Outmatic
Insights
Notes from the work.
Case studies, articles, and lessons from the engineers and teams at Outmatic.
Selected work — case studies
9 projects
Luxury goods
Davidoff — Evolving a premium eCommerce for global rollout
Taking an existing platform further: new markets, smarter search, better performance, same brand craft. +45% page load speed and −60% content-management time across US, Swiss, and German rollouts.
Read the case study
Retail
Experia Group — A seamless omnichannel experience for a loyalty system
Retail
Experia Group — An advanced in-store promotions engine for a knitwear retailer
Retail
Near real-time stock availability, without rewriting the e-commerce
Banking
Credemtel — Test automation for continuous quality
Fintech
BKN301 — Building a payment platform from zero to production
Agribusiness
Bunge — Modernizing a legacy Permit to Work system
Agribusiness
Tampieri — Digitizing work permit management
Travel
Clictravel — A multi-provider booking engine for real-time travel sales
Articles
Search · 9 Jul 2026
Vespa.NET — a typed .NET client for Vespa, from schema to query
Vespa.NET is a strongly-typed .NET SDK for Vespa.ai. Define your document model in C#, deploy the schema from attributes, feed at scale, and query through a typed YQL builder.
AI · 15 Apr 2026
VoyageAI.NET — a typed .NET client for Voyage AI, built for production
We open-sourced VoyageAI.NET 1.0.0, a typed .NET client for Voyage AI's embeddings and reranking, with the production defaults we use on client RAG pipelines: AOT-safe JSON, managed HTTP, auto-batching, resilience.
AI · 3 Apr 2026
TurboQuant in .NET — When Compressing Embeddings Actually Makes Sense
We built and open-sourced a .NET implementation of TurboQuant, a near-optimal vector quantization algorithm. When it makes sense, when it doesn't, and what we learned working through the trade-offs with a real client.