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Systems Limited is a global leader of next generation IT services and BPO solutions. The company provides computing strategies and solutions to Government and Private Organizations. With over four decades of industry expertise, Systems Limited excels i...
Chef, Inc. provides cloud-based infrastructure automation solutions. It offers configuration management, a solution to manage complex infrastructure; cloud management that enables users to manage and scale cloud infrastructure with no downtime or interruptions, as well as build, destroy, and rebuild servers on public or private cloud; and DevOps, a solution for collaboration between development and operations. The company also provides Enterprise Chef that automates user infrastructure that accelerates time to market, helps users to manage scale and complexity, and safeguards their systems; and professional services that include planning, training and skill development, and project-based services. Chef, Inc. was formerly known as Chef, Inc. and changed its name to Opscode, Inc. in December 2013. The company was founded in 2008 and is based in Seattle, Washington.
Till is the fast-moving, Aussie-born, global fintech disruptor opening up a world of possibilities for businesses seeking simple, seamless, all-in-one payments. We take the complexity out of getting paid with single-source solutions that ensure merchants can accept any payment wherever and whenever their customers shop, be it online, in-store, or a combination of both. Organisations across a range of sectors, including FMCG, automotive, parking & transit, retail and hospitality, use our end-to-end smart and seamless payments experiences to support growth and enhance customer experiences. Founded in 2012, Till`s team of 100 staff is rapidly growing and headquartered in Australia, with teams in London, Manila and across the US. Till currently serves hundreds of merchants across 12 countries and over 500 cities.
Monolith AI is a company that provides AI software for engineering product development, allowing engineers to build self-learning models to predict design performance, test less, learn more, and develop better quality products faster.