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#DoingGoodThings

About

Why work with us?

 

With APE Innovation GmbH, you have computer vision experts on your side that you can trust. 

You invest in partners who not only know how to use ai, but have real experience building it. Working with us means access to PhD-level expertise combined with real-world experience in industry and tech startups.

Our consultation approach builds on integrity and agile collaboration that keeps projects moving.

Together, we bring innovation to life!

 

Our Portfolio

how we can help you

Feasibility Studies

Want to know whether your ai project is technically feasible?

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Prototyping

Ready to bring innovation to life with an early prototype?

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Educational Services

Seeking qualified specialists to teach a technical topic?

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Public Speaking

Looking for an expert presenter to engage your audience?

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Areas of Expertise

what we can help you with

Generative AI

ai consulting | multi agent systems | custom LLM workflows | retrieval-augmented generation (RAG) | ai tool selection | image & text generation | prompt engineering

Computer Vision

ai model training | object detection | semantic segmentation | instance segmentation | animal re-identification | anomaly detection | image classification | image processing | dataset creation

Research

state-of-the-art analysis | research proposals | literature review | partnerships | advisory boards | science communication | publication support | conference guidance

Computer Vision for

Conservation

Computer vision is transforming conservation by enabling efficient, non-invasive re-identification of individual animals from images (e.g. drone imagery, camera traps). Algorithms learn to recognize distinctive visual features, allowing individuals to be identified across encounters. This supports population monitoring of endangered species, movement tracking or behavioural studies.

Computer Vision for

Industry

AI-based image processing enables automated, non-destructive inspection and quality control across a wide range of industrial applications. Computer vision systems analyze images (e.g. X-ray, microscopy) to perform tasks such as weld seam and solder joint inspection, bottle fill-level checks, color control, microstructure and particle analysis, object counting, and anomaly detection.

Computer Vision for

Medical Imaging

Modern medicine increasingly benefits from artificial intelligence. Applications include computer-aided diagnosis (e.g. cancer screening), non-invasive disease localization (e.g. tumor detection), and the creation of digital patient models (e.g. organ segmentation). AI-based image analysis is applied to both 2D image data such as X-rays and 3D data such as volumetric CT scans.

We stand for integrity

The Team

trusted experts you can rely on

Tobias Schiele

"turn research into reality!"

>8 years of experience in artificial intelligence
PhD (submitted) in Deep Learning Transfer to Industry

Daria Kern

"make a positive impact!"

>7 years of experience in artificial intelligence
PhD (submitted) in Poultry Re-identification

Research Track Record

proven expertise

Our Partners

and references

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