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TEST AUTOMATION LAB

How much time do you lose on manual testing before releases?

CONTINUOUS REGRESSION. FASTER RELEASES. NO MANUAL BOTTLENECK.

Replace slow, manual regression cycles with continuous, automated testing integrated into your existing CI pipeline. Get predictable “safe to ship” signals in hours, not weeks - with 3-10× faster release cycles and fewer defects reaching customer sites.

  • 90% regression time reduction - from days of manual work to overnight runs.
  • Weekly instead of quarterly releases, without expanding your QA team.
  • Continuous, audit‑ready test evidence for ISO 9001, CRA‑ready quality docs and custom audits.
Let’s talk about repeating thisView our packages

No commitment required · 30-minute discovery call · ISTQB‑certified senior engineers  

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Who is Test Automation Lab designed for?

Test Automation Lab is a fit when quality issues, slow validation, or audit pressure are hitting your logistics or industrial software. Test Automation Lab is the right choice when quality problems, slow validation, or audit demands are impacting your logistics or industrial software and causing costly issues in production due to insufficient testing.

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Best suited for:

  • Logistics automation vendors and industrial OEMs with systems that communicate with PLC, like:  
    - Conveyor Systems & Controller Level
    - AGVs / AMRs / Shuttles
    - Scanning & Sensor Systems
    - Packing Machines
  • Teams running complex conveyor, sorting, warehouse or factory control software.
  • Organizations where manual regression is measured in days or weeks, not hours.
  • Companies facing recurring field defects, warranty claims, or audit pressure.
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May not be ideal if:

  • You maintain a very small application with low release frequency and low risk.

  • Your current priority is temporary manual QA capacity for a short lived project.

  • There is no repeatable delivery pipeline or clear set of high risk workflows yet.



 

The gap between "it should work" and "it actually does"

Whether you're tracking warranty exposure, managing roadmap pressure, or running manual regression at midnight - these are the situations we're built to resolve. Find yours below.

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When quality problems start hitting revenue, reputation, and growth

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"Are field failures and warranty claims eating into your revenue and damaging your reputation?” 

In logistics automation, late-stage defects do not stay “technical.” They turn into customer escalations, contract penalties, warranty costs, and brand damage. Warranty-related costs can consume 1.5-2.7% of product revenue. 

 

Test Automation Lab response
Test Automation Lab brings in protocol-native automated testing that catches communication failures, integration defects, and risky edge cases before commissioning - helping reduce field defects by 40-90%. 


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“Are manual testing delays helping competitors ship faster than you?”

When release validation takes too long, product launches slip by weeks or months, while engineering teams spend 57% of their time firefighting instead of building competitive advantage.  

 

Test Automation Lab response
By integrating automation directly into CI/CD, Codelab helps teams move from slow, manual release cycles to 3-10x faster delivery, with regression reduced from 120 hours to 4.  

 

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“Are your best engineers stuck in war rooms instead of moving the product forward?" 

Repeated production issues drive frustration, burnout, and turnover in scarce roles such as PLC, embedded, and industrial protocol specialists. The deck points to 82% of engineering teams reporting frustration and demotivation.  

 

Test Automation Lab response
Automated regression and early defect detection reduce firefighting pressure, improve engineering focus, and free specialists to work on product innovation instead of repeated crisis handling.  

 

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“Do you want to use AI‑generated code to speed up development, but do not fully trust the foundation you would be accelerating?”

AI‑generated code promises faster delivery and lower costs, but many teams worry it may introduce hidden defects, security gaps, or performance issues into already complex systems. Without a reliable safety net, it is hard to move beyond small, low‑risk experiments and use AI at scale in real product development.

 

 Test Automation Lab response
Test Automation Lab turns AI‑powered development from a risky experiment into a controlled, repeatable process. We wrap critical business flows and AI‑generated changes in automated tests, wired into your CI/CD pipeline as mandatory quality gates before any release. 

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When roadmap promises to keep colliding with testing reality.

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"Are customer complaints overwhelming your backlog, preventing you from delivering the features you promised?

Instead of delivering planned features, teams keep reacting to bugs, escalations, and quality issues from the field. 37.9% of product managers describe their backlog as a jumble.

 

Test Automation Lab response
Protocol-native automated testing helps catch failures before deployment, reducing defect leakage and stabilizing delivery so backlog capacity can shift back toward roadmap work.


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“Do you struggle to answer “Is it ready to ship?” with confidence?

When testing stays manual and fragmented, release readiness becomes subjective, stakeholders lose trust, and timelines start slipping at the final stage.

 

Test Automation Lab response
Codelab gives teams a repeatable, CI/CD-connected quality process with faster validation, clear release signals, and centralized reporting that supports data-driven go/no-go decisions.

 

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“Is testing the unpredictable bottleneck in otherwise on‑time projects?

Coding may finish on time, but release dates still move because manual regression of 200+ test cases can take 16+ hours per cycle, or over 120 hours in full-cycle benchmarks.

 

Test Automation Lab response
With automated regression, parallel execution, and multi-device validation, testing becomes a predictable part of the delivery plan instead of the reason it breaks.

 

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“Do you lack reliable data to prioritize features versus quality improvements?

Without clear visibility into defect trends, quality risk, and coverage, prioritization often turns into a debate driven by urgency rather than evidence.

 

 Test Automation Lab response
Centralized test management and audit-ready reporting give product and project teams a shared source of truth for release risk, quality signals, and planning decisions.

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When coverage is too shallow, regression is too slow, and confidence is too low

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"Are your highest‑risk scenarios still untested or only covered manually?" 

Many organizations still operate with less than 40% automation coverage, while the hardest scenarios - multi-device behavior, network edge cases, and industrial protocols - remain manual or untested. 

 

Test Automation Lab response
Test Automation Lab supports protocol-native testing for PROFINET, EtherCAT, MQTT, and related environments, together with network simulation and multi-device concurrency, to help teams reach 80–95% coverage in the areas that matter most.  


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“Is manual regression blocking your move to modern CI/CD?"
When full regression is too slow to run regularly, QA becomes the bottleneck and engineering loses the rapid feedback needed for safe iteration.  

 

Test Automation Lab response
Codelab reduces regression time by up to 90%, integrates tests with CI/CD pipelines, and enables parallel execution so teams can move toward weekly or even daily release feasibility.  

 

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“Is traceability and audit preparation still a painful, manual exercise? 

ISO 9001 and customer audits require documented traceability from requirements to tests and results, but many teams still patch that together manually over several weeks.  

 

Test Automation Lab response
Automated traceability and audit-ready reporting reduce documentation overhead and can cut audit preparation effort by 80%. 

 

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“Are engineers afraid to change the code because they don’t trust the safety net?"
Without a reliable automated safety net, every change feels risky, technical debt grows, and refactoring gets postponed. 

 

 Test Automation Lab response
Comprehensive automated regression gives engineers confidence to refactor, redesign, and add functionality without constantly fearing hidden regressions.  

Organization Leaders

Product and Project Managers

QA Engineers, Devs & Architects

How Test Automation Lab works in logistics and industrial environments

Protocol native testing, not generic QA

We design and run tests against your systems using the same protocols, device interactions, and communication patterns that appear in real logistics and industrial environments. This helps uncover issues that generic software QA approaches often miss in areas like conveyor control, sorting logic, or machine PC interactions.

CI/CD integration built for faster feedback

Test Automation Lab connects automated tests with your existing delivery pipeline so validation runs consistently with each build or release. Quality status becomes transparent, and the time between a code change and feedback about its impact is reduced from days to hours.

Coverage where operational risk is highest

We prioritize test coverage for scenarios that typically generate the highest cost and disruption: network behavior, multi device workflows, integration heavy processes, and critical safety or throughput paths. This limits the likelihood of costly failures in warehouses, factories, or customer sites.

Reporting executives can trust

Test Automation Lab provides centralized reporting, traceability between requirements, tests, and results, and audit friendly evidence. Technical teams, managers, and executives share a single view of quality instead of relying on fragmented updates and subjective status reports.

What results can you expect from industrial test automation?

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Based on our experience and industry benchmarks, logistics and industrial teams see measurable gains when they move from manual regression to protocol‑aware automation: 

  • 40-90% fewer field defects with protocol native, pre deployment testing.
  • 3-10x faster releases with automation integrated into CI/CD.
  • Up to 90% regression time reduction - from 120 hours to 4 hours.
  • 80-95% automated coverage in high risk scenarios.
  • Significant reduction of defect leakage - from double digit rates in manual setups to low single digit levels in mature automation programs.
  • Up to 80% less manual effort to prepare for audits thanks to automated traceability and reporting.
  • 300-500% ROI within 12-18 months in comprehensively implemented automation programs.

Case studies - how we automate tests?

We know how to start.

Most teams plan only a few deliver.

"Industry data from the World Quality Report 2025-26 tells one story: most companies know they need automation, but can't bridge the gap between intent and execution. In 2025, 47% of organisations were still in the planning stage – and only 8% had reached a fully mature, KPI-driven automation strategy*. Our clients in logistics automation told us the same - before we started working together. What follows is what that transition actually looked like."

Hubert Kamiński 
Solution Owner / Lead Project Manager, Codelab

* in reference to: Capgemini / OpenText / Sogeti, World Quality Report 2025-26


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MultiControl software for conveyor and sorting systems

Case study | From 3 months of manual validation to 3 weeks of automated release testing

Codelab helped MultiControl cut their release cycle from 3 months to 3-4 weeks by replacing manual QA with a fully automated, CI/CD-integrated testing pipeline - reducing testing costs by 35% and freeing up engineering capacity for product work .

Challenge? Accepted.

The customer relied on manual testing across numerous release configurations, a process that required five engineers over approximately three months. This approach delayed deployments, increased resource utilization, and heightened the risk of undetected defects in complex sorting and conveyor scenarios.

What Codelab did:

  • Built automated validation with Vector, VTest Studio, Robot Framework, Python, XRay, and JIRA.
  • Connected test execution to Jenkins for CI/CD‑triggered validation.
  • Used a hybrid approach to balance automation depth with practical coverage.

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week per release cycle

was 12-14 weeks

-35%

testing costs reduced per customer

while significantly increasing release confidence

5->3

manual testers needed during release
headcount reduction

CI/CD

full integration

Before adopting Codelab, our regression testing relied heavily on manual validation of control software. Each release required several engineers spending multiple days executing repetitive test scenarios. By introducing automated testing with Codelab and integrating it into our CI/CD pipeline, our key regression tests now run automatically with every build, giving us immediate feedback on software changes. What previously took days of manual effort is now completed in a few hours, and we estimate that automation has reduced our testing related engineering costs by around 35% while significantly increasing release confidence.

Projekt bez nazwy (10) Technical Lead Codelab customer

Reducing bug analysis effort in machine‑PC tool integration

Case study | Stop losing engineering time on bugs your team does not own

By introducing interface‑based automated tests and decoupling PC‑tool validation from physical machines, Codelab helped the customer eliminate almost all analysis of non‑PC‑tool bugs and reclaim 80–120 engineering man‑days per year.

Challenge? Accepted.

The customer’s PC tool team was losing 2–3 days per case analysing issues that often did not originate in their software. Because roughly 80% of problems came from machine firmware, the team was wasting 80–120 man‑days annually on the wrong problems.

What Codelab did:

  • Introduced interface‑based automated tests to simulate interactions between PC tools and machines.
  • Decoupled PC tool testing from physical machines.
  • Enabled faster root‑cause identification across software and firmware boundaries.

near 0

time spent analysing bugs

reduced per not owned by the PC-tool team

80–120 man-days

saved 

per year

faster

root-cause identification

more time

for improvements and new feature delivery

CRA Is Not Just About Security Testing. It’s About Proving It.

Your embedded devices are increasingly distributed, connected and exposed to growing regulatory pressure, including the Cyber Resilience Act.  
Every firmware update is no longer just about functionality – it is about security, remote rollout capability and a repeatable, auditable process.  
Codelab’s Secure Bootloader gives you a proven, flexible foundation so you can focus on developing your product instead of reinventing the update mechanism.  

When we saw the numbers broken down, it was quite shocking. We were effectively spending months each year on problems outside our responsibility.
Projekt bez nazwy (10) Engineering Manager Codelab customer
After seeing the analysis, there was no real debate. We knew we had to start isolating application tests and invest in automation right away.
Projekt bez nazwy (10) Project Manager Codelab customer
The workshop changed our perspective - without automation and test separation, we would continue wasting valuable engineering capacity.
Projekt bez nazwy (10) Head of R&D Codelab customer

Why choose Codelab as your partner?

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We know, we care, we do.

Codelab delivers high-performance software solutions and services for automotive, IIoT, and mobile. We take ownership of the entire development lifecycle - from concept and architecture to CRA-compliant validation and full system integration. With 220+ engineers in Poland, we support global Tier-1 automotive, industrial, and telecom leaders in building secure, scalable, and regulation-ready systems. For nearly 30 years, we have been executing complex, high-impact international projects - combining deep cybersecurity and embedded systems expertise with technologies from industry leaders. Part of Beta Systems Group - 35 years of global IT excellence, operating in nearly 40 countries and listed on the Frankfurt Stock Exchange.

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years of experience with complex projects

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Business Setup Growth

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product carlines handled

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NPS Score

Choose the level of support that fits your testing maturity

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Starter - Industrial Test Automation Entry

First step into automated testing. One device under test. Manual regression today. Best for quick ROI.
Typical duration: 4–6 weeks
€10,000 – €15,000 one-time setup
€550 / month support

Starter plan means:

Primary goal: Automated regression for 1–2 critical flows, reducing manual regression time by 50–70% for one device under test   

Includes: Test Automation Framework installation and setup, Setup for one industrial protocol - MQTT, Sample test data setup + up to 10 sample test scenarios, Test environment documentation & handover, Training (1 day) - Hands‑on with your own scenarios; goal: team can add and maintain tests themselves, Limited support (email) 

Optional packages: Integration with existing CI/CD (GitLab or Jenkins) - Simple test pipeline, Setup for additional OPC UA protocol, Extra test design support workshop (remote, 1 day) 

Supported protocols: MQTT or OPC UA or

Book a Call
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Professional – Industrial Continuous Testing

Regular releases. Multiple interfaces. Early integration problems. Best for scaling automation.
Typical duration: 2–3 months
€30,000 – €50,000 one-time setup
€1,200 / month support

Professional plan means:

Primary goal: Continuous testing integrated into your CI/CD, enabling safe, regular releases with automated regression on every change. From manual nightly runs to automated pipelines that fail fast on regressions 

Includes: Everything in Starter, plus: Setup for industrial  protocols (Profinet, Ethernet/IP), Sample test data setup + up to 10 sample test scenarios for additional industrial protocols, Integration with existing CI/CD (GitLab or Jenkins), Test pipelines setup, Test reporting dashboards showing pass/fail, defect trends, and coverage per release, Priority remote support (email + online sessions)

Optional packages: Installation and setup of CI/CD environment (GitLab Free or Jenkins), Setup for additional industrial protocol – EtherCAT or Modbus, Advance Security Testing - SAST, SCA, SBOM integrated with CI/CD - Based on SonarQube Advance – cost of SonarQube License as additional cost, Upgrade to the GitLab Premium or Ultimate – GitLab license price as added additional cost 

Supported protocols: PROFINET, EtherNet/IP, Optionally: EtherCAT or Modbus

Compatibility with PLC / Soft-PLC: CODESYS

Book a Call
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Enterprise – Industrial-Scale Continuous Testing

Mission-critical systems. Multi-device environments Safety, availability & compliance critical. 
Typical duration: Initial program setup (3-6 months) plus ongoing coaching and test asset evolution
Contact us for a custom pricing

Enterprise plan means:

Primary goal: Secure, scalable testing, Quality & compliance program for mission-critical, multi-device systems (safety, availability, regulatory)

Includes: Everything in Professional, plus: Enterprise test framework, Custom Robot Framework libraries, Test governance model, Training & enablement, Priority support

Optional packages: Integration with existing CI/CD (GitLab or Jenkins) - Simple test pipeline, Setup for additional OPC UA protocol, Extra test design support workshop (remote, 1 day) 

Supported protocols: MQTT, OPC UA, PROFINET, EtherNet/IP, EtherCAT, CanOpen, Custom / proprietary buses

Compatibility with PLC / Soft-PLC: CODESYS + other on request

Book a Call

Our Audit Process – Step by Step

We follow a methodical process designed for efficiency, with sufficient detail to ensure transparency while respecting your time constraints: 

Discovery Call (~1 hour)

A focused meeting to map your business objectives, technical stack and modernization goals. It allows to better understand key deadlines, pain points and define a tailored approach.

Technical & Process Assessment

Based on the discovery phase, our experts conduct a focused audit tailored to your challenges. It covers software, data flows, integrations, architecture, and delivery practices.

Deep-Dive Workshops (~4 hours)

Session that brings stakeholders together to discuss team dynamics and the development process. It helps uncover tools, blockers, and communication gaps.

Reporting & Recommendations

We compile findings into an executive summary and detailed technical report delivering a report with clear, business-aligned next steps.

Deliverables and Timeline

Executive Summary

High-level overview of findings and business implications.

Deep Technical Report

Clear, actionable report highlighting key issues, inefficiencies, and risks.

Improvement Plan

Prioritized recommendations and a structured improvement roadmap, combining quick wins with long-term strategies. All delivered within business days from project start.

If quality is slowing releases or increasing field risk - let’s fix the right problem first 

Manual testing quickly becomes a bottleneck: regression cycles stretch into days, coverage in high‑risk areas stays partial, and every change demands more engineering time just to make sure nothing else broke. In contrast, automated tests run consistently and repeatably, give you faster feedback after each build, and can cover complex integration and edge cases that manual testing rarely reaches.

Whether you are trying to protect margin, restore roadmap predictability, or build coverage your engineers can trust, Codelab can help you replace slow, error‑prone manual checks with scalable, automated test suites - so you identify the riskiest gaps early and turn them into a durable, data‑driven quality process.

Frequently asked questions

Can Test Automation Lab work with our existing industrial stack?

Yes. Test Automation Lab by Codelab is designed to integrate with existing industrial environments, including PLCs, embedded controllers, custom applications, and modern software delivery toolchains. 

What is the difference between Test Automation Lab and in house test automation?

In‑house automation requires your team to design, implement, maintain, and scale test suites on top of their existing workload. Test Automation Lab brings a dedicated engineering team, industrial tooling, and proven patterns for logistics and manufacturing systems, so you can accelerate coverage and outcomes without building everything from scratch. 

When does test automation deliver ROI in logistics and industrial software?

ROI usually appears when manual regression is measured in tens or hundreds of hours per release, when field issues drive warranty or downtime costs, or when audit and traceability demands put constant pressure on your teams. In such conditions, well‑targeted automation can reduce manual effort, defect leakage, and time‑to‑release enough to offset the investment within 12-18 months.

Do we need to replace our current QA team?

No. Test Automation Lab is built to strengthen your current delivery model, reduce manual overhead, and fill automation gaps, not to replace your QA team. Your internal experts remain key owners of quality, while Codelab focuses on building and operating the automation layer. 

How quickly can we see value?

The Starter model focuses on a first automated regression scope and is typically delivered in 4-6 weeks, so teams can start seeing reduced regression time and more reliable safety nets within a single release cycle. 

What systems and workflows can be automated in logistics and industrial environments?

Typical candidates include conveyor and sorting control software, warehouse execution systems, machine‑PC interfaces and safety‑critical workflows where downtime or mis‑routing is expensive (like: Conveyor Systems & Controller; AGVs / AMRs / Shuttles; Scanning & Sensor Systems; Packing Machines). 

Can you help with compliance and audits?

 Yes. Test Automation Lab supports automated traceability, centralized reporting, and ISO 9001‑ready documentation workflows that reduce manual preparation effort and make audit evidence easier to produce. 

What makes this different from generic test automation services?

 Codelab’s approach is tailored to logistics and industrial systems, with protocol‑native testing, multi‑device validation, network simulation, and CI/CD integration for real operational environments rather than generic web or mobile applications. 

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