AI consulting and implementation for companies
We implement artificial intelligence applied to real business problems: assistants and RAG over your corporate documentation, prediction and classification models, computer vision applied to industry and robotics, and intelligent automation. We choose the right technology for each case —not generative AI for everything— and integrate it into your systems.
The problem
A lot of "AI" is hype or over-engineering: using GPT for tasks an RPA or a supervised model solves better. The result: high cost and low reliability.
What we do
- RAG (Retrieval-Augmented Generation) to "chat" with your documentation, with an ETL behind it that makes it reliable.
- Prediction and classification models (sales, demand, anomaly detection).
- Custom NLP and deep learning when the case justifies it.
- Computer vision applied to industry and robotics: inspection, quality control, defect detection and robot guidance.
- Judgement: we choose the minimal solution that solves the problem.
Technologies
Python · PyTorch · Transformers · Computer vision (OpenCV) · RAG · RPA · LLMs.
Who it's for
Companies that want measurable results with AI and don't want to get lost in endless pilots.
Success story
NLP detection and classification with transformer models for a client in the education/research sector.
Frequently asked questions
- Generative AI or classic automation?
- It depends. For mechanical tasks, RPA. For simple classifications, supervised models. We reserve generative AI for where it truly adds value.
- Is my data safe?
- We design with privacy by default and private deployment options.
- Is this eligible for grants?
- In many cases yes, via SPRI AI grants and Kit Digital.