Custom AI Systems
We build the solution, from rapid prototype to production deployment.
- Custom RAG — Finnish-optimized retrieval
- LLM Agents — production-ready agentic systems
- Machine Learning — full-spectrum ML solutions
Founding thesis
Modern software development is not in adding AI to a workflow, but questioning why the workflow exists.
Tachion's core rests on two realizations: 1) with modern AI, small teams can deliver rapid results without compromising on quality. 2) The best approach to implementing AI technologies is that of scientific exploration instead of traditional software development.
Having a background in research along with deep experience in consulting and Data Science, Tachion was founded to serve the needs of those who wish to quickly explore in practice what current state-of-the-art AI is capable of.
Three ways to move the work forward: a system built for you, guidance for your team, or work made autonomous.
We build the solution, from rapid prototype to production deployment.
We help your team work with AI effectively. Tools without structure produce slop; we bring the methodology for structuring workflows, understanding what works, and evaluating new tools.
We make things automatic that previously weren't possible: systems that do work autonomously, not just tools you operate.
A closer look at the orchestration layer behind our production agents is coming soon.
“We're not here to sell you AI; we're here to solve your problem.”
Speed is leverage: the faster we deliver, the faster we improve.
Process should serve the work, not become the work.
Tight collaboration beats big reveals.
We tell you when the project feels unfeasible.
Real outcomes. Verified by partners.
Tachion's speed of delivery was quite exceptional: From day one their focus was on what matters, the outcome. We had a working prototype in three days and a fully viable product in three weeks after the kickoff. New features were continuously demoed and refined according to our feedback, resulting in a product meeting all our expectations.
Quantifiable track record
Refers to website rebuilds.
Two years ago
2 monthsOne year ago
WeeksToday
3 days