Your AI that runs on localhost.
Your data stays yours. Your stack stays yours. Your AI runs where you say it runs.
Local where your data demands it, frontier where it wins. You decide what leaves the building.
I build production AI systems for companies that refuse to rent their intelligence.
Book a 30-minute callYou talk directly to the person doing the work.
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Your AI strategy should not depend on someone else's API key.
Right now, most "AI adoption" looks like this:
- Your data leaves the building and lands in someone else's logs.
- Your costs scale with someone else's pricing page.
- Your roadmap waits for someone else's deprecation notice.
That is not adoption. That is rent.
You own it. It runs in production. It is measured.
You own it.
Models, data, infrastructure. No lock-in, no per-token rent, no vendor deciding your roadmap. Frontier APIs where they earn their tokens, local models where your data says no.
Production or nothing.
30 years of building systems that were not allowed to fail. AI built to run for years, not to demo on Friday.
Measured, not promised.
The methodology behind my own product scores rho=0.90 against human experts, backed by 30+ peer-reviewed papers.
Audit. Build. Advisory.
AUDIT
Two weeks. I map where AI pays for itself in your operation and where it is a science project. You get a plan you can execute with me, with your team, or without me.
BUILD
On-prem LLM systems, multi-agent pipelines, automation that removes real hours from real workflows. On your hardware, your cloud account, or your basement. You get the keys, the documentation, and the runbooks.
ADVISORY
A senior engineer in your corner. Architecture reviews, vendor evaluations, second opinions before you sign anything with "AI" in the title.
This is what my analysis looks like. Here is this very page, audited by my own product. It found eight friction points and did not flatter me. Two are already fixed.
Results with names attached.
Recent BuyerEyes audits, with the scores we gave them. Not testimonials. Numbers.
- 55/100Vetresor, Sweden - copy 7.5, visual 3.9. Great story, poor delivery. Joanna is a named reference.
- 74/100Marketing agency - copy 8.4, visual 6.5. Messaging does the heavy lifting.
- 68/100Fitness studio - strong copy, weak technical foundation. A leaky bucket.
- 68/100AI training platform - paid programs buried in the FAQ. A monetization gap.
More references on request.
I do not advise from slides. I build.
BuyerEyes.ai is my own product, running in production. Fourteen AI agents debate every audit before a score is assigned. The scoring methodology correlates with human CRO experts at rho=0.90. For comparison: asking AI for a simple 1-10 rating lands at 0.26-0.39.
How that code reaches production - four checks, one of them a merge queue that retests every change against the main branch as it is right now - is written up here, with the numbers counted.
Before that: 30 years of infrastructure for Lucent, Alcatel-Lucent and Nokia. Telco, finance, enterprise. Systems for millions of users.
See BuyerEyes- rho=0.90vs human CRO experts
- 14agents debating every audit
- 30+peer-reviewed papers
- 1,294tests behind the methodology
- 30 yrsLucent, Alcatel-Lucent, Nokia
You hire one person. You get a group's output.
I do not work alone. Behind me sits a team of AI specialists: strategy, marketing, sales, operations, legal, engineering. Built, trained and run by me, on my own infrastructure.
One invoice. One accountable human. No handoffs lost in translation.
Clear scope. Clear price. No surprises.
Direct line to the person doing the work. There is no account manager between us.
Clear scope before we start. Clear price before we start. No surprise invoices. Audits from €2,000. Builds from €15,000. Advisory by the week.
I do not take projects that need daily status calls. I take problems that need solving.
Kamil Andrusz
Founder, CQRE. Based in Poland, working with clients in the EU and beyond.
LinkedIn · kamil [at] lhst [dot] ai
FIG. 1 - THE HUMAN
If your AI should belong to you, we should talk.
Book a 30-minute call30 minutes, video or phone. You leave knowing whether AI pays for itself in your operation, and where. Even if we never work together.