Enterprise AI Architect. Builder. Product founder.
I'm Aleksander. Since 2017 I've been the person enterprise teams call when an AI initiative needs to survive contact with data, governance, evals, cost, and latency in production. The lessons from that work feed WHY AI - private-first AI products for teams that need control.
I'm not moving from consulting to products. I'm turning real enterprise AI lessons into products.
How I work.
Build > Talk
We ship working systems, not decks. Every framework here was shaped by real production incidents.
Your Data, Your Control
Local, cloud, or hybrid - your decision. Never sovereign-by-marketing.
Smarter from Use
Real systems learn from how teams actually use them - not from generic web scrapes.
Production-Grade from Day One
Evals, governance, monitoring, cost - designed in, not bolted on after a launch.
Pragmatism > Dogma
Local AI is a decision criterion, not a religion. So is fine-tuning. So is RAG.
Consulting feeds products. Products sharpen consulting.
Each engagement surfaces a pattern that becomes a building block in WHY AI. Each product surface gets stress-tested against real enterprise constraints before it ships. Neither side gets a generic-AI free pass.