AI service
Custom AI development
We design and build artificial intelligence solutions tailored to your processes, data and tools when an off-the-shelf solution does not fit or falls short.
- AI solutions designed for a specific process, product or need.
- Pilot development to prove value before investing in a full solution.
- Integration with the company's applications, data, APIs and internal systems.
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Generative AI
Summaries, replies, assistants and content generation
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RAG
Assistants connected to documents and internal knowledge
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AI APIs
Integration with external models and services
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Automation
Smart workflows connected to your systems
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Software
Development and integration in apps and products
What we build
Custom AI when you need more than a generic tool
Not every case can be solved with ChatGPT, Copilot or a simple automation. Sometimes you need to design your own solution that understands your data, your rules and the way your business works.
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Solutions designed for your case
We build AI tools tailored to specific processes, not generic demos that are hard to use day to day.
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AI connected to your data
We create assistants, search engines or answer systems that work with documents, knowledge bases and internal data.
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Integration with existing software
The solution can connect to internal applications, CRM, ERP, APIs, databases or the tools you already use.
Use cases
When custom AI development makes sense
Custom development makes sense when the use case matters to the business, happens often or needs to connect to your own data and systems.
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Assistants with your own knowledge
We build assistants that answer using the company's documentation, procedures, manuals, FAQs or knowledge bases, with visible sources and clear limits.
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Smart classification
Systems that classify requests, documents, messages or incidents according to your own criteria.
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Decision support
Tools that help analyse information, summarise scenarios or prepare recommendations for review.
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Your own tools for key processes
We build internal solutions, AI modules or features inside existing products to solve specific business tasks.
The goal is not to build AI for its own sake, but to develop a solution that fits the process and can be measured.
Method
First we prove it is useful. Then we build the solution.
A custom AI solution should start with a simple question: what problem does it solve, and how will we know whether it is worth investing more?
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Define the use case
We pin down the problem, the users, the available data, the risks and the expected outcome.
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Build a prototype
We build a first working version to test with real data, real users and human review.
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Integrate and evolve
If the pilot works, we connect it to internal systems and improve it with metrics, security and maintenance.
Do you need a custom AI solution?
Tell us which process, product or problem you want to improve. We will help you decide whether to use an existing tool, automate something simple or build your own solution.