Artificial intelligence is valuable when it solves a real problem: time lost on manual tasks, data nobody uses, requests that repeat every day. We build AI, Machine Learning and LLM solutions integrated into the systems you already use: assistants that answer with your content, automations that eliminate repetitive work, reports and files generated from your data in seconds.
Business software assistant
Connected to company data
Done: 42 employees, 6,812 hours in total.
XLShours-worked-october.xlsx
5 people, all approved. I grouped them by department.
3 items: the M6 screws run out in 6 days.
XLSwarehouse-stock.xlsx
Four ways AI fits into the processes you already have, without changing the way you work.
Assistants for customers and internal teams built on the best language models, trained on your content to answer correctly and in your company's tone.
Workflows that read documents, route requests and update your systems on their own. Fewer manual tasks, fewer errors, faster responses.
Machine Learning models that anticipate demand, consumption, failures and behavior, turning your historical data into operational decisions.
Classification, extraction and summarization of large volumes of data and documents. Reports, recaps and Excel files ready when you ask for them.
We start from the problem, not the technology.
AI makes sense when there is a measurable business goal: hours of manual work to win back, data nobody uses, recurring requests. That's where we start: we choose the right model, train it on your processes and integrate it into your product or business software, with attention to privacy, security and running costs.
Anthropic's Claude, OpenAI's ChatGPT, Google's Gemini: the latest language models are now powerful enough to become part of real business processes. We integrate them into the business software you already use, without replacing it, to cut time and streamline workflows and give you more control over your processes.
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Requests that cost hours of manual work today become a question in natural language, with an immediate answer.
On-demand reports, recaps and checks on the data you already have. Hours worked, time off, inventory, jobs.
We choose the most suitable language model and train it on your content so it answers correctly.
SwipeApp Studio orchestrates these tools to build something innovative, inside the processes you already use.
Claude
Anthropic - reasoning and agents
ChatGPT
OpenAI - generation and automation
Gemini
Google - multimodal and search
For YCMC we implemented and trained an AI algorithm that, using the camera and the power of LLMs, recognizes whether a garment is damaged or dirty and determines whether it can be returned to the store. An engine that turns a simple photo into an automatic quality assessment.
YCMC · Your Closet My Closet
Language
Models
Applications
It depends on the problem, not the technology: if your team loses hours on repetitive tasks, if the data in your business software goes unused or if the same requests come back every day, AI almost always delivers a measurable return. In the free first conversation we analyze your processes and tell you honestly whether and where it pays off.
Yes. Together we choose where the models run (European cloud or dedicated infrastructure), which data they can see and how it is stored, in compliance with the GDPR. Your data is not used to train third-party models.
Yes: website, app, WhatsApp, email or internal tools such as CRM and business software. The chatbot is trained on your content and connected to your systems, so it answers with real, up-to-date information, not generic replies.
It helps, but it's not a prerequisite: the data you already collect in your business software, Excel sheets or company documents is often enough. You can even start without historical data: the solution improves as the data grows.
The first conversation is free: together we'll figure out whether and how we can help you.