About
Why work with us?
With APE Innovation GmbH, you have experts on your side that you can trust.
Our consultation approach builds on integrity and agile collaboration that keeps projects moving.
Together, we bring innovation to life!
AI Consulting & Talent Placement
Portfolio
how we can help you
courses
Whether you are an education provider looking for a partner to deliver high-quality content, or an employer wanting to upskill your teams, we have got you covered.
fixed price: on request
Workshops
By involving us early, you gain clarity, confidence, and a sound basis for decision-making. Together, we assess your current situation and determine what is needed to realize your project.
fixed price: on request
Project Advisory
We support your project by joining key meetings, conducting on-demand research, quickly clarifying technical questions, and preparing information to aid decision-making.
hourly rate: 130€ (net)
Portfolio
how we can help you
Feasibility Studies
Prototyping
Educational Services
Recruiting Talent
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
Application Examples
of computer vision
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
Our Partners and References
Start-ups, Industry, Education
Selected Research
Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification
Daria Kern, Tobias Schiele, Ulrich Klauck, Winfred Ingabire
Low-shot Visual Anomaly Detection with Multimodal Large Language Models
Tobias Schiele, Daria Kern, Anjali DeSilva, Ulrich Klauck
3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review
Daria Kern and Andre Mastmeyer
Comparison of deep learning-based image segmentation methods for the detection of voids in X-ray images of microelectronic components
Tobias Schiele et al.
2D vs. 3D U-Net abdominal organ segmentation in CT data using organ bounds
Daria Kern, Ulrich Klauck, Timo Ropinski, André Mastmeyer