Learnings from our journey
Most companies struggle to properly prepare and structure their data, and to deploy AI, resulting in long and cumbersome PoCs, overhead inefficiencies, expensive and inappropiate computing setup.
Average time it takes for the majority of companies to properly train and deploy AI/ML models.
Average cost for the majority of companies to deploy their AI models at scale.
Average cloud cost wastage due to over-sized or idle hosting instances for AI models.
Average time wasted by data scientists on AI training inefficiencies and deployment issues.
Our core expertise, at your service
We can prevent your company from making the same mistakes. We can assist you in all of the different phases and aspects of your AI and Data projects.
We deploy our top engineers to (co-)develop AI solutions.
We bring our expertise to create a future-proof corporate AI strategy and we monitor the execution.
We use our extensive network and reach into academia to conduct and publish research on demand.
Data collection & control
Design and creation of data acquisition tools. Data versioning and control tools.
Development & Deployment
Analysis, design and deployment of machine learning applications and AI models. Deployment of models on web APIs, smartphones and other interfaces.
Optimization & Integration
Optimization and maintenance of existing applications and models. Integration of AI models into your current business environment and tools.
Leading workshops to pinpoint where AI, ML and Data is most relevant in your value chain and blueprint concrete AI and ML projects.
Evaluation, robustness testing and optimization of existing AI and ML algorithms.
Analysis and advice on your recruitment needs with complete evaluation of potential candidates.
We teach AI and ML to your teams and support them along their learning journey.
Getting started, quickly and with minimum investment
Ideate & analyze
A no-risk workshop to help you generate ideas and solutions around your data management and models.
up to 2 weeks
Build & test
A low-investment build sprint to set your data strategy while creating and testing AI models.
up to 3 weeks
Train & deploy
A production-ready MVP – on-premise or in the cloud – to train and deploy AI models.