Data delivery teams

Cape AI delivery teams help organizations develop data science solutions. Based on your project requirements, we put together a tailored team with the right data science / engineering skills.

We can assist you with complete teams managed by us or an individual data consultant that expands your internal team.

We have consultants working in The Netherlands and South Africa. Many of our client engagements are fully remote.

Data scientist

Analytical mindset with solid skills in statistics, math & machine learning

Programming & DevOps experience: Python, C++, Git

Extensive practical experience in one of our focus areas



Language modelling
Text classification
Named entity recognition
Chatbots & question answering
Knowledge graphs



Image classification
Object detection
Image & video analytics



Structured data
Predictive modeling
Supply chain optimization
Customer behaviour analytics
Scikit learn

Read more about CV Read more about NLP
Data engineer

Experience with data systems: Kafka, DWH, Graph databases, (no)SQL, Spark etc.

Programming & DevOps experience: Python, C++, VMs, Docker etc.

Experience with MLaaS: GCP AutoML, Azure MLOps, AWS Sagemaker etc.

Extensive practical experience with one of our cloud partners (Azure, AWS, GCP)

Delivery lead

Experience with roadmap creation

Experience with data strategy & machine learning models in production

Experience with managing agile teams

Product management experience


The process

We always deliver a tailored solution. To us, a data solution is only ready when it's deployed to production and creates business value.


We would love to hear more about your challenges and ambitions. During this conversation we'll explain our way of working.

Exploration study (optional)

For a fixed price (for 1-4 weeks), we can help you better define your problem by interrogating the data and interviewing stakeholders.


We can often start within a month and are very flexible with hiring terms. We guarantee the best possible quality.

Working remotely -effective and secure.

We can work with you on premises in The Netherlands, Cape Town, Stellenbosch or Johannesburg, but many of our projects are (partially) remote. We have extensive experience managing remote projects effectively and securely, in your cloud and according to your IT security protocols. Our team members can work with your team in VR (requires a VR device).
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What our clients say


“It is an absolute pleasure working with the Cape AI team. They are very hands-on, and really spend time to understand the details of your requirements or the business side of the problem you are trying to solve. They immerse themselves in the work and take ownership of the solution. They have delivered quality work, and I would recommend them, from top management to the consultants on the ground, to any company looking for data work to be done.”

Daniele Joubert,
Client Experience Specialist

Capitec is the second largest retail bank in South Africa


“We have had a very positive experience with Cape AI. They have been instrumental in the development of the Advanced Analytics capability within Distell. The consultants assigned to Distell have become part of the team and their knowledge and experience have had a profound impact on our own team’s development. They are innovators who value a partnership with their clients which leads to successful implementation of use cases.”

Eugene Ras,
Head Data & Analytics

Distell is a multinational brewing and beverage company


“We are very happy with our collaboration with Cape AI. Together we are researching an AI based solution to support healthcare professionals. We've established a great team spirit where we effectively combine our health tech and Cape AI's data science expertise. Their professional and knowledgeable team is a pleasure to work with and they have an open, energetic and strategic approach.”

Marjolein Elderhorst,
Manager Digital Innovation

Leiden University Medical Center is a collaboration between the academic hospital and the University of Leiden (The Netherlands)


“It was a pleasure working with the Cape AI team. An analysis of unstructured data can be challenging yet Cape AI are certainly experts in their field and was fast to deliver quality work and make practical and actionable suggestions to help us to move our business forward.”

Peter Castleden,
CEO Sanlam Indie

Sanlam Indie is part of Sanlam, the largest insurance company in Africa


“Cape AI has done an amazing job in providing us a better understanding and insight in the predictability of delivery times based on big data. They are a very knowledgeable group of data scientists with a clear and practical outcome-based approach to projects. It’s a great team to work and would recommend them to any company in need of AI/big data solutions.”

Lars Veul,

Pargo, a smart logistics company, is one of nine finalists at the prestigious FNB Business Innovation Awards


“The collaboration with Cape AI enables us to develop computer vision algorithms that support first responders, inspection companies and other drone operators. Cape AI not only decreases our development lead time but also offers real value for money.”

Stephan van Vuren,

Airhub is a Dutch scale-up that safely and efficiently integrates drones into the workspace of enterprises.

In Dutch

“Een prettige partij om mee samen te werken, waarbij laagdrempelig een eerste duik kan worden gemaakt in AI. De mogelijkheden binnen Cape AI zijn divers en met een beperkt budget heb je al snel een goede exploratie voor elkaar.”

Dick van de Ven,
Product developer

The Vencomatic Group is a global leader in poultry farming, offering a full range of innovative systems for equipping modern farms all over the world.

Example case with Leiden University Medical Center (NLD)

"Together with CAIRElab and Cloud Technology Solutions we’re developing an AI-based solution that supports healthcare professionals with their administrative tasks.

We’re combining expert knowledge from the NLP and medical fields to automate transcribing and summarising consultations. This enables the doctor to focus on patients during consultations, freeing up additional time to spend on others.

The project has potential to relieve administrative time allocation by healthcare professionals, hence delivering an efficiency and quality boost".

Speech-to-text, Summarization, Knowledge graphs

Curious about what we can do for you?

We look forward to hearing from you and exploring what we can realize together!