HR Tech Startup EdGE Networks In The Deloitte Technology Fast 50 India 2016 Winner List

EdGE Networks, a Bangalore-based HR tech startup today announced that it has been awarded the Technology Fast 50 India 2016 awards by Deloitte. The company offers Artificial Intelligence and Data Science enabled solutions to solve workforce-related challenges, showed 228% of revenue growth over the last three years as mentioned by the Deloitte Fast 50 list.

The Deloitte Technology Fast 50 India recognises and encourages those businesses striving forward with remarkable revenue growth rates using their technology, innovations, and quality of human resources. The aim of the awards is to honour the leading businesses which focus on the market segments with huge growth potential.

EdGE Networks was also one of the two winners to receive the MIDAS & Deloitte Tech Fast 50 Award. MIDAS, Manchester’s inward investment agency in collaboration with Deloitte Fast 50 identifies the top performing companies in India’s flourishing IT industry. Winners are entitled to establish their operations in Manchester, United Kingdom with all required support and services.

Arjun Pratap, founder and CEO of EdGE Networks says, “It is a matter of great pride for the entire team at EdGE Networks to be part of the Deloitte Technology Fast 50 rankings. Our growth story reflects our commitment to innovation and working with cutting-edge technologies – and the confidence of enterprises in our solutions, to build the workforces of tomorrow. Winning the MIDAS award has added to our excitement!"

EdGE Networks Pvt. Ltd. is a nextgen HR technology solutions provider focused on helping organizations meet their talent-related challenges. With our expertise in Artificial Intelligence, Semantic Analysis, Data Science, Machine Learning and Predictive Modelling, we enable HR organizations to lead with data and intelligence. Our solutions significantly improve workforce availability, billing, allocation and drive straight bottom line impacts.

HR-Tech Startup EdGE Networks Listed in Gartner Hype Cycle for Human Capital Management Software 2016

Bangalore-based EdGE Networks, an HR Tech startup offering next-gen workforce planning solutions, today announced that it has been listed as a Sample Vendor for Machine Learning HCM in Gartner’s latest report on Hype Cycle for Human Capital Management Software, 2016.

Gartner’s current report is aimed to help “buyers understand the maturity and capabilities of technologies in the human capital management (HCM) marketplace, including talent management, workforce management (WFM), HR service delivery and administrative human resources (HR).”

The report states that “Talent science," renamed "machine learning in HCM" to reflect the growing use of machine learning capabilities within HCM applications and stand-alone apps, continues to have the potential not only to transform HCM practices but to fundamentally alter how organizations operate.” Gartner adds “Vendors are emerging with solutions but time is still needed to prove their impact. HR organizations need to start by piloting solutions.”

Arjun Pratap, founder and CEO of EdGE Networks said, “HCM Solutions are redefining employee-workplace dynamics significantly. Our objective is to help organizations facilitate workplace transformations, aided by our technology. We believe our inclusion in the Hype Cycle for HCM Software, 2016 report by Gartner is a testimony that we are headed in the right direction.”

In the report Gartner states that by 2020, its “expects SaaS to be contributing over $7.3 billion or 51% of the global HCM market spend compared to $3.7 billion or 34% to the market in 2016.”

About EdGE Networks

EdGE Networks Pvt. Ltd. is an innovative HR technology solutions provider focused on helping organizations meet their talent-related challenges. With our expertise in Artificial Intelligence, Semantic Analysis, Data Science, Machine Learning and Predictive Modelling, we enable HR organizations to lead with data and intelligence. Our solutions significantly improve workforce availability, billing, allocation and drive straight bottom line impacts.