Your data has a story to tell.

Kalinax is a big data agency offering all-things-data services with strong expertise in machine learning, predictive analytics, business intelligence, reporting and automation.

Since 2016, we build data science from our offices in Lisbon, Portugal and our home-grown community of experts. We are home to some of the most exceptional data scientists in Europe and Latin America.

Our mission is to bring together the world's greatest data scientists and the world's most innovative organisations.

We nurture data and business savvy talent that is turns every challenge into success for you business. 

All our services are tailor-made around your specific needs and objectives.

Since 2016, we have been builiding our utopia for data science lovers, one data set at a time.

$50 - $99 / hr
2 - 9
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Lisbon, Portugal
  • Avenida Praia da Vitoria 75
    Lisbon, Lisboa 1050183


Room prize optimization Image

Room prize optimization

Challenge An international hotel group which uses custom-built as well as turnkey solutions to manage bookings, promotions and pricing commissioned Kalinax to look into historical data across key locations and identify any potentially missed opportunities. The analysis looked at different room types and whether promotions were applied. Our Solution Kalinax examined series of
internal and external indicators and KPIs and built models that calculate the optimal price of each booking. Then, the models compare this optimal price to actual and predicted bookings and indicates optimization opportunities. The business can make specific changes which target combinations of product and locations where the impact of a change would be greatest. Key features Tailor-made models which calculate booking characteristics specific to the location, seasonality and room type.

Projections of the estimated impact of missed opportunities.
Revenue & conversion predictive analytics Image

Revenue & conversion predictive analytics

Challenge A logistic company, present in more than 90 countries was challenged to predict business revenue and profit in advance, so that it could make longer term investment decisions with more confidence. An added-value would be if location-specific projections were available. Our Solution Kalinax examined 5 years of history of bookings and revenue data and built customized models
which predict the likely revenue in the next year - where and when will the demand, booking and revenue hit. This enables the business to adjust strategy and make data-driven decisions on investment and planning. Key features Predictive models which provide location specific insights.

Revenue projections that span up to one year ahead (at >85% confidence).
Predictive analytics for customer churn Image

Predictive analytics for customer churn

Challenge An e-commerce company running a subscription-based business faced the issue of having too many cancellations. Kalinax was commissioned to examine available data and help understand why customers were unsubscribing from the product and also build a model which helps the business reduce the number of cancellations. Our Solution Kalinax examined 5 years of history of
subscriptions and cancellations and then built models which identified those customers that are at higher risk of cancellation. The business could examine the risk of churn per location or product type, as well as over time. The models also provided insight on which key factors had most influence on cancellations. Key features Tailor-made models which provide location'specific insights.

Key risk factor breakdown and number of users at high risk of cancellation.
Macroeconomic analysis with predictive analytics Image

Macroeconomic analysis with predictive analytics

Challenge A multinational manufacturer struggling to predict demand in Argentina commissioned Kalinax to develop models that can help management better forecast demand and adjust operations as well as strategic decisions. Our Solution Kalinax built models based on historical company data as well as macroeconomic indicators which had an impact on demand in the country. The results were packaged in
a visual solution, and coupled with a macroeconomic analysis every three months. Key features Interactive dashboard which provide industry specific insights.

External KPIs such as prospect of main trading partners and linked industries such as construction.


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Big Data Consulting for International Logistics Company

"They’re a dynamic, young company that’s ahead of the data science curve."

Willing to refer: 
The Project
Jun. 2014 - Jan. 2019
Project summary: 

Through trialing, piloting, and testing, Kalinax helped a multinational logistics services company to enable a greater understanding of their data, ultimately leading to changes in business decisions. 

The Reviewer
5001-10000 Employees
Amsterdam, Netherlands
Director of Intelligence, International Logistics Company
The Review
Feedback summary: 

Kalinax offered extremely accurate business predictions, averaging at least 10% above industry norms, and ultimately improved internal business processes. Stakeholders are extremely pleased with the engagement, noting the high level of passion and engagement the team brought to the project.

A Clutch analyst personally interviewed this client over the phone. Below is an edited transcript.


Introduce your business and what you do there.

I’m the former intelligence director for a multinational logistics services company. My role included driving innovation across the four business units of the company through partnerships with other science agencies and leveraging technology and database tools.


What challenge were you trying to address with Kalinax?

The company had a long history and a lot of data to go along with that history. We needed support leveraging, structuring, and ultimately making sense of that data so we could provide leadership with actionable insights.


What was the scope of their involvement?

Kalinax’s responsibility was to consult on how to handle and analyze our available data. They primarily helped us to predict the likelihood of future events in regard to customer activity, including points like when we could expect spikes and troughs of new volume. These predictions were made from a large dataset that was entered into prediction engines and algorithms built off them.

What is the team composition?

Kolyo (Founder & CEO) was our main point of contact. Behind the scenes, we also worked with data analysts and scientists, who were responsible for building the algorithms and developing visualization applications.

What is the status of this engagement?

The engagement lasted from June 2014–January 2019.


What evidence can you share that demonstrates the impact of the engagement? 

Kalinax added a great deal of internal value to our company. The accuracy of the predictions the team gave was incredibly high — at least 10% above industry norms. We even celebrated some of their early findings in various publications.

Ultimately, their work brought enlightenment and a different perspective within the company and helped drive the business forward effectively.

Overall, the engagement was very positive, demonstrating the quality of both their leadership and their broader workforce. They’re a dynamic, young company that’s ahead of the data science curve both in terms of the applications they work with and the caliber of their deliverables. 

How did Kalinax perform from a project management standpoint?

Kalinax is a highly energetic, motivated, and approachable team. They’re committed and results-driven, taking the time to meet with key decision-makers to understand the needs, pains, and objectives of our business. 

Throughout the project, the team kept in close contact and followed a good schedule in terms of progress and milestone reviews, as well as internal updates. They worked on our internal project management program, which allows for a combination of instant messaging, email, and web meetings.

What did you find most impressive about them?

The passion Kalinax brought to the project was the best part of our engagement. They calibrated extremely well with our internal team, making the collaboration feel more like a partnership than a typical client-vendor relationship.

Are there any areas they could improve?

No. Working with Kalinax was a highlight of my time with the company.

Do you have any advice for potential customers?

Take the time to get to know the individuals on Kalinax’s team. Also, define the terms of work early on, like communication approach, milestone check-ins, and objectives.

Overall Score
  • 5.0 Scheduling
  • 5.0 Cost
    Value / within estimates
  • 5.0 Quality
    Service & deliverables
  • 5.0 NPS
    Willing to refer