Unlock business value with AI solutions

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Why Us

We are your external
machine learning department

Leading AI
Knowledge

We know how to bring ideas from research to practice and how to navigate the pitfalls of commercialisation.

Strong Engineering
Expertise

Thanks to our exciting brand and set-up, we attract the best machine learning engineers, researchers, and AI entrepreneurs.

Deep Industry
Experience

Our team leaders focus on sector-specific projects, utilising their deep industry knowledge and experience.

Download our free white paper on AI in sales

What We Do

We ideate and develop innovative
AI solutions for your company

Ready-Made Solutions

Chose from a collection of ready-made, tested and continuously updated solutions for your business.

Custom Projects

We create custom projects to fit your specific business needs, from ideation to testing and integration.
Who We Work With

We empower clients
in all industries

We have worked with partners across sectors and industries, from SMEs to DAX-listed companies.
While we have a strong presence in the DACH area, we also have a proven track record with companies
located in the rest of Europe and beyond.
Industries

AI solutions tailored to different industries

Key Areas

We specialize in three key areas

Natural Language Processing (NLP) is a field of AI that gives machines the ability to read, understand and derive meaning from human languages. Applications range from smart document analysis and document routing, to customer review analysis.

Computer Vision (CV) is the field of AI that replicates complex human vision, enabling computers to identify and process objects in images and videos similar to the way that humans do. Applications include visual quality control, biopsy screenings, and space estimation.
Reinforcement Learning (RL) is the field of AI that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences. Applications include CNC milling.
Approach

We guide you through the whole
AI implementation process

01 Ideation

Understand the client’s needs
Identify use cases
Prioritise cases by impact and feasibility
Define a minimum viable product (MVP)

02 Prototyping

Support data acquisition and validation
Develop a solution that tests technical feasibility
Build a user interface if needed
Evaluate and recommend next steps

03 Scaling

Extend the system to a production-ready product
Integrate product into the workflow
Examine further extensions
Continuous updates and maintenance & support