Since 2000 we’ve provided insights and connected data to business results for clients across the globe. Overtime we have accumulated a powerful suite of advanced analytics products and services that fuse technology, data and analytics to give clients a competitive edge. We relentlessly transform how our clients make decisions.

Our Mission is Moving Forward

We help companies make better decisions every day. The Zylpe Decision Engineering Methodology is a proven, methodical approach that changes the way companies leverage their data. By building quantitative analytics based decisions and scalable solutions, our clients generate better outcome, faster every time. And see the results in their top and bottom line.
AI infused approaches with deep learning and new data architectures are providing new-directions in terms of what’s possible in the world of marketing, sales and customer analytics. This constant evolution lights our passion and drives us to new innovations.

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APPROACH Applying the Decision Science Approach


A powerful philosophy has become part of the DNA at Zylpe. There is the traditional way to approach analytics, and the Decision Engineering way, which upends the traditional thinking. The biggest difference is the result you get with Decision Analytics.
The role of analytics is evolving from providing insights to actively driving decisions. We take a holistic approach to provide quantified decision options based on your unique business situation. Explore more about the Zylpe Decision Engineering difference.

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ISO 27001: 2013 (Information Security Management)

Zylpe is an ISO 27001 certified-company. This means that our organization keeps information assets secure using our Information Security Management System (ISMS).

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At maturity level 2, Zylpe has achieved all specific and generic goals. This ensures that existing when these practices are in place, projects are performed and managed according to their documented plans.

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POC Trials/Projects in 6 to 12 Weeks

Zylpe IoT provides Proof of Concept (POC Trials) of the Zylpe IoT Applications, Zylpe IoT Platform, and Zylpe Enterprise Data Lake on AWS or Azure. Trials range in cost based on duration and include Zylpe IoT professional services and AWS or Azure infrastructure services.