Artificial intelligence & Data
Complete AI systems — OCR, computer vision, LLM, RAG, specialized models — integrated into your information systems, not stuck in demo.
We build complete AI pipelines: document extraction (OCR), object detection (computer vision), classification, semantic search, specialized language models (RAG, fine-tuning). From prototype to production deployment — including on mobile and edge.
When your data stays silent
Untapped data
Paper documents, images and unstructured data sitting unused for lack of the right tools.
Repetitive manual tasks
Teams sorting, extracting and verifying information by hand — slowly and with errors.
What we build
Complete AI systems, from raw documents to actionable results.
OCR & document extraction
Automatic text and structured-data extraction from paper or scanned documents (PaddleOCR v5, Tesseract, Surya).
Computer vision & detection
Object detection, image classification and segmentation — including on-device mobile (YOLOv8n).
LLM & business assistants
Specialized language models (RAG, fine-tuning) for assistants that answer from your internal documentation.
Semantic search & matching
Embeddings, reranking and vector databases (Qdrant, pgvector) to find, classify and match documents by meaning.
Results, not demos
Data unlocked
Your documents and images become structured, searchable and actionable data.
Tasks automated
Repetitive sorting, extraction and verification tasks are automated.
Real deployment
No PoC that stays in demo: production deployment, including on mobile and edge.
Technologies involved
- PyTorch
- YOLOv8n
- PaddleOCR v5
- Hugging Face
- RAG
- Qdrant
- Fine-tuning
- GPU / CUDA
Use cases
- 01
Automatically extract data from invoices and delivery notes (OCR).
- 02
Detect defects on a production line using computer vision.
- 03
Build a specialized business assistant based on internal documentation (RAG).
- 04
Automate document classification with semantic search.
Frequently asked questions
Can you deploy AI on mobile or embedded devices?
Yes. We develop models optimized for on-device inference — YOLOv8n, PaddleOCR Mobile — that run directly on the phone or terminal, without a cloud connection.
Do you only use LLM APIs (OpenAI, etc.)?
No. We master the full chain: training, fine-tuning (LoRA/PEFT), RAG, embeddings, GPU deployment. LLM APIs are one tool among others, not our only skill.
How long does an AI project take?
It depends on scope. A working prototype (OCR, classification, RAG assistant) can ship in a few weeks. Production deployment takes more — scoping, data, testing and scale-up.