Operational efficiency plays a substantial role in driving the growth and profitability of a company. Therefore, it is often a fundamental requirement and continuous effort for an organisation that wishes to succeed in today’s environment of change and challenge. We help our customers to accelerate their journey to operational excellence using machine learning and data science. Within each phase of a project, we provide service offerings that address customer needs based on where they are in their journey to reduce cost or improve performance.
With machine learning and specifically artificial intelligence (AI), we can transform workloads and processes from complicated rule-based approaches to efficient and robust methods. We support our clients with management consulting at any point in the AI journey, from strategy creation to management of data-driven approaches.
Ideal for customers who want to learn more about the application of data science in search of operational improvements. We explore business needs and identify potential use cases.
Ideal for customers to evaluate, plan, implement, and integrate a data-driven strategy aiming for reduced costs, improved processes or faster throughputs of critical corporate tasks. We build and deploy a bespoke solution as a PoC or MVP.
We provide AI-enabled solutions that are accelerators on the path towards a higher degree of automation. Since they are modular and customisable, they are very versatile and can be used in a variety of contexts.
Analyse and process documents at scale, e.g. to: make documents searchable (e.g. find all contracts between parties A and B); triage incoming e-mails based on content or sentiment (e.g. forward all technical inquiries to the help desk or prioritise complaints); automate document processing (e.g. transfer information from PDF forms into a database).
Identify and localise objects in images and videos, e.g. to: make photos and videos searchable based on content; count or track moving objects; create your own metrics of visibility of objects such as duration or size.
We have developed a solution for brand detection in sports videos or live broadcasts, allowing to determine the effective screen time of the sponsors.
The serverless cloud architecture behind this solution can analyse hundreds of video frames per second and is applicable to a wide range of use cases that require video analytics.Explore the solution
We were advisors to an insurance company developing an automated car claims settlement solution that estimates repair costs based on their customers’ pictures of a damaged car.
We assisted the data science team in the data exploration and model training phase on the Google Cloud and proposed an architecture on the Google Cloud for the deployment.
With our IoT sensor-to-analytics pipeline, your IoT sensor data are visualised and analysed easily, giving you instant insights.
Using IoT Core, Cloud Bigtable, and BigQuery, we built a highly scalable backend that can handle any number of devices and any type of sensor for any kind of use case.
For a consultancy firm in the pharmaceutical industry, we built the analytics backend of a web based dashboard for process optimisation in quality control labs.
We implemented a completely serverless solution for data processing, KPI calculation, and online analytics using Dataflow, Cloud Functions, and BigQuery.
We are developing an AI powered early warning system for flash floods that predicts an increasing flood risk as a consequence of heavy rain and thunderstorms.
Our vision is that regions with a high exposure to flash flood risks around the world have a “flash flood watchdog” that alerts emergency forces and the population of imminent danger and helps protecting communities and saving lives.
Project and Program Management