We partner with scaling technology companies to solve their most pressing backend engineering challenges. The following projects demonstrate how our integrated approach delivers measurable results across different industries and technical domains. Each case represents a collaboration where deep expertise met specific business needs to create systems that scale, perform, and evolve.
Context: A German B2B SaaS company in manufacturing needed to process IoT sensor data from factory equipment in real-time. Their existing Python/Java backend couldn’t handle the data volume from new enterprise clients, causing dashboard latency of 15+ seconds and frequent timeouts during peak hours.
Solution: We integrated two senior Node.js/TypeScript engineers specialized in real-time data pipelines. They redesigned the architecture using Apache Kafka for event streaming, ClickHouse for time-series aggregation, and a Node.js microservice layer with WebSocket support for live dashboard updates.
Results: Data processing throughput increased from 5,000 to 85,000 events/second. Dashboard query latency dropped from 15 seconds to 230ms. System reliability improved to 99.97% uptime. The client successfully onboarded 3 new enterprise manufacturers without infrastructure issues.
Context: A Swedish payments fintech with a monolithic Ruby on Rails application was experiencing scaling bottlenecks during Black Friday sales. Their 8-year-old codebase made new feature development slow and risky.
Solution: We embedded a squad of three engineers (Node.js/TypeScript, DevOps, and system design) to lead the 9-month migration. They implemented a strangler pattern, starting with the payments service—building it as an isolated Node.js/TypeScript service with PostgreSQL.
Results: The new payments service handled 12,000 transactions/minute at peak (3x the monolith capacity). Deployment frequency increased from once per week to multiple times daily. Critical bug resolution time dropped from 4 hours to 25 minutes due to better observability.
Context: A Dutch travel technology company aggregating flights, hotels, and car rentals needed to rebuild their public API to serve B2B partners. Their existing PHP API was slow, poorly documented, and couldn't handle concurrent requests from new partners.
Solution: Our team of two senior backend engineers and one technical writer integrated with the client's product team. They built a Node.js/TypeScript GraphQL API with Apollo Server, implementing query complexity analysis, Redis caching, and sophisticated rate-limiting.
Results: API response times improved from 1.2 seconds to 85ms for cached queries. The platform successfully onboarded 22 new B2B partners in the first month, handling 15 million requests daily. Developer satisfaction scores from partners increased from 2.8 to 4.6/5.
Context: A UK-based HR technology startup needed to rebuild their single-tenant application into a true multi-tenant SaaS platform to support rapid enterprise customer acquisition. Their existing architecture couldn't isolate customer data effectively.
Solution: We embedded a senior backend architect and two Node.js engineers for 8 months. The team designed a multi-tenant architecture using schema-per-tenant in PostgreSQL with row-level security and built automated provisioning pipelines.
Results: New client onboarding time reduced from 14 days to 45 minutes through automation. The platform successfully scaled to support 67 enterprise tenants within 10 months, handling 2.3 million daily API requests.
Context: A Norwegian logistics company managing 500+ delivery vehicles needed to upgrade their legacy tracking system to provide real-time ETAs, dynamic route optimization, and predictive delay alerts.
Solution: Our team of three engineers (real-time systems, algorithms, and DevOps) integrated for 6 months. We built a Node.js event processing system that ingested GPS data via MQTT and processed it through a real-time optimization engine.
Results: Location tracking latency reduced from 5 minutes to 3 seconds. Route optimization reduced average delivery times by 18% and fuel consumption by 12%. Predictive delay alerts achieved 92% accuracy.
Our methodology is defined by deep integration rather than transactional delivery. We begin every engagement by embedding engineers directly into your workflow—joining your communication channels, adopting your development tools, and participating in your planning rituals. This initial immersion phase is non-negotiable; it builds the shared context necessary for high-velocity collaboration and ensures technical decisions are made with full awareness of your business objectives and architectural vision. The goal is to eliminate the "black box" effect of traditional outsourcing, where requirements disappear into a void and code emerges without rationale.
We prioritize ownership as the cornerstone of quality. Engineers from our partnership don't just build features to specification; they assume long-term responsibility for the systems they create. This is operationalized through shared participation in on-call rotations, collaborative post-mortems for incidents, and joint definition of reliability targets like Service Level Objectives. This accountability loop creates a powerful psychological shift: the developer who feels the direct impact of a midnight alert is intrinsically motivated to build more resilient, observable, and maintainable systems from the outset.
Our model enables elastic, specialized scaling. We function as an extension of your talent acquisition strategy, providing immediate access to senior, vetted experts in specific domains—be it real-time data pipelines, distributed system design, or API platform development. This allows you to address capability gaps or project surges without the 6-9 month lead time and long-term financial commitment of permanent hiring. The team composition is dynamic, scaling up with specialized squads for intensive build phases and scaling down to focused maintenance support, all while preserving critical institutional knowledge.
We champion architectural sustainability over short-term velocity. While we deliver quickly, our focus extends beyond immediate deliverables to the long-term health of your backend platform. This means advocating for and implementing foundational elements: comprehensive observability stacks, automated deployment pipelines, clean service boundaries, and thorough documentation. We build systems that are designed to evolve, making future enhancements—whether scaling tenfold or integrating new technologies—predictable and manageable rather than fraught with risk.
Knowledge transfer and capability building are integral, not ancillary. Our engagement model is designed to elevate your internal team's effectiveness. We practice paired programming, conduct deep-dive architecture reviews, and create living documentation that captures not just "what" was built but "why" critical decisions were made. The objective is to strengthen your organization's internal expertise, ensuring that the systems we help create remain fully understandable and modifiable by your core team, fostering independence rather than creating vendor dependency.
Communication and transparency are engineered into our process. We establish clear, predictable rhythms for synchronization—from daily technical stand-ups to strategic stakeholder reviews. Progress, challenges, and key metrics are communicated proactively through shared dashboards and concise updates. This creates an environment of trust and alignment, where potential obstacles are surfaced early and collaboratively addressed, keeping projects on track and expectations firmly managed.
We measure success through your business outcomes, not just our output. Our performance is evaluated against the tangible impact on your operations: reductions in system latency, improvements in deployment frequency, increases in platform stability, and acceleration of your product roadmap. This outcome-oriented alignment ensures that every line of code and every architectural decision is made in service of your strategic goals, not just the completion of a technical scope of work.
The partnership is structured for long-term evolution. We view our role not as a project-based vendor but as a strategic technical partner. As your business grows and your technology needs evolve, we adapt alongside you—providing continuity of context, deepening our understanding of your domain, and ensuring that the backend foundation we help build continues to serve as a robust engine for your growth, iteration, and innovation for years to come.