Think of it as data-engineering-as-a-service. Feed new datasets into your data lake fast with almost no effort, so you can focus on what really adds value.
Get in touchHandle machine learning models from concept to production, all in the cloud. Maintain governance during training, monitor model drift in production and everything in-between. We call this MLOps.
Get in touchDeploy your software and models to devices running everywhere in the world. Manage the rollout, monitor your devices and stream global data back to your central infrastructure.
Get in touchDeliver amazing digital projects using our team of technology experts and their experience in cloud-native, data-driven products. Get in touch to discuss your project with us!
Get in touchFrom designing to building and launching, we help mobility companies build data-driven experiences that customers will love.
We always start from the outcome you're targeting. Technology and products are irrelevant until we can clearly define what you want to achieve and how your customers will experience the new solution. Our strategy workshops focus on the "why" of our project.
Our team of egineers and architects have built battle-tested full stack architectures for organisations ranging from small startups to large enterprises. We've worked on customer-facing products as well as the technology platforms underpinning those. Collaborating with your team, our experts will determine the best technology stack for your project, ensuring it meets your company's requirements for security, scalability and high availablity.
We help you assess and select the partnerships that will improve your delivery speed. We have the right know-how, experience and connections to advise you on the best technology, whether to build in-house or to buy, and how to negotiate agreements to ensure the success of your project.
We believe that better mobility will add value to the world, both socially and economically. We also think that, in order to deliver amazing mobility experiences for everyone, a data-driven approach and the infrastructure capable of supporting it are needed.
