Machine learning can bring innovation into all aspects of the business, your competitive advantage. Along with Software Development & MLOps, "Zagroo" supports our customers in the areas complementary to Software Development & MLOps, that are the Technology and data platforms—Web App Development, Mobile App Development, ERP, ingestion, processing, data lakes, warehousing, and analytics.