Quality
Engineering
Great technology only earns its name when it works – reliably, every time. Our Quality Engineering practice is built on deep testing and QA heritage, accelerated by AI and modern automation, and applied across the full stack. We don’t bolt quality on at the end. We engineer it in from the start – always balancing the right level of quality against real-world risk, so you invest where it matters most and extract maximum value from every pound spent on assurance.
The
Challenge
Modern software demands more than testing, it demands engineered confidence at every layer.
AI Introduces New
Failure Modes
AI models degrade, hallucinate, and drift in ways traditional testing was never designed to catch or measure
An estimated 30% of AI projects will fail due to poor data quality and inadequate model validation (Gartner)
Quality Debt
Compounds Fast
Technical shortcuts and under-tested releases accumulate silently, until the cost of fixing them far exceeds the cost of prevention
60% of software defects originate in requirements and design phases – long before a single line of code is tested
Speed Creates Dangerous
Blind Spots
Delivery pressure forces teams to cut corners on testing, leaving critical gaps that only surface in production
Organisations that skip structured QA ship 15x more critical defects to production
The cost of inaction
Organisations that underinvest in Quality Engineering don’t just ship bugs – they absorb costs, erode trust, and put their AI ambitions at risk before they’ve even begun.
Our
APPROACH
We embed quality from the first conversation to the final release, combining deep QE heritage with modern AI and automation to deliver assurance that’s built in, not bolted on.
Our approach is always risk-informed: targeting quality investment where it delivers most, minimising waste and maximising the value your organisation gets from every assurance activity.

What Makes Us
Different
QUALITY-FIRST HERITAGE
Decades of Software Testing and QA expertise, applied to the demands of modern, AI-driven delivery
RISK-BASED, VALUE-DRIVEN
Quality for its own sake isn’t our goal – confidence is. We balance quality investment against business risk, focusing assurance effort where failure would cost most and ensuring every quality activity is justified by the value it protects
AI-AUGMENTED TESTING
Intelligent automation that finds what manual testing misses and adapts faster than traditional frameworks
END-TO-END ASSURANCE
From requirements and business analysis to data pipelines, AI model validation and live production monitoring is guaranteed
SEAMLESSLY INTEGRATED
We work within your existing delivery teams and tooling – accelerating quality without disrupting the way you work
Platforms, Tools
& Practices
TOOLS & TECHNOLOGIES







CodePipeline



Actions
METHODOLOGIES
We apply shift-left testing principles,risk-based testing and continuous quality practices aligned to your delivery model.

Our
Capabilities
QUALITY ASSESSMENT
& ADVISORY
Strategic guidance that goes beyond traditional testing. Our Health Checks identify inefficiencies and quality risks across your delivery lifecycle. And our Advisory service defines target operating models and shifts quality left – preventing defects before they have a chance to occur.
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MANAGED QUALITY
ENGINEERING
Flexible, end-to-end delivery models including full Managed Service and Hybrid options. We take ownership of your entire quality function – from strategy through to execution – reducing the management burden on your teams and embedding consistent, scalable quality practices across your organisation.
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BUSINESS ANALYSIS
AS A SERVICE
Bridging the gap between business objectives and technical delivery. We provide expert facilitation, requirements elicitation and process optimisation to ensure alignment between stakeholders and delivery teams, eliminate ambiguity, and close the Implementation Gap before it costs you.
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TEST
AUTOMATION
Tailored automation that integrates directly into your CI/CD pipelines and scales with your delivery pace. With AI at the core of how we create, maintain, and evolve test assets, we remove the manual burden that has traditionally made automation expensive to build and fragile to maintain.
The result: faster coverage, more stable suites and high-confidence releases from day one.
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PERFORMANCE
ENGINEERING
Tool-agnostic performance and load testing, embedded early in the SDLC. We analyse benchmarking, volume and stress characteristics to optimise system stability, validate scalability, and protect the user experience under real-world conditions.
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DATA QUALITY
ASSURANCE
Ensuring the data that powers your decisions, reporting, and AI models is accurate, complete, and trustworthy. We validate data pipelines end-to-end, define data quality frameworks, and integrate automated checks that surface issues before they reach production.
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AI TESTING
& VALIDATION
Rigorous validation of AI and LLM-powered systems to eliminate hallucinations, bias and inaccuracies. Using our Echo methodology, we rapidly scale test volume to ensure your AI initiatives are safe, accurate, and production-ready – not just technically functional.
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DIGITAL ACCESSIBILITY
ASSURANCE
Comprehensive accessibility testing and audit services combining automated tooling with expert analysis. From Strategic Assessments to detailed Audits, we ensure compliance with WCAG and the Equality Act – improving inclusivity and protecting you from regulatory risk.
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AI-AUGMENTED
QUALITY ENGINEERING
AI doesn’t just change what we test – it changes how we test. We harness AI across the entire quality lifecycle: accelerating test case design, producing synthetic data at scale, identifying risk patterns earlier, and accelerating automation. The result is a quality practice that gets smarter, faster and more precise over time.
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Who Do We
WORK WITH?
We’ve designed our Quality Engineering services for organisations where the cost of getting it wrong is too high to leave quality to chance.
COMPANY SIZE
Scale-ups
Mid-Market
Enterprise
Maturity Level
Building a QE practice
Scaling existing testing
Modernising legacy approaches
Embedding AI into quality

I need to Modernise infrastructure
Optimise our costs
QUALITY & TEST LEADERSHIP
HEAD OF QUALITY / TEST DIRECTOR
Quality leaders responsible for building and scaling a testing practice that keeps pace with modern delivery demands – without sacrificing rigour for speed.
Shift-left strategy
Test automation maturity
AI-augmented quality

Developer experience
I need to scale reliably
TECHNOLOGY LEADERSHIP
CHIEF TECHNOLOGY OFFICER
CTOs who understand that quality isn’t a cost centre – it’s a risk management function. They need a partner who can embed it across engineering at scale.
Risk reduction
Delivery confidence
Reputational protection

I need to deliver value faster
Increase productivity
Delivery Leadership
HEAD OF ENGINEERING / ENGINEERING MANAGER
Engineering leaders under pressure to ship faster without accumulating quality debt, looking for automation and process improvements that actually stick.
Deployment frequency
Defect escape rates
Team productivity

I need outputs I can trust
Increase efficiency
CHIEF DATA OFFICER / HEAD OF AI
Data and AI leaders who need assurance that their models, pipelines, and outputs can be trusted – by the business, by regulators and by end users.
Data pipeline integrity
AI model validation
Regulatory compliance
scaleDELIVERY
Our proven five-phase
methodology
01
DISCOVER
Thorough discovery of your current state, challenges, objectives and constraints, establishing a shared understanding before a single recommendation is made.
Deliverables
- Infrastructure audit
- Application portfolio
- Risk assestment
- Cost baseline
02
DESIGN
Translating discovery into a clear, agreed approach – covering target operating model, success criteria, tooling strategy, and a prioritised roadmap aligned to your business goals.
Deliverables
- Infrastructure audit
- Application portfolio
- Risk assestment
- Cost baseline
03
DELIVER
Structured, phased execution led by our expert consultants – drawing on our proven asset library of templates, frameworks, checklists and process flows to accelerate delivery without cutting corners.
Deliverables
- Infrastructure audit
- Application portfolio
- Risk assestment
- Cost baseline
04
EVOLVE
Continuous improvement, knowledge transfer, and long-term partnership – refining performance, embedding capability into your teams, and ensuring you remain ahead of the curve.
Deliverables
- Infrastructure audit
- Application portfolio
- Risk assestment
- Cost baseline
05
INFORM
At every phase, we maintain a consistent thread of transparency and insight. You receive high-quality, actionable data on progress, risks, and outcomes – not vanity metrics or status updates that obscure more than they reveal. Because confident decisions require confident information.
Deliverables
- Infrastructure audit
- Application portfolio
- Risk assestment
- Cost baseline
Outcomes & Benefits
Measurable impact across quality, speed, confidence and cost

Business Benefits
PROTECTED REPUTATION
Fewer defects reaching production means fewer incidents, fewer headlines, and fewer conversations you don’t want to have with customers or regulators.
ACCELERATED TIME TO MARKET
Embedded quality and intelligent automation remove the bottlenecks that slow releases – so you ship faster without accumulating the debt that comes back to bite you.
REDUCED COST OF QUALITY
Shifting quality left and automating intelligently replaces expensive, late-stage defect fixing with prevention. And turns quality from a cost centre into a commercial advantage.
AI INVESTMENT YOU CAN TRUST
Rigorous validation of data pipelines and AI models means your AI initiatives deliver what they promise – accurate, reliable and safe outputs that you can act on with confidence.
Technical Benefits
SHIFT-LEFT QUALITY GATES
Defects caught at requirements and design stage, before they become expensive engineering problems downstream.
LLM-DRIVEN TEST AUTOMATION
By connecting large language models directly to your codebase, documentation and tooling via MCP, we generate, update and maintain test automation in context – dramatically reducing the time and expertise required to build and scale an automation suite.
END-TO-END PIPELINE INTEGRITY
Automated data quality checks embedded throughout your pipelines, ensuring the data powering your decisions and AI models is accurate and trustworthy from source to output.
CONTINUOUS QUALITY INTELLIGENCE
Real-time insight into quality health across your delivery lifecycle and actionable dashboards and reporting that keep stakeholders informed and teams focused on what matters.

Proven Results
Real transformation delivering measurable business impact.
What Our
Clients Say
Hear from engineering leaders who have transformed
their organisations with Scale Factory.








Our experience has been overwhelmingly positive and the technical expertise offered by Scale Factory is unparalleled.
Collaboration and knowledge sharing has been key to the success of this project. Experts from The Scale Factory embedded with ITV’s engineering teams, working side-by-side on new features, while sharing skills and experience.
Frequently Asked
Questions
How quickly can you embed quality into our delivery?
We can integrate into existing delivery teams within days. Our shift-left approach means quality practices are established at the start of an engagement, not retrofitted once delivery is underway.
Do you replace our existing QA team or work alongside them?
Either. We offer fully managed, hybrid and embedded models -working within your existing team to augment capability, or taking full ownership of the quality function where that better serves your needs.
How do you use AI in your Quality Engineering practice?
We use AI to generate test cases from requirements, produce synthetic data at scale, maintain automation in context via MCP and identify risk patterns earlier -making your quality practice faster and more precise over time.
How do you balance quality investment against delivery speed?
We take a risk-based approach – focusing assurance effort where failure would cost most and ensuring every quality activity is justified by the value it protects. Quality and speed aren’t in opposition when quality is engineered in from the start.
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Infrastructure?
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