We guide you through the entire process to bring ML / AI into your products: Selecting the appropriate ML algorithm, implementing a data strategy and making the ML algorithm work for your product.
Do you need to automate document workflows, search information across your company’s knowledge base, or support decision-making processes? We design and deliver solutions based on large language models (LLMs) - from prototype to production.
Convolutional Neural Networks, Reinforcement Learning, Apriori Algorithm or NLP? Supervised learning or unsupervised learning?
Machine Learning offers a wide range of options, so our experts will take up your specific requirements, discuss prerequisites to optimize accuracy in prediction/analysis (e.g. good light conditions for pictures) and define a technical approach to put your idea of a ML-based product or business model to practice.
Be it predictive maintenance (for a machine part) or anomaly detection in a production line (based on cameras): We need we to collect data, convert it, feed it into the ML-processing unit (in real-time) and process it.
We will provide you advise on big data handling, storage (if required), treatment of sensitive data (e.g. anonymization, pseudonymisation) and hardware requirements.
We can draw on ample expertise in computer vision of video stream and picture processing. With a dense network of partners for computer vision, labelling and more we are your execution partner of choice to add ML to your products or automate your workflow.
Smaller projects may implement anomaly detection in a production line, which requires training of a neural network with sample pictures of anomalies. Bigger projects may require A/B testing for camera positioning and/or light conditions as well as an algorithm for selecting pictures with best characteristics for high accuracy rates.
If a workflow follows a certain pattern or can be classified as a routine task, then automation is within reach. We will analyze available data and determine accuracy rates for workflow automation, we will suggest a data strategy to improve results.
Using predictive methods allows us to suggest optimal decisions, which optimizes the outcome of any given decision: Be it machine utilization, timing for maintenance (predictive maintenance) or energy management of electrical devices.
Speech-to-text, Text-to-speech, speaker recognition, Sentiment analysis: You need this in English, German, Polish or French? You need these services based on Cloud Computing or at the edge?
We will provide you an overview of the possibilities and limits for NLP-based features for your software. You have many options and we’ll help you select the appropriate one as well as implement your ideas into your product or in your workflow.
We have ample expertise with data from sources such as wearables, sensors in cars or data streams from AR glasses. At the same time we have experts on connectivity ranging from Bluetooth, 4G, Ethernet and more. We know how to minimize latency and manage huge data streams, e.g. HD video streams from AR glasses.We will also guide you to chose the IoT Cloud Platforms that is most suitable for your needs and your budget: be it Azure IoT, Mindsphere, Teamviewer IoT or Cumulocity.
SECURE ENTERPRISE AI KNOWLEDGE ASSISTANT
For organisations dealing with sensitive information, adopting AI cannot mean compromising security. Every internal query touches confidential knowledge, governed by strict compliance rules and access policies. What if every team member could ask a question about internal processes, documents or systems — and receive an accurate, policy‑compliant answer in seconds, without exposing data to external providers? That’s exactly the problem our Virtual Assistant solves: a secure, enterprise‑ready AI layer that lets teams use the full power of their internal knowledge without ever losing control over their data.
MACHINE LEARNING–BASED CONSTRUCTION COST CALCULATIONS
Our client company is a major player in the building trade. For each RfP they get a requirements spezification (GAEB format) between 500 and 5 000 item lines. Some items require long-standing engineering skills, others require using standard building material.
We have trained an ML-algorithm with thousands of RfP-items and building material selections. Result: Engineers can calculate projects much faster, stay easily within submitting deadlines and can optimize offerings thanks to that gain in time.
KEY APPLICATION FUNCTIONALITY
