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Data analysis and automation
For test and production data that takes too much manual work to validate, compare and report.
Explore capabilityMove across the formTouch the form
INDEPENDENT ENGINEERING · TORINO, ITALY
Software builtfor your work.
Custom software, data analysis and IT consulting for teams that need practical tools.
01 / MATTER → DATA
- Raw data
- Structured data
- Analysis
- Decision
We build applications, connect systems and make data easier to understand and use.
Relevant professional experience
Selected organisations connected to our professional experience. Identification only; no endorsement or direct client relationship implied.
02 / OUR DISCIPLINES
Understand the data. Improve the process.
Data analysis and automation, supported by industrial software and connected systems.
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Industrial applications
For test, commissioning, operation or maintenance work that depends on fragile or poorly matched tools.
Explore capabilityC / 03
System integration
For devices, applications and plant systems that must exchange data reliably without replacing everything around them.
Explore capabilityC / 04
Embedded software and firmware
For devices that need safer change, clearer diagnostics or a stronger link between electronics and software.
Explore capability03 / SELECTED WORK
Work that solves real problems.
Software for industrial data, engineering tasks and laboratory work.
EOL
An application for reviewing production test and burn-in data for railway braking systems.
Wabtec · Our previous professional experience
ChromaTrace
A Windows application for recovering and reviewing HPLC data and preparing laboratory spreadsheets.
Università di Torino · Academic project
REX Builder
A web application that helps engineers build and check configurations using reusable rules.
Wabtec · Artava client
This case study is based on our previous professional experience and does not imply customer endorsement or an ongoing commercial relationship.
04 / CONNECTED THINKING
From operational data to engineering decisions.
Connect equipment and engineering records, structure the data and make results easier to analyse, compare and act on.
Select a layer to explore01 — 05
ENGINEERING DECISIONS
Data analysis
Data validation, statistical process control, analysis views and automated reporting. Turn production, test and laboratory records into traceable information for engineering decisions.
05 / WORKING METHOD
From the problem to a working solution.
Each step produces something the technical team can review.
- PHASE / ENGINEERING METHOD01 / 05
Map
Map data sources, quality issues, reporting needs, users and constraints.
Sources & constraints - PHASE / ENGINEERING METHOD02 / 05
Define
Agree data models, analysis questions and acceptance criteria.
Models & criteria - PHASE / ENGINEERING METHOD03 / 05
Build
Build data pipelines, analysis tools and automated reports in reviewable increments.
Reviewable increments - PHASE / ENGINEERING METHOD04 / 05
Verify
Validate results against source records and test the full data workflow.
Evidence & validation - PHASE / ENGINEERING METHOD05 / 05
Document
Leave data definitions, analysis methods and software clear for the team that owns them.
Knowledge & handover
06 / WHY ARTAVA
Practical work. Direct communication.
Six commitments to the work
01 / 06
Start from the data
Understand how measurements are produced, what they represent and which decisions they support.
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Fit the real workflow
Test, commissioning, production and reporting steps are mapped before tools are changed.
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Keep what works
Existing controllers, protocols, databases and internal tools are integrated where practical.
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Own the boundaries
Data sources, transformations and reporting interfaces are specified and tested.
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Talk engineer to engineer
The engineer doing the work joins the technical discussion.
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Work with the internal team
Delivery follows the team's reviews, conventions and documentation.
THE NEXT CONVERSATION
Have a projectin mind?
Tell us what you need. We can start with a short conversation.