Chief AI Officer as a Service
Our Chief AI Officer as a Service offering provides you with a Senior Executive Advisor who steers your organization's AI strategy, governance, and risk management on an advisory basis.
Our service areas
An overview of the fields in which we support mid-sized companies with digital transformation.
Mathematical Models & Digital Twins
We model technical and physical processes mathematically and build digital twins that depict your real systems as accurately as your use case requires. This lets you predict behavior, detect deviations early, measure latent variables, and make decisions on a sound model basis.
Mathematical Modeling
We develop first-principles models, numerical simulations, and hybrid approaches that combine physical expertise with measurement data. For example, simulating thermal processes, fluid flows, or biochemical reactions to predict system behavior.
Digital Twins
We connect your models to live data from sensors, machines, and operational systems to create a continuously updated virtual representation of your plant or product. For example, testing new operating parameters on the twin before you change real production, avoiding downtime and failed attempts.
Measuring Latent Variables
Latent variables are quantities that cannot be measured directly in the real world. On the digital twin, we vary model parameters and check whether the resulting measurable quantities match your real-world observations. When they align, you obtain a meaningful estimate of the latent parameters. For example, in logistics or marketing, where market or consumer behavior can be modeled even though the underlying parameters cannot be measured directly.
Artificial intelligence
We help you find where AI can be applied in your organization. Depending on the area, different applications may be relevant.
Automation
We automate routine business processes.
For example, replacing manual retyping of data from PDFs into your ERP system.
Data and analysis
We structure and analyze your company data so you can make decisions on solid ground.
For example, a semantic search engine over technical manuals and service reports that returns precise passages to technicians during troubleshooting.
Agentic systems
We build autonomous software agents that work through complex task chains on their own.
For example, a sales assistant that, before a customer visit, pulls together recent news, financial filings, and social activity for the target company and produces a structured briefing document.
AI in software and systems
We help your organization use large language models productively across the full software lifecycle.
- For example, building custom skills and fine-tuning pipelines so domain knowledge is usable where you need it.
- For example, using LLMs to port legacy code efficiently and add self-healing behavior where it makes sense.
Machine Learning & Data Analytics
We turn your raw data into clear insights and predictive models. We create the data foundation to automate and improve your decision-making.
Audio & Image Processing
We automatically analyze acoustic and visual data.
For example, anomaly detection of defective components in production.
Business Intelligence
We centralize information from various systems and create tailored dashboards for every level of your company.
Predictive Maintenance
We develop models that predict future events and wear based on historical data.
For example, forecasting machine failures to prevent costly production downtime.
Anomaly Detection
We train algorithms that automatically identify unusual patterns in large datasets.
For example, detecting unusual deviations in financial data.