We think big, but start small.
We quickly build customized Proof of Concepts to test the technical feasibility of your use case and validate the business case.
We build reliable AI applications that are engineered for scale. We embrace MLOps as the way to build with robustness and security from the start.
We help your run solutions at scale with ease! Once the solution is up, we offer a detailed knowledge handover and keep expertise available to provide third line support.
Machine learning algorithms related to image and video processing. Common use cases are image classification, object detection and segmentation, video analysis, and image generation.
Machine learning algorithms related to natural language processing. Common use cases are speech recognition, knowledge extraction and even text generation.
Machine learning algorithms operating on tabular data sets. Common use cases are time series forecasting, anomaly detection, clustering, and planning optimization.
This research area focuses on how to deploy machine learning models into a production environment. This includes technical areas such as model serving and automation, but also focuses heavily on best practices for ML development such as MLOps.
The software architecture research focuses on building high quality software solutions on Google Cloud with an emphasis on security, performance and maintainability. This includes technical areas such as security tooling and infrastructure as code , but also focuses heavily on best practices such as code reviews and DevOps.
We closely monitor and test AI tools and methods and track these in our Tech Radar so you don't have to.
Our insights and experience allow us to select the most effective technology stack for your business problem. We specifically love open-source technology to avoid vendor lock-in for our clients.
We strongly believe in a cloud-first approach to delivering our solutions and have developed deep expertise on GCP. We’re proud to be an official Google Cloud Partner, and have over 40 certified architects and data engineers.
We focus on measurable outcomes to ensure our projects generate a significant impact on your business. They allow us to define and measure success early to convince internal stakeholders or pivot when needed.
A highly skilled cross-functional team of ML6 agents will work with you to solve your business case, ensuring end-to-end agile delivery with focus on qualitative and effective co-creation. Each project team has the backing of our expert chapters, which can be involved at any time to offer you the right expertise at the right moment.