Solutions for AI and
Machine Learning
We help companies to solve hard and complex problems in machine learning and AI. From prototype to deployment. Development, research and expert consulting.
Tools we use
Prototype. Develop. Deploy.
Solving hard algorithmic problems
We analyze your problem and find the proper mathematical framework and machine learning model to it. Examples: Probabilistic models, neural networks or statistics.
Building prototypes
Once a framework is found, a prototype will be implemented and tested as Proof of Concepts (PoC).
Multi-GPU training on large-scale data sets
Using GPU machines we will train or fine-tune the model on customer data sets.
Push for accuracy
As the next step we push the model for accuracy. For example we collect and prepare more data for the task. It could be annotated data for supervised learning or unannotated data for unsupervised learning.
Optimize for speed and model size
We optimize the model for speed and model size in order to meet cost-efficiency, speed requirements and ability to deploy on various hardware architectures.
Deploy to Cloud, On-Prem or On-Device
The model can be deployed to the Cloud or on-prem using CPU or GPU in a scalable way. On the other hand, we can also provide on-device optimization for special hardware such as programmable chips (FPGA), embedded systems or smartphones.
Apply Machine Learning.
Image and Video Generation
Use generative AI (genAI) to easily produce images and videos for your use case. Advertising material and social media posts are popular examples. Generating interactive video games is an emerging use case.
Computer Vision
Apply computer vision for different use cases: Image classification, object detection, image segmentation, image restoration, depth estimation, image caption generation, multi-object tracking.
Optical Character Recognition (OCR)
Recognize text in scanned documents, images or outdoor scenes in many languages. Go beyond standard text: Tables, charts, mathematical or molecular formulas, musical scores, and geometric shapes.
Data Analysis, Statistics and Visualization
Analyze structured data such as time series or data in databases. Predict trends (predictive models), find anomalies (fraud detection, predictive maintenance). Other use cases: Visualization (dashboard, reports), clustering, regression, classification and statistics.
Discover New Materials
Trial-and-error or other computational methods are very time consuming to find material candidates with desired properties. With AI models we accelerate materials discovery by effectively exploring the chemical space.
Biotech and Genomics
Unlock critical insights in biotech and genomics by accelerating drug development and discovery. Through advanced bioinformatics, such as DNA, RNA, and proteomics data analysis, along with statistical genetics and biostatistics, we pave the way for new therapeutics and personalized medicine.
Plan. Develop. Research.
Roadmap
We analyze your AI and machine learning needs to propose a tailored plan, defining project milestones and deliverables. This strategy guides you from concept to implementation, ensuring alignment with your business goals.
Development
We integrate, fine-tune and train models to meet your requirements. This includes data preparation, algorithm selection, and model implementation. Further, we optimize the resulting model for performance, accuracy, and scalability on your chosen infrastructure.
Research
We develop innovative models and algorithms, staying at the fore-front of AI and machine learning advancements. Through experiments and validations, we ensure our solutions are effective and state-of-the-art, providing a competitive edge for your projects.
Build great AI applications
Contact us and explain your AI needs.
Get a first free introduction meeting, how we can solve your task.