Software development & AI
From hype to real business value – we integrate machine learning and large language models into your applications and automate repetitive tasks.
Understand documents semantically instead of maintaining templates – for example with our Document Data Extractor.
Turn data into actionable forecasts and recommendations.
Understand incoming requests, prioritise them and route them to the right place.
We integrate machine learning and LLMs deeply into your existing business applications to eliminate repetitive tasks. Whether intelligent data extraction, predictive analytics or automated customer communication – we turn your data into tangible competitive advantages.
Example: Your support team is drowning in emails and categorises tickets manually. An NLP model understands the content of incoming emails, detects sentiment, prioritises the ticket automatically and assigns it to the right person.
Not every process is suited for AI. With the pre-AI assessment we find out together where AI makes economic sense with manageable risk – and where the groundwork has to be laid first.
Assess the potential
With the AI check or the pre-AI assessment we find the processes where AI pays off.
Build a prototype
A proof of concept with your real data shows how well the solution works.
Integrate
The solution is connected to your systems – via APIs or the Frends integration platform.
Operate and improve
Measure quality, have people review uncertain cases and keep improving the system.
AI models do not have to run in someone else’s cloud. Depending on how sensitive your data is, we use models in European data centres or run them in your own infrastructure.
For automated document processing we rely on our Document Data Extractor: it understands invoices, receipts and forms regardless of layout and language and delivers structured data – in the cloud or on premises.
Incoming orders and their e-mail attachments are captured, structured and created as orders in the ERP system automatically – with a live dashboard and human in the loop.
Read the storyA tailor-made AI document extractor automates order intake – from the order as a PDF, scan or photo to the finished EDI file in the central IT backend.
Read the storyYour question is not listed? Get in touch directly: Contact
Above all in recurring processes with lots of data and manual, rule-based steps – for example in document processing, customer service or order handling. Our AI check gives a first impression; the pre-AI assessment provides a sound evaluation.
Not necessarily. Models can run in European data centres or in your own infrastructure. The Document Data Extractor, for example, is also available as a Docker container for your data centre.
AI makes mistakes – which is why we plan checks from the start. Results are validated against rules, uncertain cases go to people (human in the loop), and in operation we measure quality continuously.
The AI Act classifies AI systems by their risk. Many automations in companies fall into the low-risk category; applications in HR, for example, are subject to strict requirements, and chatbots must be recognisable as AI. We clarify early in the project how your use case is classified.
With a clearly defined use case. After the AI check or the pre-AI assessment, we build a prototype with your real data – so you see the benefit before investing on a larger scale.
November 9 – 12, 2026CCIB – Centre de Convencions Internacional de Barcelona, Barcelona
Gartner's conference for CIOs and IT executives in Barcelona – with research, sessions and an expo on IT strategy, AI and technology.
Your structured introduction to artificial intelligence – we assess your processes against 30 criteria and show where AI creates value economically and with manageable risk.
Custom software that understands business – web and mobile apps, cloud-native backends and system integration, from analysis to operations.
Whether it is a first idea, a running project or an existing system landscape: we listen, put things into context and show you concrete next steps.
Your contacts: Christian, Tobias and Michael – the founders of AmberTech Solutions.
