[ 00 ] — AI Engineering · Data Architecture
We design and ship agentic systems, LLM platforms and production data pipelines. Reproducible, auditable — with the IP on your side.
[ 01 ] — SERVICES
A named scope, a fixed timeframe, a concrete outcome. Pricing after a conversation about your data.
For companies that want proof of value before investing in a platform.
We define the business metric in week 1 — so your pilot doesn’t become another statistic among the 95% of projects with no ROI. If the results don’t defend the metric, you get an honest report on why and what’s next.
Get in touch →For teams running LLMs in production with no visibility into quality and cost.
An audit trail and evaluation records aligned with EU AI Act requirements (high-risk system obligations from 08.2026). We deliver the engineering side of compliance — we leave interpreting the regulations to lawyers.
Get in touch →For boards and CTOs ahead of an investment decision.
An independent audit: you get the document, the backlog and the estimate — you can build with anyone. We don’t upsell ourselves an implementation “on the side”.
Get in touch →For DS teams with notebooks that need to deliver repeatably.
From pilot to production: nearly half of PoCs never get there — we close that gap.
Get in touch →For companies that need a senior GenAI engineer on an ongoing, flexible basis.
Max. 2–3 clients in parallel — exclusivity instead of agency scale. Piotr builds himself, not just advises.
Get in touch →[ 02 ] — FOR WHOM
You have a GenAI PoC that hallucinates or doesn’t deliver ROI. We take it to production or kill it honestly.
You added AI to your offering, but you lack a senior GenAI engineer at production level. We bring the AI layer under your brand — project subcontracting, not staff leasing.
HR-tech, scoring, fintech — you need the engineering side of compliance: logging, documentation, evaluation and an audit trail.
[ 03 ] — PROCESS
A free consultation. We define the problem and the success criteria.
Architecture, milestones, estimate. You know what you’re paying for.
Every stage ends in a working product. You accept it — you pay.
The IP, documentation and reproducible pipelines stay with you.
[ 04 ] — WORK
Independent Datarmination work — our own methods and tools.
[ 05 ] — FIRST CALL
[ 06 ] — FAQ
Because a fair quote depends on your data and scale. We give a fixed price after a 30-minute scoping — upfront, not “as we go”.
The scope of each stage is clear and finite. I build the core myself; for overload I have a consortium model and trusted partners.
Yours. The code, prompts and pipelines in full — we deliver them reproducibly, and you run them yourself.
On acceptance of each milestone. You don’t pay for a stage you haven’t accepted.
NDA as standard, before any conversation about data. We work on your infrastructure wherever data can’t leave it.
Either hardening to production (PoC-to-Production), or an ongoing engagement on a retainer model.
A test set + LLM-as-a-Judge + metrics defined upfront. Without that, “it works” is an opinion, not a fact.
[ 07 ] — CONTACT
Let’s talk about your project — from feasibility analysis to a working demonstrator.
I reply within 24h on business days.
Datarmination is run by Piotr Pytlarz — an AI engineer and data architect with 9+ years in Data Science / ML. He held a key role in the internal ML/AI team of one of Poland’s largest IT consulting firms (7,500+ specialists), designing agentic RAG systems and LLM platforms for enterprise use. Previously Data Science Team Leader and Data Scientist Lead. Datarmination delivers projects independently and in consortia.
Datarmination Piotr Pytlarz
NIP 9680843592
ul. Chłapowskiego 13, 02-787 Warszawa