CREATEQ

Advanced

Precision Engineering. Embedded Teams. Future-Ready Software.

Overview Locations Service lines Industries Technologies Case studies Rates Certifications Leadership Insights Events Social networks

Overview

300

employees

1996

founded

Freienbach

Switzerland

We build and manage dedicated software teams that deliver scalable, high-performance solutions while ensuring AI-powered modernisation, compliance, and security.

Hiring and scaling, made effortless: - Technical and business audit – We assess your setup, uncover risks, and define a clear roadmap from day one. - Sprint 0 and structured onboarding – Rapid integration, streamlined workflows, and immediate execution - Your team, our management – You pick the talent; we handle contracts, payroll, and daily operations. What we do best: 🔹 AI refactoring and modernisation – Upgrade legacy systems for better performance and scalability. 🔹 Cloud migration and microservices transformation – Move to the cloud, optimise architecture, and improve agility. 🔹 Automated security and built-in compliance – AI-powered security and risk mitigation for strict industry standards. For industries where failure is not an option – banking, aviation, energy, and beyond. Why CREATEQ? 🚀 Top engineers from five countries ⚡ Real results in just 8 weeks – delivering impact, fast. 🧠 AI-driven development with a compliance-first approach.

Contact details

Business info

Publicly traded: No
Majority shareholders: Management & Employees

Locations

Pfäffikon SZ, Switzerland

Headquarters

Founded1996

Employees10

Zentrum Staldenbach 3, 8808 Pfäffikon, Switzerland

Belgrade, Serbia

Delivery Center

Founded2004

Employees180

Bulevar Milutina Milankovića 11g, Beograd, Serbia

Nis, Serbia

Delivery Center

Founded2006

Employees30

4th floor, Nikole Pašića 28, Niš 700183, Serbia

Iasi, Romania

Delivery Center

Founded2013

Employees30

Strada Palas, Iași, Romania

Kragujevac, Serbia

Delivery Center

Founded2015

Employees20

2nd floor, Kralja Petra I 26, Kragujevac 34000, Serbia

Chisinau, Moldova

Delivery Center

Founded2022

Employees20

bloc C, oficiul 4, Strada Pușkin 47/1, MD-2005, Chișinău, Moldova

Rotterdam, Netherlands

Sales Office

Founded2025

Employees1

Rotterdam, Netherlands

Service lines

QA & Testing15%

E-commerce15%

Cloud15%

Application Maintenance15%

Artificial Intelligence (AI)15%

DevOps15%

Industries

Financial Services15%

Aerospace & Defense15%

Technologies

.NETAWS AppSyncAWS CloudFormationAWS CloudFrontAWS CognitoAWS DynamoDBAWS Machine LearningAWS MQAWS S3Azure Machine LearningcircleciCypressDockerELKGraphQlHybrisJavaJavaScriptJenkinsJestJUnitKafkaKubernetesMicrosoft AzureMicrosoft Machine Learning StudioMongoDBNext.jsNode.jsPostgreSQLPuppetPythonRabbitMQReact NativeReact.jsRed Hat AnsibleSAP ERPScalaSelenium IDETerraformTestRailTypeScript

Case studies

View all1 / 2

Cloud Migration of Legacy Systems Leads to Reduced Operational Cost

Our client, an airline carrier company, has been managing hundreds of applications and services running on outdated on-premises infrastructure. They have been struggling to keep up with the demands of its IT operations and their hosting provider could no longer scale with the airline’s growing needs without driving up maintenance costs.

Case study: Test Automation for Fintech Company

Switching from manual to automated testing isn’t easy. See how we helped a fintech client to achieve it. The client relied on 15 manual testers, causing delays, high costs, and inconsistent results. Testing bottlenecks slowed releases and increased defect risks. The company needed a scalable, efficient solution to enhance software quality and speed up delivery.

Transforming ifolor's Web Application

Collaboration with ifolor began in 2018, they faced a critical challenge: establishing a highly intuitive and scalable web application that could seamlessly support their growing customer base and cater to a wide variety of personalized photo products. Their commitment to user-centric solutions has made them a market leader in the personalized photo product space.

Indicative rates

Certifications²

ISO 27001

Information Security Management Systems

Since 2020

ISO 9001

Quality Management Systems

Since 2020

Leadership

Philipp Ringgenberg

CHIEF EXECUTIVE OFFICER

Michael Jaeggi

CHIEF OPERATING OFFICER

Erwin Veldhuis

HEAD OF GROWTH AND PARTNERSHIP

Insights

Why Tech Leaders Lose Control at 10+ Engineers

This webinar reframes how product management and coordination practices break down as engineering teams scale beyond ~10 engineers and operate at modern speeds. It outlines why traditional playbooks fail—driven by faster technology cycles, distributed teams, shifting requirements, and AI-era complexity—and what current high-performing organizations replace them with. The session shares evidence-based frameworks and coordination models that help leadership restore alignment, reduce chaos, and keep strategy actionable across teams. Tech leaders should care because scaling product execution without a modern coordination strategy increasingly determines whether growth stalls or accelerates in high-velocity environments.

The Balancing Act: Manual vs. Automated Testing

Release velocity and CI/CD make fully manual QA a bottleneck, but full automation can miss UX and exploratory defects. The article compares manual testing (exploratory, usability, ad-hoc, early feature validation) with automation (repeatable regression, performance, large suites) and where each fits best. It highlights trade-offs: manual work doesn’t scale and is error-prone, while automation needs upfront effort, skilled resources, and maintenance as the product changes. The takeaway is a blended strategy—automate stable, high-frequency checks and keep human testing for judgment-heavy scenarios. Leaders can use this to align QA investment, team skills, and their approach to AI-assisted testing.

How to Review AI-Generated Code Without Slowing Delivery

AI-generated code changes the scale and speed of software delivery, but many review processes still rely on workflows designed for human-written code. The article outlines a layered review model where automated systems enforce syntax, security, dependency, and AI-specific validation, while engineers focus on architectural intent, business logic, and security-critical decisions. It also explains why excessive manual review and superficial approvals both fail in AI-heavy environments. Engineering leaders should care because sustainable AI adoption depends on redesigning review systems around risk, context, and review velocity.

Events

No events data available.

Transparency Wins Ecosystem Context

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CREATEQ

Overview

Locations

Service lines

Industries

Technologies

Case studies

Indicative rates

Certifications2

Leadership

Insights

Events

Social networks

Transparency Wins Ecosystem Context

Certifications²