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 augments your internal team.
We have consultants working in The Netherlands and South Africa. Many of our client engagements are fully remote.
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
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)
Experience with roadmap creation
Experience with data strategy & machine learning models in production
Experience with managing agile teams
Product management experience
We would love to hear more about your challenges and ambitions. During this conversation we'll explain our way of working.
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.
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).
Video source: Spatial.io
"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".