Lynx Analytics | About Us

Our Mission

Driving business impact for our clients and make the world a better place through cutting edge analytics. On this journey, we will be thought leaders and change agents, and we will develop and apply the most innovative technologies, including big graphs.

Our Story

The Initial Spark

Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Our founding purpose? To apply graph theory to simplify and solve complex, real-world business problems.

We've evolved that mission over the years, and currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then, graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.

These businesses had access to large amounts of raw customer data. However, they lacked the appropriate tools, techniques and knowhow to derive actionable insights that could fuel better and more effective commercial strategies. We saw an opening in the market, and founded Lynx Analytics to plug this gap.

A Focus on Graph Theory

While we've always deployed relevant AI methods to achieve the maximum commercial impact, we continued to further incorporate graph AI and graph analytics into our projects and carry out R&D. This approach has enabled us to attract best-in-class talent across the R&D and business application fields, and we regularly welcome new team members who join us from top companies that rank among the world's best employers. This is a testament to the unique niche that we occupy through our integration of holistic analytics, thought leadership and business impact.

Evolution & Transformation

Initially, Lynx Analytics began as solely a consulting outfit. By applying graph theory to analyse a company’s transactional and customer data, we helped them uncover hidden patterns and connections within their networks and unravel and understand the interactions between their communities. They could then use these insights to optimise commercial decisions related to factors including – but not limited to – marketing, pricing, acquisition, cross-selling and churn.

But we quickly realised that many of our clients did not have the right technology to fully implement our solutions. And we were unable to find a third-party vendor that provided the adequate tools required for the job.

Given our dissatisfaction with the options available on the market, we did what any enterprising company would do: we invented our own.

Introducing Products

For our first software product, LynxKite, we fused our understanding of graph theory with other data analysis techniques to create a complete graph analytics engine. By expanding beyond our initial focus of graph theory, we leveraged our wider data science expertise, which enabled us to offer our clients the comprehensive suite of services they required to take complete advantage of our insights. We decided to open source LynxKite in 2020, thus allowing the wider community to adopt and implement the software to gain important insights through the use of these graph methods.

Indeed, we believe that it is our client-first approach that sets us apart. Rather than design our products in a vacuum, we work closely with our customers to create personalised solutions that are grounded in addressing their unique needs. This is how we built our Customer Happiness Index (CHI) – an advanced predictive analytics platform that uses AI and machine learning techniques to help businesses make smarter decisions related to the overall customer experience.

Lynx Analytics Today

Today, Lynx Analytics operates globally. We provide innovative consulting and software services to leading companies in industries including banking, telecommunications, retail and life sciences. By harnessing our expertise in graph theory, AI and data science, our clients are able to predict and improve their business outcomes – such as customer experience, sales effectiveness and customer lifetime value – through the power of data analytics.