Case Studies

Real results from real projects. See how we've helped European businesses achieve their goals through expert cloud and software engineering.

Cloud Migration for Nordic Payment Processor
Financial Services / FinTech

Cloud Migration for Nordic Payment Processor

Client: Nordic Payment Solutions

The Challenge

A rapidly growing payment processor serving 200+ merchants across Scandinavia was struggling with their on-premise infrastructure. Peak transaction volumes caused system slowdowns during critical shopping periods, compliance audits were increasingly complex, and the infrastructure team spent 60% of their time on maintenance rather than innovation. With Black Friday approaching, they needed a solution fast.

Our Solution

We executed a phased cloud migration to AWS over 4 months, prioritizing the payment processing core. The new architecture featured auto-scaling Kubernetes clusters, multi-region failover, and PCI-DSS compliant infrastructure-as-code. We implemented blue-green deployments allowing the team to ship updates during business hours without risk. A comprehensive monitoring stack provided real-time visibility into transaction flows.

Results Achieved

  • 55% reduction in infrastructure costs (from €47K to €21K monthly)
  • 99.995% uptime achieved (up from 99.2%)
  • Peak capacity increased 10x without performance degradation
  • Deployment frequency improved from bi-weekly to 12x daily
  • Successfully processed €2.3M in transactions on Black Friday with zero incidents
  • PCI-DSS Level 1 recertification completed 3 months ahead of schedule

Technologies Used

AWS EKSTerraformArgoCDPostgreSQL RDSRedis ElastiCacheDatadogGitHub Actions
B2B Analytics Platform - Zero to Series A
Enterprise SaaS

B2B Analytics Platform - Zero to Series A

Client: DataPulse (Stealth → Series A)

The Challenge

A two-person founding team from Amsterdam had validated a B2B analytics concept with 15 pilot customers but lacked the technical capacity to build the product. They needed to go from Figma mockups to a production MVP in 4 months to hit their Series A demo deadline. Previous agency estimates ranged from 9-14 months at 2-3x their budget.

Our Solution

We embedded a senior full-stack engineer and a DevOps specialist as their interim engineering team. Using Next.js, Node.js, and PostgreSQL, we built the core platform while establishing engineering best practices from day one. The architecture was designed to handle their projected 3-year growth without rewrites. We implemented a real-time data pipeline capable of processing 1M+ events daily and a dashboard that loads in under 800ms.

Results Achieved

  • Production MVP delivered in 14 weeks (2 weeks ahead of schedule)
  • Successfully closed €3.2M Series A led by Point Nine Capital
  • Onboarded first 23 paying enterprise customers
  • Platform handles 2.1M events daily with p99 latency under 200ms
  • Zero critical bugs reported in first 90 days of production
  • Codebase passed technical due diligence from 3 VC firms

Technologies Used

Next.js 14Node.jsPostgreSQLTimescaleDBRedisAWSStripeAuth0
Legacy ERP Modernization for Manufacturing
Manufacturing / Industrial

Legacy ERP Modernization for Manufacturing

Client: Precision Components Group

The Challenge

A Belgian precision manufacturing company with €45M annual revenue was running critical operations on a 15-year-old custom ERP system. The original developers had left years ago, documentation was sparse, and the Visual Basic codebase was nearly impossible to modify. New customer requirements for real-time inventory visibility and EDI integration were impossible to implement. The system had become a competitive liability.

Our Solution

We applied the strangler fig pattern to incrementally modernize without disrupting operations. New capabilities were built as microservices with a clean API layer, while we systematically extracted and replaced legacy modules. We prioritized the most painful areas first: inventory management, order processing, and supplier integration. The team received hands-on training throughout.

Results Achieved

  • 73% of legacy codebase modernized over 18 months
  • New features now ship in days instead of months
  • Successfully integrated with 4 major customer EDI systems
  • Real-time inventory accuracy improved from 84% to 99.2%
  • Zero production downtime during entire modernization
  • Internal team now maintains and extends the new system independently

Technologies Used

Node.jsReactPostgreSQLRabbitMQDockerAzurePower BI
Healthcare Platform Scale-Up
Healthcare / Digital Health

Healthcare Platform Scale-Up

Client: MedConnect Europe

The Challenge

A digital health startup connecting patients with specialists across Europe had achieved product-market fit but couldn't scale. Their Django monolith was hitting database limits, video consultations dropped calls during peak hours, and GDPR compliance was held together with documentation rather than technical controls. With 340% YoY growth, something had to change.

Our Solution

We re-architected the platform for scale while maintaining strict healthcare compliance. The monolith was decomposed into services, with the most critical paths (video, scheduling, records) rebuilt for horizontal scaling. We implemented end-to-end encryption for video streams, proper data residency controls, and comprehensive audit logging. Performance testing validated the system could handle 50x current load.

Results Achieved

  • Platform now handles 15,000+ daily consultations (up from 2,000)
  • Video call reliability improved from 94% to 99.8%
  • Average page load time reduced from 4.2s to 0.9s
  • Passed GDPR audit with zero critical findings
  • Successfully launched in 4 new EU markets
  • Infrastructure costs reduced 35% despite 7x traffic growth

Technologies Used

Python/FastAPIReactPostgreSQLWebRTCKubernetesGCPTerraform
E-Commerce Platform Performance Rescue
E-Commerce / Retail

E-Commerce Platform Performance Rescue

Client: Fashion Forward Retail

The Challenge

A fast-growing fashion e-commerce brand was losing €50K+ monthly to abandoned carts caused by slow page loads. Their Shopify Plus setup had been heavily customized by multiple agencies, resulting in 8-second average page loads and a checkout that crashed during flash sales. With €12M in annual GMV at stake, they needed emergency intervention.

Our Solution

We conducted a comprehensive performance audit and implemented a phased optimization plan. The frontend was rebuilt with Next.js for optimal Core Web Vitals, while backend operations were moved to serverless functions. We implemented intelligent caching, image optimization, and a CDN strategy. For flash sales, we designed a virtual queue system that gracefully handled traffic spikes.

Results Achieved

  • Page load time reduced from 8.1s to 1.4s (83% improvement)
  • Conversion rate increased from 1.8% to 3.4%
  • Flash sale capacity increased from 500 to 10,000 concurrent users
  • Cart abandonment reduced by 34%
  • Core Web Vitals achieved green scores across all metrics
  • Estimated €180K additional annual revenue from improvements

Technologies Used

Next.jsVercelShopify Storefront APICloudflareAlgoliaKlaviyo
Logistics Tech Due Diligence & Rescue
Logistics / Supply Chain

Logistics Tech Due Diligence & Rescue

Client: Confidential PE Acquisition

The Challenge

A private equity firm was evaluating a €25M acquisition of a logistics software company. Initial technical review raised red flags: the codebase was poorly documented, key developers had left, and the claimed 'AI-powered optimization' was mostly hardcoded rules. They needed an independent technical assessment before proceeding and, if acquired, a plan to stabilize and modernize.

Our Solution

We conducted a 3-week technical due diligence covering code quality, architecture, security, team capabilities, and technical debt. Our 47-page report identified €2.3M in hidden technical debt but also confirmed the core algorithm was valuable. Post-acquisition, we led a 6-month stabilization effort: documenting critical systems, implementing proper CI/CD, and building a roadmap for the claimed AI capabilities.

Results Achieved

  • Due diligence identified €2.3M in previously unknown technical debt
  • Acquisition price renegotiated down by €1.8M based on findings
  • Critical security vulnerabilities patched within 30 days of acquisition
  • System stability improved from 96% to 99.7% uptime
  • Engineering team retention improved from 40% to 85% annually
  • Platform successfully handling 3x transaction volume 12 months later

Technologies Used

PythonDjangoPostgreSQLDockerAWSTerraformDataDog

Our Impact in Numbers

47
Projects Delivered
€12M+
Client Revenue Impact
99.9%
Average Uptime Achieved
94%
Client Retention Rate

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