Data-Driven Operational Efficiency

Photo by Phil Botha on Unsplash


Interactions with customers, internal applications, workflows, and cloud-based services generate data on an ongoing basis. Machine learning methods, including AI, can be used to generate new information that is needed from the information one has. Applying the possibilities of machine learning to business and service processes leads to the next level of operational efficiency, i.e. data-driven operational efficiency.

We help our customers to accelerate their journey to operational efficiency using data, statistics, and machine learning. 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.

Management and Strategy

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-driven operational efficiency in search of performance improvements, business or product innovation. We explore business needs and identify potential use cases. Together with reverse ag, we have developed a one day workshop based on an intuitive methodology.
Download the flyer: Discover & Design with Data — 1 day Workshop


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.

Consulting and Coaching

Ideal for customers who want to get a validated opinion on their infrastructure considerations and evaluation of cloud architectures.


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.

Document Understanding

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).

Image Recognition

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.


Advertising Video Analytics

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
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Insurance Claims Automation

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.

IoT sensor-to-analytics pipeline

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.

Photo by Louis Reed on Unsplash

Pharma Analytics Dashboard

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.

Community Flash Flood Prediction

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.

About Us

The Team


Founder & CEO

Data Scientist
Applied Statistics
Project and Program Management


Founder & CTO

Google Cloud Certified Professional Cloud Architect, Google Cloud Certified Professional Data Engineer, Google Cloud Certified Associate Cloud Engineer



Data oriented business strategy
Organisation network and people analytics



Business Development
Data Engineering
Project and Program Management



Data Scientist
Machine Learning. Statistics. Programming



Data Scientist
Advanced analytics, AI product design, data visualisation


Together with our strategic partner Panter, we provide services from engineering cloud architectures around AI models to building end-to-end solutions on the Google Cloud.

Together with Google Cloud, we help our customers build scalable, reliable, and secure solutions.

Contact Us

Quantworks AG
Sihlquai 131
CH-8005 Zürich

A Proud Panter Partner