Data engineering
Data model, quality, migrations from spreadsheets, reports. The foundation for everything else.
Company
You are not buying a system. You are buying the team that will build it.
Automation is not a licence — it is technical decisions made hundreds of times during a rollout. That is why we say plainly what expertise we have and how we work.
How we work
Done, not planned
Audit — 2–3 weeksA workshop, process observation, conversations with the people who carry it out. You leave with a process map and a list of automations: what, how much it costs, what it pays back, in what order. A decision document, with no commitment.
Pilot — 2–6 weeksOne process — usually the most painful and the easiest to measure. We implement it all the way. Something that works, and hard data to decide on the rest.
Rollout — 1–6 monthsWe extend to further processes, areas and locations. In stages — each stage works on its own.
Support and development — ongoingAutomations need maintenance — systems change, and so do processes. We monitor, improve and add more.
People
The expertise in our team
Not subcontractors picked for the project — people who do this every day.
ERP / MES integrations
API, REST, SOAP, SQL — and whatever has no API. Business systems connected to the shop floor.
Python & SQL
The workbench where workflows, agents and apps are built.
AI / LLM
Document agents, knowledge assistants, prediction — with a human in the loop.
Industrial automation, IoT and RFID
OPC-UA, Modbus, MQTT, sensors, tags. Signals from the shop floor, in the data.
Process UX and plant maintenance
Apps for the people on the shop floor, and knowing how a plant works when something stops.
Differentiator
Why us and not an AI agency?
AI agency / IT integrator
- Software automation — yes
- Integrations with ERP and production — partly
- RFID, sensors, IoT — no
- Automated storage — no
- First result within weeks — rarely
- Responsibility for the whole chain — no
ErgoFlow
- Software automation — yes
- Integrations with ERP and production — yes
- RFID, sensors, IoT — yes
- Automated storage — yes
- First result within weeks — yes
- Responsibility for the whole chain — yes
Proof
For us, the physical layer is not theory
Automated storage and apps that are really in use, not mock-ups.
Automated storage
Drum and locker dispensers, with RFID identification and ERP integration. Tools and PPE 24/7, with allowances and consumption reports.
Apps for local government
Ticket refunds, storeroom and canteen, access control, bookings — four modules rolled out for municipalities and their organisational units.
Integrations and automation
ERP, MES, WMS, time and attendance and CRM connected to the shop floor, machines and spreadsheets — in one flow, with no human in between.
Questions
Before you ask
Our data is a mess — surely it is too early for you?
Quite the opposite. That is exactly when we’re needed. Putting data in order is the first layer of our work, not a prerequisite.
We don’t have an IT department.
Most of our clients have none, or just one person. We work in a way that does not burden your team — we need access and a few hours from people who know the process.
How much does it cost?
The audit has a fixed price; the pilot depends on the process. After the audit you know the price range to the last zloty — before any decision on a rollout.
Our previous rollout failed.
The most common cause: too much scope at once and no shop-floor people on the project. That is why we start with one process and talk to the people who carry it out — not just to the management.
Will we be dependent on you?
No. The documentation, access and data are yours. Standard technologies, no closed formats. Keeping maintenance with us should be a choice, not a necessity.
Won’t AI put our people out of work?
For our clients, AI takes over the work nobody wants to do — retyping, searching, stitching reports together. People stay; they just do what they were hired to do.
Let’s start with one hour
A conversation about your process. No presentation about AI — questions about where work gets stuck today.