SERVICES
AI Consulting for Businesses
AI Consulting for Businesses
At torck, AI consulting means we assess where AI delivers measurable benefits in industry and commerce, and develop the solution all the way through to implementation. torck was founded in 2017 and is headquartered in Maxhütte-Haidhof near Regensburg. We also have offices in Vienna and Rabat, Morocco. Wherever AI makes financial sense, we implement it. If it doesn’t make financial sense for your specific situation, we’ll tell you so.
AI Services
AI Services
Business AI implements generative AI in your company and guides you through the initial steps.
Local AI and On-Premises LLMs run language models on their own hardware when they don't want data to leave the premises.
RAG Knowledge Systems combine corporate knowledge from documents and systems with a language model so that answers are based on these sources.
AI Agents and Process Automation They perform specific tasks in legacy systems, with defined permissions and logs.
AI Assistants and Chatbots answer questions based on your own content.
Document Processing with AI reads and sorts receipts, contracts, and forms.
Computer Vision in Manufacturing analyzes images from test benches and production lines.
Sales Forecast and Predictive Maintenance calculate future demand and machine conditions based on your data.
AI Integration integrates models into Microsoft 365, Azure, SAP, and your existing systems.
Data Platforms and Data Engineering create the database on which AI applications run.
The following helps with choosing a model: LLM Finder with VRAM calculator, which shows which model size fits which GPU.
AI STRATEGY
AI Strategy and Use Case Evaluation
We review your processes and data and evaluate specific use cases: benefits, effort, risk, and dependencies. You’ll receive a prioritized list, including cases where a script or process change is more cost-effective than a model. For us, an AI strategy is a working document that outlines decisions.
If running your own language model is on the table, the memory requirement belongs in the same calculation. Which model size, quantisation and context length fit a given GPU is shown by our LLM Finder with VRAM calculator.
AI APPLICATIONS
Developing and Integrating AI Applications
We develop AI applications that integrate seamlessly into your existing systems, from data connectivity to rights management. Examples of our work include automated document processing and anomaly detection in machine data. Here’s what that looks like in practice: Jouvoli, our solution for AI-powered load forecasting.
Here's how we do it
1. Assessment: fixed scope, fixed outcome
We analyze processes, data, and the system landscape. The result is a prioritized list of use cases with clear recommendations: implement, postpone, or drop.
2. Pilot: real data, defined metrics
We implement the most promising case using real data and evaluate it based on predefined metrics. If it fails, you'll know within weeks, not a year.
3. Rollout: Integration Instead of a Siloed Solution
We implement what has proven effective: integration into existing systems, monitoring, and user support. Upon request, we also provide operation and further development.
Why AI Projects Fail in Practice
Whether an AI project succeeds is usually decided before the first line of code is written. The typical reasons for failure: There is no clearly defined use case. The necessary data is scattered across legacy systems. The pilot works in testing but never makes it into production. Or employees weren’t involved and end up ignoring the tool. All of this can be avoided if it’s clarified before the project starts. That’s exactly where our work begins.
Handover and Operation
torck documents the solution and hands it over to the specialist departments and IT. On request, torck also takes over operation and further development.
We work according to proven standards and expertise
A portion of our technical certifications and credentials are maintained through the individual accreditations of our specialists.
Frequently Asked Questions About AI Consulting
That depends on the scope. The assessment has a fixed scope so that the initial costs can be planned. We’ll provide a specific price after a free initial consultation. At the end of the assessment, you’ll receive a list of use cases with recommendations. We’ll use this as the basis for calculating the costs of the pilot and rollout, and you’ll make a new decision after each phase.
Custom models, such as forecasting or anomaly detection, require your own data, as their quality depends on it. For many applications using pre-trained language models, such as document processing or assistive tools, existing documents and processes are sufficient. We’ll determine what you already have and what’s missing during the assessment.
We are not tied to any single provider. Depending on the situation, we use large language models via APIs, in-house open-source models, or traditional machine learning. In our day-to-day development work, we use coding agents such as Claude Code. We also provide justification for our choice of tool to your IT department.
We start with a free initial consultation lasting about an hour. You describe your situation, and we’ll be upfront about whether we see potential. This is followed by an assessment with a defined scope. It examines processes and data and concludes with a ranked list of use cases. You then decide whether to proceed with a pilot.
The AI Regulation (EU) 2024/1689 classifies AI systems by risk and sets out obligations for providers and operators. The GDPR (Regulation (EU) 2016/679) governs the handling of personal data. We document data flows to ensure that requirements remain technically feasible. This article lists laws and regulations to help contextualize technical decisions. It does not constitute legal advice. Please consult your legal department or a law firm to determine whether and how a regulation applies to your company. The European Commission provides an overview.
Then let's say that. Even in that case, the assessment will still yield a useful result: a documented evaluation of your processes. It often reveals more cost-effective alternatives, such as automation without AI or a process change. Sometimes the recommendation is simply to leave things as they are.
From the blog
CONTACT
Let's talk about your case.
Let's talk about your case.
One hour, free of charge, no slide show. Bring us a process that’s taking up your time. We’ll tell you if AI can make a difference there.
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