Selected case studies
A look at the kinds of products, platforms, and engineering challenges we work on. Client names stay confidential, but the problems, decisions, and results are real.
Luxury car rental platform
Problem: A premium UK rental brand was relying on an outdated booking system that no longer matched the way the business operated. It was inconvenient for the team, offered limited flexibility, and made day-to-day booking management harder than it needed to be.
Solution: We built a custom booking platform with real-time availability, dynamic pricing, centralized fleet management across all locations, and a straightforward checkout flow for customers.
Fitness & Wellness
Global fitness platform
Problem: A premium wellness brand with locations across Europe and the Middle East had a full visual rebrand ready but no one to build it. Their existing Webflow site needed more than a facelift — the structure had grown, new pages were coming, and parts of the experience required custom behaviour that Webflow alone couldn't handle.
Solution: We rebuilt the site in Webflow with a significantly expanded page structure, custom JavaScript for interactive and animated elements, and a result that matched the design intent down to the details.
Renewable Energy
EU collaboration & strategy platform
Problem: A European renewable energy marketplace needed a platform to connect buyers and sellers — companies looking for green energy solutions with producers and suppliers who could deliver them. The matching process, negotiations, and deal flow all had to happen in one place.
Solution: We built a custom marketplace on Vue.js/Nuxt where energy projects are listed with full descriptions, suppliers can submit offers and propose pricing, and both sides can communicate directly inside the platform. Every part of the deal flow — from discovery to negotiation — happens in one place.
React and Node.js developers for e-commerce company
Problem: A Netherlands product company was building an e-commerce platform and needed senior frontend and backend engineers who could jump in without a long handoff period. Their in-house team had the vision but not the capacity to execute on schedule.
Solution: A frontend and backend developer from our team joined the project, worked as part of their core team for two years, and stayed on for periodic support tasks after the main build wrapped.
On-demand services marketplace, Switzerland
Problem: A Swiss startup needed a two-sided marketplace connecting service providers with customers. Different user types required separate interfaces, the deal flow needed to be largely automated, and the admin side had to give full visibility without constant manual intervention.
Solution: We built a web platform with distinct interfaces for customers, providers, and admins. The dashboard gave operators real-time control over transactions, provider status, and deal pipelines. Automation handled the repetitive parts of the deal lifecycle end to end.
.NET engineers for US logistics company
Problem: A US logistics software company needed to migrate their legacy system to the Microsoft platform without slowing down their product roadmap. Hiring locally would have taken months. They needed two senior .NET engineers who could own their work without daily oversight.
Solution: Two senior .NET developers joined the project and worked independently alongside the client's team. The migration moved forward on schedule while the roadmap kept its pace.
LLM engineer for a German internal AI product
Problem: A German company was building an internal AI assistant for its own documents and business knowledge. The team had a clear idea of what they needed, but no one with practical experience in LLM integration and retrieval-based systems to move it forward.
Solution: A senior Python engineer joined the team and helped design the retrieval pipeline, set up the knowledge indexing flow, and integrate the assistant with the LLM stack. The project moved from early prototype to a working internal tool.
AI agent engineer for an Austrian SaaS product
Problem: An Austrian SaaS company wanted to add AI-driven workflow features so users could trigger multi-step actions without writing code. Their product team was strong, but no one had practical experience building this kind of functionality.
Solution: An AI engineer joined the team, built the agent layer on top of their existing backend, and handled the tool and API integrations. The feature shipped on time.
AI-assisted lead qualification for a UK B2B company
Problem: A UK B2B company was getting more inbound leads than its sales team could properly qualify. Qualification was manual, inconsistent, and slow. Good leads were going cold while the team was busy sorting through ones that would never convert.
Solution: We built a lead qualification workflow that pulled context from the CRM, submitted documents, and email history, then generated a structured summary with a suggested next step for the sales rep. Response time dropped from days to minutes, and the team stopped losing strong leads to slow follow-up.
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