Data and infrastructure audit
We assess source quality, current systems, measurable goals and success criteria.
AI and LLM systems
Practical automation for real business workflows
We implement intelligent assistants, RAG systems and autonomous agents directly in existing products and operations.
01
From audit to production
A structured integration process that reduces risk and proves value early.
Model selection and proof of concept
We compare suitable commercial and open models on representative product data.
RAG pipeline
Document ingestion, chunking, vector search, evaluation and domain-specific prompting.
Optimization
Accuracy evaluation, hallucination reduction and calibration for the required domain and tone.
Integration and deployment
Secure APIs for web, mobile, CRM or ERP, deployed in cloud or on-premise environments.
Monitoring and iteration
Production evaluation, feedback, drift detection and continuous improvement.
02
AI capabilities
Focused building blocks combined around the workflow, not around a demo.
LLM assistants
Context-aware, multilingual assistants integrated into customer and internal products.
Custom agents
Agents that research, analyze, generate reports and interact with approved external APIs.
RAG systems
Grounded answers over company documents and knowledge bases with measurable retrieval quality.
Computer vision
OCR, image recognition, object detection and document-processing workflows.
NLP and text analysis
Classification, entity extraction, summarization, sentiment and contextual translation.
Predictive analytics
Forecasting and decision support based on historical data and explicit evaluation.
03
In our own products
The patterns we offer clients already run in our own apps, used by real students and shoppers.
Rubric-based grading in Geografie BAC
Open answers, typed or photographed from a handwritten page, are graded against the official marking scheme, with points per requirement.
An AI nutritionist in BioBrief: Food Scanner
Geneva answers questions about scanned products by text or by voice, next to label analysis from a single photo.
Deck generation in FlashBac
PDFs, Word documents and photos become flashcard decks, scheduled with spaced repetition.
Model Context Protocol in Orbit MCP
A local macOS server that gives MCP-compatible AI clients access to Apple Notes, Reminders and Calendar, with no cloud account.
04
Trust and security
Controlled retention
Data handling and auditability are defined around the selected model and risk profile.
Access controls
Encryption, granular authorization, observability and auditable system boundaries.
On-premise options
Sensitive workloads can run within customer-managed infrastructure when required.
Turn a workflow into a useful AI product
Schedule a free 30-minute consultation and identify the safest high-value starting point.
Discuss an AI project