We help you to see the future.

Welcome

Data-Driven Digital Product Development

We develop data driven digital products together with our customers from various industries e.g. insurance, finance, production, logistics, market research, health care and longevity advice.

By utilising the latest technologies such as AI / ML, data science and predictive modelling together with IoT, NLP, computer vision and VR /AR, we ensure first-class digital solutions totally tailored to our customers.

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What We Are Doing

From Ideation to MVP - Based on Data

We accompany our customers from USP detection and technical idea validation to eventstorming workshops, generating prototypes and UI design.

We develop a digital roadmap for the provision of the solution in order to structure your approach to digital innovation. That strengthens your position in discussions with investors and is an internal team guidance.

We underpin your value proposition and your customer journey with digital information structures and interactions, design a solution architecture and integrate it into your value production chain. Depending on the size of the project, we can work independently or involve your team members.

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Ideation Phase

The creativity in the ideation process lies less in the person of a designer than in the confrontation of the sales experience with the algorithmic possibilities. Hence instead of setting and planing a tactical or strategic busines goal, sales people need to collaborate with mathematicians to realise what customers are really interested in.

Technological Roadmap

We propose a complete technological stack orientated on scaleability requirements as well as time and budget limitations including recommendation of IT-frameworks and mathematical approaches to the data dependent problems, that we have identified in the planed product during the ideation phase.

Rapid Prototyping

Working in sprints and theirby meeting daily requirements to control our current working process, we fix issues as fast as we notice them, and make rapid phrase changes according to the test results of our customers. This helps us collecting evidence and testing different new product step hypotheses in order to get tracking early.

Flexible Project Management:

Kickoff and Discovery:

We develop ideas, the roadmap, define the resources needed and get started.

Fixed Price and Time and Materials:

Even though we still work in sprints, and are open to scope adjustments to assure flexibility for our clients. Long-term engagements with teams larger than 5-6 engineers are typically Time and Materials based, after an initial Fixed Price engagement period.

Sprint Delivery Cycles:

Building an MVP takes 3-6 months and short sprints make progress quickly visible. User feedback is gathered directly. Major technology decisions are made and deep tech capabilities are used. Finally we hand over the MVP.

Our Services

Automization and Algorithmic Learning for Digital Use Cases

Frequently companies from various industries want to change or extend there business models or they plan to open new business units e.g. in other countries based on their former experiences.

In all these cases already existing data can be used to get more control over all the related processes, to minimize the corresponding risk and to maximize the efficiency. Data-driven learning, automization and the generation of digital twins always play a crucial role in all such contexts.

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Internet of Things :

The almost linear increasing complexity of social and economic phenomena is a challenge and a chance for all of us. One of the chances emerge from the interconnection of embedded devices via the internet, enabling them to send and receive data, for that allows us to reduce the complexity of dealing with sets of objects of increasing complexity: And the automization of the IoT is the key to harvest all of these advantages.

Computer vision and VR / AR :

Under certain conditions the performance of the autonomous mind is not only constituted by internal factors, but also by factors external to the system: We sometimes off-load cognitive work onto the environment, making the environment hold or even manipulate information for us, and we harvest that information only on a need-to-know basis. And by using VR / AR we allow algorithms with their tremendous abilities to do the same with us.

Data Science / Predictive Modelling :

Extracting information from historical data using data mining methods allows to generate quantitative insights in real worlds problem e.g. by model-driven regression or deep learning. Translating such insights e.g. to decision tree models minimizes future business risks and optimizes business outcomes.

Machine Learning, NLP and AI :

ML-algorithms allows to draw conclusions algorithmically from the insights provided by data science as a first step to more sophisticated technologies like e.g. Generative AI or Causal Reasoning. These methods can be considered as enablers for a bunch of new types of business cases.