Extract
Get your data out. Put it on a screen.
Get the data out of where it's trapped: PLCs, SCADA, historians, PDFs, legacy portals. We make it accessible, clean, and queryable so your team can finally use it.
VISIBILITY_LIVE
System Status: Optimal
We unlock your plant data and make it work for you.
Software and AI for industry, built by engineers who've been on the plant floor. Real-time visibility, smart alerts, and AI agents that handle the routine, so your team can focus on running the plant.
01 / THE CORE CONFLICT
The Gap.
Industrial sites are drowning in data and starving for intelligence. Plants log every second from their PLCs, SCADA systems sit on years of history, and engineers fill spreadsheets by hand. But the data is trapped, the insights are buried, and the tools nobody uses keep piling up.
The people who understand the plant can't ship modern software. The people who can ship software have never set foot on a plant floor. We sit in the middle. Industrial automation and machine learning engineers, building the tools your team will actually use.
02 / METHODOLOGY
How We Work
[3] STAGES | METHOD_VER: 1.0
Visibility, then intelligence, then autonomy. Engage at any one stage — most clients start at Extract and grow from there.
Intelligise
Turn data into early warnings.
Apply AI where it earns its keep: anomaly detection for safety, compliance agents that draft your reports, intelligent search across manuals and SOPs, real-time analytics that flag drift before it becomes downtime.
ALERTS_ACTIVE
Automate
Let AI handle the routine.
Build the dashboards, mobile tools, and alerts your team will actually open. Working software designed for the person on the floor, not for a procurement committee.
AGENTS_RUNNING
03 / RECENT WORK
What it looks like in practice.
Wastewater treatment
PROJECT: EXTRACT
ILLUSTRATIVE · BASED ON REAL PROJECT DATA
01 / THE PROBLEM
Zero real-time visibility into UV energy consumption. Inefficiencies were hidden until the monthly bill.
02 / THE SOLUTION
A secure web dashboard sitting on top of the site's existing SCADA. It liberated siloed control-room data, giving management live visibility and anomaly detection from anywhere.
03 / THE DISCOVERY
Uncovered a silent anomaly. The UV unit was burning 1,400 kWh/day instead of its 270 kWh/day baseline.
04 / THE IMPACT
The abnormal period meant roughly 33,000 kWh of avoidable energy waste, approximately €8,000 in avoidable cost at standard industrial rates. Future anomalies are now impossible to miss.
04 / PACKAGES
Start small. Prove value. Scale.
We deliberately start with focused, productised builds. Two to four weeks, fixed scope, fixed price. You see real value before we ever talk about anything bigger.
05 / FOUNDER NOTE
Why I built this
I'm Shane Conroy. I founded Tractis to solve a recurring problem across industrial sites: data everywhere, intelligence nowhere.
My career bridges two distinct worlds. I started in industrial automation, commissioning safety-critical PLC and SCADA systems for pharma, water, and food processing. Recognizing the limits of traditional systems, I earned a Master's in Computer Science specializing in AI to build production-grade machine learning applications for industrial settings.
Most automation experts can't ship modern AI. Most AI developers have never stepped foot on a plant floor. Tractis exists to bring the two together.
SHANE CONROY
FOUNDER & LEAD ENGINEER
MEngMSc — AI & MLIndustrial AutomationML EngineeringLead R&D Engineer