01

We build the whole AI system

Decades of software. Models on our own hardware. We will say if you should not build one.

02

About us

The status quo of the current AI system landscape is about throwing money at a problem in the hopes that it will get fixed, and if it does not, taking out a cannon filled with money and firing another salvo.

We believe that is very bad.

For this reason, our primary focus when building systems is: does it even make sense in your case to make one? What kind of costs would you expect? What about data privacy? And can it even be done with sustainable maintenance costs that will not explode in a year or two and pull down your whole business flow?

We have internalized these questions deeply in the way we do business.

We fully realize that strapping ourselves to the rocket of hype that is the AI wave would make more money, but that is not the right thing to do and neither is it sustainable.

We are not afraid to say how it is, even at the risk of losing a potential business partner or customer, and we bank on the future that when the use case that does make sense shows up for you and your business, you will remember us.

03

What we have actually built

  • Software, for a long time.

    Decades of building software. AI is one part of that work.

  • The whole stack.

    We have hosted models on our own hardware, from the machine through to the product. Calling someone else’s API is the easy part of the job.

  • More than chat.

    Computer vision as well as language models. The right system is often not an LLM.

04

Showcase

Two products we built, run and sell ourselves.

  • SwitchRoute

    Most prompts do not need the frontier.

    An OpenAI-compatible LLM router. Each request goes to the cheapest model tier that can still do the job, across OpenAI, Anthropic and Google. Teams switch by changing a base URL and a key, and pay nothing when it routes wrong.

    Visit switchroute.dev →

  • Quizketball

    A quiz you answer by throwing a ball.

    A physical quiz game with three baskets, one per answer. Hosts write their own questions, and we rent it out by the day and deliver it anywhere in Latvia.

    Visit quizketball.com →

05

An example of what we can do

Live AI assistant demo

Try out our proof of concept assistant, ask questions about Enfluidity. Or even better ask the assistant to gather up the current OpenAI and Anthropic API pricing and compare it to its previous price it has gathered.

Built with fully realized MCP servers and LiteLLM for plug and play model exchange, a small example of how we design AI systems.

Open the demo →

06

Frequently asked questions

What services does Enfluidity offer?
Enfluidity offers custom AI development tailored to your workflows, AI and strategy audits that honestly assess where AI makes sense (and where it does not), and legacy system integration that brings modern AI to your existing tools without costly rip-and-replace.
Will Enfluidity build AI I do not need?
No. Before building anything, we ask whether AI makes sense for your case: expected costs, data privacy, and whether maintenance can stay sustainable over time. We would rather tell you the honest answer than sell you something you do not need.
Do you only call someone else’s API?
No. We have hosted models on our own hardware, from the machine through to the product. Calling someone else’s API is the easy part of the job.
Does Enfluidity integrate AI with legacy systems?
Yes. Legacy system integration is a core service. We bring modern AI capabilities to your existing tools without requiring a full platform replacement.

07

Get in touch

Prefer to skip the form? Email the co-owner aigars.ozolins@enfluidity.com directly. Or message us on LinkedIn.