Our Passion is your Success

Unleash the power of your data, generate transformative insights, optimize processes, and enhance your ROI with enterprise data analytics.

Create data stories, generate actionable insights, and transform your everyday work with data-driven decision-making. Experience unprecedented growth and revenue by implementing advanced analytics across the enterprise. Optimize your processes, enhance customer experience, and discover new opportunities. Empower your business users by enabling them to utilize machine learning and what-if analysis in their day-to-day work. Gain a competitive advantage, drive innovation, induce collaboration, and encourage data culture by providing interactive predictive analytics to everyone with Intellicus’ scalable business intelligence platform.

01
Improve customer integrations

Aggregate structured, semi- and unstructured data from touch points your customer has with the company to gain a 360-degree view of your customer’s behavior and motivations for improved tailored marketing. Data sources can include social media, sensors, mobile devices, sentiment and call log data.t.

02
Detect and mitigate
fraud

Monitor transactions in real time, proactively recognizing those abnormal patterns and behaviors indicating fraudulent activity. Using the power of big data along with predictive/prescriptive analytics and comparison of historical and transactional data helps companies predict and mitigate fraud.

03
Drive supply chain efficiencies

Gather and analyze big data to determine how products are reaching their destination, identifying inefficiencies and where costs and time can be saved. Sensors, logs and transactional data can help track critical information from the warehouse to the destination.

History of Big Data

Although the concept of big data itself is relatively new, the origins of large data sets go back to the 1960s and ‘70s when the world of data was just getting started with the first data centers and the development of the relational database.

Around 2005, people began to realize just how much data users generated through Facebook, YouTube, and other online services. Hadoop (an open-source framework created specifically to store and analyze big data sets) was developed that same year. NoSQL also began to gain popularity during this time.

The development of open-source frameworks, such as Hadoop (and more recently, Spark) was essential for the growth of big data because they make big data easier to work with and cheaper to store. In the years since then, the volume of big data has skyrocketed. Users are still generating huge amounts of data—but it’s not just humans who are doing it.

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With the advent of the Internet of Things (IoT), more objects and devices are connected to the internet, gathering data on customer usage patterns and product performance. The emergence of Machine Learning has produced still more data.

About Us

Established in 2011, Kenisis are a managed services and proven uncomplicated technical solutions for over across the country.

At Kenisis, our team of innovators and whiz in technology and design analysis bring adroitness to every project. Our Professionals are dedicated to B2B and B2C Artificial Intelligence, Machine Learning, Kubernetes, DevOps, Big Data, and Software Development projects.

Our Services

For more than a decade, we have helped clients establish, ramp-up, and maintain successful remote development teams. Our success does not come by itself – it is rooted in a tested and tried methodology and going the extra mile.

Full Stack development

kubernetes
big data
Artificial intelligence

MACHINE LEARNING

“Self-driving cars will enable car-sharing even in spread-out suburbs. A car will come to you just when you need it. And when you are done with it, the car will just drive away, so you won’t even have to look for parking.”
Sebastian thrun
“The coming era of Artificial Intelligence will not be the era of war, but be the era of deep compassion, non-violence, and love.”
amit ray