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Technology either slows you down or makes you stronger

We make it measurable

Organizations rely on us to achieve
measurable results
Trusted by 300+ Clients

At Onwelo, we believe technology can either slow you down or make organizations stronger and more adaptable, which is why we design, build, and secure systems that support growth, taking full ownership of outcomes from strategy to production, backed by over 10 years of experience and more than 400 experts.

Why clients choose Onwelo

Clients choose Onwelo when delivery risk matters as much as technology

Accountability for outcomes

We take responsibility for results, timelines, and operational readiness, not only delivery scope.

Built for regulated environments

Security, compliance, and audit requirements are embedded into architecture, delivery, and operations from day one.

End-to-end ownership

From strategy and architecture to deployment and managed services - one accountable partner across the lifecycle.

How we can help your business perform

Integrated capabilities designed to improve efficiency, reduce risk, and turn technology into measurable business results

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Strategic Technology Consulting

We help you decide where to invest in technology and where to cut costs. From cloud strategy to system architecture, we focus on what actually moves your business forward, not what just looks good on slides.

Intelligent Automation (RPA)

We automate repetitive tasks that waste your team's time and create errors. Your people focus on decisions that matter while systems handle the routine work. Measurable cost reduction from day one.

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AI & Data Analytics

We turn your data into decisions you can act on. Predictive models, customer insights, operational analytics. Built for regulated industries where accuracy and compliance aren't optional.

Cybersecurity

We design systems that pass audits and protect what matters. DORA, NIS2, AI Act compliance built in from the start. Your infrastructure stays secure and ready for inspection without last-minute fixes.

Industry Expertise

Deep domain knowledge that delivers business outcomes

Financial Services
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40% Faster compliance reporting
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35% Lower manual classification workload

Financial Services

Delivery in finance requires traceability, control, and repeatable reporting. We support enterprise teams with data workflows, automation, and analytics that reduce manual load and improve operational oversight.

Healthcare
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20% Faster response to production anomalies
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30% Manual workload in diagnostic workflows

Healthcare

Healthcare delivery depends on consistent data definitions and fast access to operational insight. We consolidate reporting and enable near real-time visibility for production and planning teams.

Manufacturing
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15% Higher workstation productivity
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30% More consistent defect detection

Manufacturing

Manufacturing teams need measurement inside the process: cycle times, workstation load, and quality signals. We combine computer vision and analytics to support stable improvement over time.

ICT
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99.9% Uptime
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40% Faster rollout of new data domains

ICT

Platforms change continuously so we deliver cloud migrations, data platforms, and managed services with governance and reliability designed for long-term operations.

Technology Experts

Technology we use to deliver business value

    AI & ML

    Predicting outcomes

    Data Analytics

    Driving insights

    Automation

    Reducing manual work

    Cloud

    Scaling infrastructure

    Cybersecurity

    Protecting assets

    IoT

    Connecting devices

    QA

    Ensuring quality

    FinOps

    Optimizing costs

We partner with leading technology providers including Microsoft, Google Cloud and AWS to deliver secure, scalable cloud and software solutions. Our collaboration with Google Professional Services and national cloud operators enables us to support clients from architecture through implementation and ongoing operations.

Business Proof

Projects that improved operations, reduced manual work, and turned strategy into systems running in production every day.

Making compliance predictable

Making compliance predictable case study

Challenge

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The client was working across several disconnected systems, with reporting heavily dependent on spreadsheets and manual checks. As regulatory requirements evolved, internal teams struggled to keep pace while maintaining data quality and security. Preparing reports took time, introduced errors, and absorbed resources that should have been focused on higher-value work. At the same time, IT teams were caught between supporting day-to-day operations and responding to new business demands. The organization needed a stable foundation that would support compliance without slowing the business down.

Solution

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We designed and implemented a unified data platform that connected core systems with reporting and compliance processes. Manual preparation was replaced with automated pipelines, while security and audit requirements were built directly into the architecture. Real-time dashboards gave teams visibility into operational performance, removing the need for ad-hoc data collection. We supported the client from initial design through production deployment, taking responsibility for both technical delivery and practical adoption across teams.

Result

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Manual workload dropped by 40%, while reporting cycles became 30% faster. Compliance shifted from reactive to predictable, with standardized processes replacing last-minute fixes. Teams gained reliable access to real-time data, improving both decision-making and operational confidence. Risk was reduced through automated controls and consistent governance. The platform now supports continuous improvement instead of constant firefighting.

Data-driven operations across the shop floor

Data-driven operations across the shop floor case study

Challenge

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Production data was spread across shop-floor systems and enterprise tools that didn't speak to each other, leaving teams without a clear view of what was really happening on the line. Downtime incidents were difficult to analyze, and quality reporting relied on manual input. Decisions were often based on delayed or incomplete information, making it hard to improve performance in a consistent way. As production scaled, pressure on both IT and operations continued to grow. The business needed better visibility and automation to regain control over efficiency and quality.

Solution

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We integrated production systems with enterprise platforms to create a single operational data layer. Automated data collection replaced manual reporting, while analytics dashboards provided real-time insight into performance, quality, and bottlenecks. Predictive models helped identify potential issues before they impacted production. The solution was designed to scale with growing operations and to fit naturally into existing workflows, rather than adding another disconnected tool.

Result

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Production downtime was reduced by 25%, and overall process efficiency increased by 30%. Teams gained real-time visibility into line performance, allowing issues to be addressed earlier. Quality data became easier to access and more reliable. Reporting moved from manual effort to automated insight. Operational decisions are now driven by live data rather than assumptions.

Replacing manual operations with reliable platforms

Replacing manual operations with reliable platforms case study

Challenge

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The organization relied on fragmented data sources and manual processes to support everyday operations. Reporting required significant human effort and was prone to inconsistencies, while legacy systems limited scalability and slowed access to critical information. As data volumes grew, teams struggled to keep systems stable and responsive. The business needed modern platforms that could support faster operations without increasing complexity.

Solution

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We designed cloud-based data platforms and automated reporting workflows that unified previously disconnected systems. Manual tasks were replaced with reliable pipelines, giving teams consistent access to up-to-date information. Continuous platform development ensured stability as requirements evolved, while real-time analytics improved visibility across operations. The result was a foundation built for day-to-day reliability, not just initial delivery.

Result

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Manual operational workload decreased by 30%, and data availability improved by 35%. Reporting became faster and more consistent, freeing teams to focus on higher-value work. Access to business-critical information is now immediate. Operational efficiency increased across departments. The platform provides a stable base for ongoing growth.

Turning complex data into practical insight

Turning complex data into practical insight case study

Challenge

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Healthcare and life-science teams were dealing with growing volumes of imaging and operational data, much of it processed through manual workflows. Diagnostic and analytical processes were time-consuming and difficult to scale, while existing platforms lacked flexibility and integration. Regulatory requirements added another layer of complexity. The organization needed accurate, automated systems that could support both clinical and operational teams in a controlled environment.

Solution

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We delivered AI-driven imaging solutions combined with cloud-based data platforms to automate analysis and improve data availability. Computer vision replaced manual processing in key workflows, while secure data pipelines ensured compliance from the start. Analytics tools supported operational planning and decision-making, giving teams clearer insight into performance. All solutions were designed with regulated environments in mind, from architecture to daily use.

Result

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Diagnostic and data processing efficiency increased by 25%, while manual analysis workload dropped by 20%. Teams gained faster access to critical information, improving both accuracy and responsiveness. Imaging workflows became more predictable and scalable. Operational processes stabilized. The platform now supports compliant growth without adding complexity.

For us, successful cooperation starts with understanding the client's business, not just their technology. We take responsibility for outcomes, not only implementations, from strategy and architecture to systems running in production. Our role is to simplify complexity, reduce operational risk, and deliver solutions that teams can actually rely on every day. That's how we build long-term partnerships: by focusing on real problems, measurable results, and shared accountability.

Photo of Bartosz Czyż - CEO
Bartosz Czyż CEO

Our delivery model in practice

We craft tailored digital solutions that help brands stand out and grow with confidence

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Discover

We explore your needs, goals, and challenges. Through research and analysis of users, market, and competition, we uncover insights that reveal real opportunities for growth.

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Insightful Analysis User Research Data-Driven Discovery Understanding
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Design

We translate findings into a concrete architecture and delivery plan. Requirements, system boundaries, and integration points are defined before a single line of code is written, so that decisions made early don't create costs later.

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Solution Architecture Technical Scopin Integration Planning Compliance-Aware Design
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Deliver

We execute in controlled increments, with clear milestones, stakeholder checkpoints, and built-in quality controls. Progress is visible throughout, and scope changes are managed without destabilizing the timeline or the budget.

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Incremental Delivery Governance Quality Assurance Stakeholder Alignment
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Grow

Once systems are live, we support continuous improvement, platform development, and operational stability. Most of our client relationships extend well beyond the initial project, because operational ownership is where the real return on delivery actually begins.

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Managed Services Platform Evolution Performance Optimization Long-Term Partnership
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People & Culture

We build technology that changes how people work

Bartosz Czyż portrait
Bartosz Czyż CEO
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Bartosz is responsible for business growth and technology advisory across financial services, industry and healthcare. As a co-founder, he scaled global operations and built cross-functional teams that combine strategy, delivery and measurable commercial impact.
Rafał Głąb portrait
Rafał Głąb VP, Chief Operation Officer
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Rafał leads IT operations and large-scale delivery programs across cloud, cybersecurity, infrastructure and DevOps. With 25+ years of experience, he builds high-performance teams that deliver stable, audit-ready systems in complex environments.
Piotr Kowalski portrait
Piotr Kowalski VP, Chief Technology Officer
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Piotr drives technology development and operational excellence across software engineering, data and digital transformation. With 17+ years of delivery leadership, he improves speed, quality and cost efficiency in large IT organizations.

Join the Team

We work on demanding, regulated projects where quality and accountability matter. If you value senior expertise, partnership and real impact, you will feel at home at Onwelo.

Ready to Automate Smarter?
Let's Build Together

Ready to transform your business? Our team is here to help.

Recent blog posts

    Blog post lead
    AI Automation Compliance Security

    Automating AML/KYC: Where RPA Reaches Its Limits and Where AI Takes Over

    Key takeaways Compliance teams running AI-supported AML systems face a governance problem that technology vendors rarely describe clearly. Machine learning models process thousands of variables to generate risk scores and transaction alerts. When those models work correctly, they clear thousands of transactions per day with minimal human review. When they drift, they adapt silently to […]

    Blog post lead
    Automation Data Technology

    Process Mining Before RPA: Why Skipping This Step Is the Most Expensive Automation Mistake

    Key takeaways Most RPA implementations start with a workshop. Business analysts map processes on whiteboards, document the happy path, note a few exceptions, and hand off a process description to the automation team. The team builds to spec. The bot goes live. And then, somewhere between user acceptance testing and production, the edge cases start […]

    Blog post lead
    Compliance Frameworks Industry Security

    Third-Party ICT Risk Under DORA: How to Build a Register That Survives a Supervisory Review

    Key takeaways A supervisory review of DORA compliance does not start with the register. It starts with a question: can your organization explain, with documentation, why a specific service is classified the way it is, what has been monitored since the last review, and what happened when something went wrong? Most financial institutions that have […]

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