For Business — DataWorkshop
For Business — Europe

We solve your
AI problem.
Then we make
your team own it.

We come in, diagnose the real problem, run it through our lab, build the solution — and train your team so the knowledge stays inside your company, not locked in an agency.

Book a free diagnosis call See how we work
⚡
100+
ML / AI models deployed in production
DW Lab
◈
6+
Industries: telco, retail, logistics, fintech, edtech, auto
Since 2014
▲
100%
Knowledge transfer — your team becomes independent
Our promise
????????
EU
Based in Kraków — serving clients across Europe
Poland → Europe

Does this sound familiar?

The questions we hear
most often.

"We want to use AI but don't know where to actually start."
Most companies have data and a vague idea. We help you define the problem precisely, pick the right approach, and avoid expensive wrong turns.
"We hired an agency. They built something. Now it's a black box nobody understands."
This is the most common trap. We build alongside your team, document every decision, and don't leave until your people can run it without us.
"Our data science team built a model. It works in notebooks. But it's never made it to production."
Lab-to-production is a different discipline. We bridge that gap — from experiment to stable, monitored, maintained system that generates real business value.
"We're getting pitched LLMs for everything. We don't know what's real."
We run our own LLM benchmarks in production environments. We'll tell you honestly when an LLM is the right tool and when it's overkill or just wrong.
"We tried a proof of concept. Results looked great. It failed in production."
POC metrics lie. We design experiments that mirror production conditions from day one. No surprises when you go live.
"We need our team to understand AI well enough to make good decisions about it."
We run in-house training programs tailored to your tech stack and domain. After 2–4 days your team thinks differently about what ML can and can't do.

How we work

From first call to
production — and beyond.

No black boxes. No hand-off with a manual. Every step involves your team.

01
Problem diagnosis
1–2 days
We don't start with models — we start with your business problem. We analyze your data, map the actual challenge, define what success looks like, and tell you honestly whether ML is the right tool at all.
Deliverable: problem definition doc + feasibility assessment + recommended path
02
Lab experiments
2–6 weeks
We run rapid experiments using your real data and our lab infrastructure. We test multiple approaches, measure against agreed KPIs, and build the prototype that wins — with transparent benchmarks at every step.
Deliverable: working prototype + experiment report + benchmark results
03
Production build
4–12 weeks
From prototype to a stable, monitored system running in your environment. We handle data pipelines, model serving, monitoring, alerting — everything needed for a solution that doesn't break on a Tuesday morning.
Deliverable: production system + monitoring dashboard + runbook
04
Team training
Parallel + post-delivery
We train your team throughout the project — not in a separate room after the fact. Your engineers understand the architecture. Your data team understands the model. Your managers understand the metrics. Knowledge stays with you.
Deliverable: trained team + internal documentation + 3-month support window

Why DataWorkshop, not a typical AI agency

The difference is
what happens after.

Typical AI agency
They build it.
You depend on them.
  • ✕
    Deliver a model, hand over a zip file
  • ✕
    Your team doesn't understand what's inside
  • ✕
    Any change requires going back to the vendor
  • ✕
    No benchmarks against alternatives — you trust their recommendation
  • ✕
    Knowledge built on courses, papers, and conferences
  • ✕
    Disappear when the project is done
  • ✕
    Teach separately from implementation
DataWorkshop
We build it together.
You own it forever.
  • ✓
    Train your team alongside every build decision
  • ✓
    Your engineers can maintain and evolve the system
  • ✓
    Full documentation + internal knowledge base
  • ✓
    Backed by our lab — benchmarks exist before we recommend anything
  • ✓
    100+ models in production = real production experience
  • ✓
    3-month support window post-delivery as standard
  • ✓
    Education is built into the engagement model
Our core commitment

The knowledge stays
in your company.
Always.

This is not a feature — it's the foundation of how we work. When we finish, your team doesn't need us anymore. That's our definition of a successful project. We measure success by your independence, not your recurring invoices to us.

◈

Embedded training

Every technical decision is explained as it's made. Your engineers are co-authors, not bystanders.

⚡

Full documentation

Architecture decisions, model choices, data pipeline logic — documented in plain language your team actually uses.

▲

Custom team workshops

1–4 day in-house training tailored to your domain, your stack, your specific system. Not generic ML education.

◉

Independence as the exit criterion

We don't close a project until your team can answer: what does this model do, why, and how do we change it?

Where we've worked

Six industries.
Same rigor.

????
Telecommunications
Churn prediction, network anomaly detection, customer lifetime value modeling at 50k+ events/day.
churn AUC: 0.91
????
Retail & E-commerce
Recommendation engines, demand forecasting, customer segmentation, LLM-powered product search.
+18% basket size
????
Logistics
Demand forecasting across 1200+ SKUs, route optimization, automated document processing agents.
MAPE: 8.2%
????
Financial services
Fraud detection, credit scoring, document extraction, regulatory compliance automation with LLMs.
−43% review time
????
EdTech
Adaptive learning systems, personalization engines, automated content generation with domain fine-tuning.
+31% completion
????
Automotive
Predictive maintenance, quality control vision systems, sales forecasting and inventory optimization.
−28% downtime

Services

Four ways we
work with you.

01
ML / AI Implementation
End-to-end: from problem definition through lab experiments to production deployment. Full knowledge transfer included.
  • Problem diagnosis and data audit
  • Experiment design and prototyping
  • Production-grade system build
  • Monitoring, maintenance, handover
02
LLM & Agentic AI
RAG systems, fine-tuning, multi-agent workflows, LLM integration into existing products. We've benchmarked them all — we'll tell you what actually works.
  • RAG architecture design and evaluation
  • Agent design for business automation
  • LLM selection and cost optimization
  • Production monitoring and evals
03
In-house Team Training
1–4 day intensive workshops for your technical and management teams. Built around your industry, your data, your stack.
  • Custom curriculum for your domain
  • Technical and non-technical tracks
  • LLM in production, Agentic AI, ML
  • Follow-up mentoring available
04
ML / AI Strategy & Audit
Not sure where AI fits in your business? We map your data landscape, evaluate opportunities, and give you a prioritized roadmap — no fluff, no vendor agenda.
  • Data readiness assessment
  • ML opportunity mapping
  • Prioritized implementation roadmap
  • Build vs buy vs partner analysis

What clients and graduates say

People who've been
through this.

★★★★★

"Vladimir explains ML models in a very friendly, reliable and practical way. I'm not currently using AI at work, but I have such plans — and now I know exactly how to approach it."

Marcin Malawski
Software Consultant
Sabre
★★★★★

"The consulting under Vladimir's guidance was extremely important — I was able to make progress on a problem I was facing professionally. The course gave me not only knowledge, but experience with real-world problems."

Radosław Cichocki
Team Leader
Deviniti
★★★★★

"This is a course in which knowledge stays in memory for a long time. Participants leave with the knowledge, materials and skills to start their own project. I recommend to anyone wanting to start with ML."

Agnieszka Weiske
Software Engineering Leader
Nokia

Get in touch

Tell us about
your problem.

We'll schedule a free 45-minute diagnosis call. No sales pitch — we'll look at your challenge, tell you what's realistic, and whether we're the right fit. If we're not, we'll tell you that too.

OR REACH US DIRECTLY
hello@dataworkshop.eu
Based in Kraków — serving all of Europe

We respond within 1 business day. Based in Kraków, CET timezone.