Maxis Technology, established in 2011, is dedicated to the development of enterprise data management software. Alchemize is our lead product and Maxis is the team that backs it. Founder, Steve Cornell has gone to great lengths to select and bring together a group of very talented individuals to work as a team. With diverse backgrounds, knowledge and experience, each person at Maxis contributes in their respective areas of speciality. All are dedicated to providing outstanding customer service as well as software that performs at the enterprise level.
Maxis historically operated as a consulting company offering services to improve the asset and operational performance of EAM systems. Working with diverse industries, Maxis developed an outstanding reputation as an expert in both functional and technical aspects of EAM software and the supporting database.
Clients repeatedly challenged us with the need to increase the performance of their systems and to improve reporting to translate data into reliable information. This client requirement led to the innovation and development of the enterprise solution, Alchemize, the data tool that tempts the boundaries of artificial intelligence.
The future looks bright for Alchemize to act as the cornerstone from which Maxis will continue developing for the enterprise, expanding beyond EAM applications. Strategically pivoting toward offering Alchemize to the enterprise, Maxis will focus on developing alliances with Partners to provide, who have unique/specialized skills, an opportunity to gain a competitive advantage, increase margins and/or expand into new markets without concern of competition from Maxis. Most importantly, Alchemize will provide our partners the power to solve their customer data challenges with efficient precision accuracy.
It is with confidence that Maxis Technology expands the development of Alchemize for the enterprise. It is with conviction that Maxis seeks to develop new relationships. Together, Maxis and our Partners will thrive as we provide solutions to today’s data management challenges.