Our mission

We build bespoke solutions in causal analytics, data science, machine learning, optimization, and AI to help companies analyze their data assets and uncover hidden trends, opportunities, and threats.

About Clear Cusalytics

Our founder

Dr. Boris Houenou, a visionary economist and technologist, graduate of Harvard University, realized the untapped potential of data analytics and causal inference during his work with leading institutions. Determined to empower organizations in emerging markets and beyond, he embarked on a mission to transform decision-making processes through cutting-edge data science, optimization, and AI solutions. Now, with a focus on increasing value, efficiency, and growth, Dr. Houenou helps businesses harness the full power of data to drive meaningful change and innovation.

Our story

Clear Causalytics began with a singular vision: to revolutionize how organizations globally use data to make more informed, impactful decisions. What started as a project rooted in our founder's passion for causal analytics and optimization soon grew into a thriving venture. Driven by his deep expertise in economics, statistics, data science, and decision sciences, Dr. Houenou expanded his team, enabling the company to tackle complex projects across big data, machine learning, and AI.

Today, Clear Causalytics works with esteemed organizations globally, helping them not only make sense of massive data but also transform it into actionable insights that drive growth, efficiency, and sustainable impact.

At Clear Causalytics, we believe in your success and the power of causal analytics. We help you unlock insights from big data, driving strategic decisions and measurable results, no matter your industry.

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117

Qualified employees

Not only is our team full of professionals – we're a fun bunch, too.

Projects delivered

Last year, we successfully completed over 100 individual projects worldwide.

Key industries

We have specialist experience in a handful of industries.

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Our Man Power

Decision Scientists

Our in-house decision scientists take a hands-on approach, emphasizing clear, actionable insights and close collaboration with clients. We focus on turning complex data into strategic decisions that drive measurable impact.

Data Engineers

All of our data engineers and data scientists come from top-tier US institutions, including Harvard, MIT, and Stanford. Each team member undergoes rigorous, in-house training to ensure they are equipped with the latest industry skills and best practices, enabling them to deliver innovative, data-driven solutions tailored to your business needs.

Causal ML Experts

Our causal ML experts are top trained PhDs specialize in uncovering true drivers of outcomes through advanced machine learning techniques. Collaborating with other specialists, we deliver data-driven insights that optimize decision-making and enhance project performance.

Consultants

All of our consultants have specialist experience in the field of data science, and aim to understand the data needs of your business.

Why choose us?

Global experience

We have worked with multinational companies, as well as smaller businesses from all continents.

We believe in your success and that big data can help you achieve the best results for your business, regardless of your field or target market.

Quality for value

Our motto is to provide only the highest quality to our clients, no matter the circumstances.

Client centric

Each project we work on is tailored to the particular client's exact needs, not the other way around.

High standards

We take data seriously, meaning that we only deliver work that we can be proud of.

Happy clients

Don’t just take our word for it—our clients keep coming back, partnering with us on future projects to tap into the power of data insights.

Boris Houenou

I work in agricultural consulting, meaning that we often need to use big and complex datasets to justify expensive investments for our clients. Lilo's consultants helped us see the big picture with their visualization tools and expertise.

Hannah Aya

As the in-house supplier manager, it's sometimes had to understand which manufacturers work best for our needs. Lilo's data analysis helped us identify where we could save and which manufacturers worked the best for us in the long term.

Contact us

Whether you have a request, a query, or want to work with us, use the form below to get in touch with our team.