About SmartAI Labs

SmartAI Labs is an AI implementation consultancy based in Copenhagen, helping companies.

We build production-ready AI agent systems that solve operational problems like automating customer support, processing documents, or extracting intelligence from unstructured data.

Our approach is industry-agnostic: we focus on the problem, not the sector, and apply proven AI solutions from multiple domains.

Who We Are

SmartAI Labs is founded by Guillaume Picard, an AI Systems Architect and Data Scientist based in Copenhagen.

Almost a decade of experience building AI systems across industries at companies like Apple, Force Technology, and Electricity Maps. Now helping mid-market companies do the same.

Our Philosophy

We believe the future of AI isn't about who has the fanciest models. It's about who can identify the right problems to solve. Not every solution needs AI. And when it does, it needs to work reliably, not just impress in a demo.

The best AI solutions are the ones your team can understand, maintain, and improve long after we're gone.

That's what SmartAI Labs exists to do.

Technical Capabilities

Category	Technologies & Expertise
AI & ML Techniques	Traditional ML (PyTorch, sklearn), Computer Vision (OpenCV), GenAI & LLMs (Agentic AI, RAG), NLP, Time-series forecasting, Predictive modeling
Engineering & Infrastructure	Python, React, Angular, Node.js, FastAPI, Flask, SQL, Docker, CI/CD, AWS, GCP, Azure
AI Development Ecosystem	LangChain, MCP servers, Cursor, Claude, Ollama, Langfuse, Low-code platforms (n8n, Zapier, LangFlow, Stack AI, Lindy)
Domain Expertise	Cross-industry solutions, Digital twins, Full-stack AI implementation, Production-grade systems

AI & ML Techniques

Traditional ML (PyTorch, sklearn), Computer Vision (OpenCV), GenAI & LLMs (Agentic AI, RAG), NLP, Time-series forecasting, Predictive modeling

Engineering & Infrastructure

Python, React, Angular, Node.js, FastAPI, Flask, SQL, Docker, CI/CD, AWS, GCP, Azure

AI Development Ecosystem

LangChain, MCP servers, Cursor, Claude, Ollama, Langfuse, Low-code platforms (n8n, Zapier, LangFlow, Stack AI, Lindy)

Domain Expertise

Cross-industry solution adaptation, Digital twins, Full-stack AI implementation, Production-grade systems

How We Work

Our process adapts to your needs from quick strategy assessments
to complete system builds.

Strategy & Discovery

We assess your operations across data, people, process, and governance to identify
and prioritize top AI opportunities. You get ranked use cases with ROI analysis,
implementation roadmap, and technical feasibility. Then you decide if and when to build.

Full Implementation

For companies ready to build, we follow a structured approach:

Discovery: Understand the problem, validate the approach
Design & Prototype: Build a working version with real data
Build & Integrate: Develop the production system
Deploy & Train: Launch and ensure your team can use it

Timeline varies by complexity, typically a few months from start to finish.

Ongoing Support

Optional support available for companies that want help with performance
monitoring, or additional development after launch.

Based in Copenhagen, Denmark.

Serving mid-market companies.