Corporate knowledge and verifiable answers
Search across complex documents with cited evidence, controlled corpora, permissions, model cost, and answer quality.
Experience in data, AI, maps, catalogues, and operational architecture
The public section contains anonymized tasks and engineering reviews: context, constraint, architecture decision, tradeoff, and outcome. Confidential client names are not published.
operating areas
Recurring problem classes in our projects
AI search, geodata, and registries need the same discipline: normalized data, clear permissions, verifiable sources, fast interfaces, and observable operations.
Maps and territorial analytics
Maps as operational tools: layers, data provenance, object search, territorial comparison, and reliable mobile use.
Registries and selection systems
Catalogues and registries with normalized data, deadlines, sources, filters, and controlled updates.
anonymized reviews
Fintech, healthtech, and commerce: three detailed scenarios
Each review records the original constraint, selected architecture, accepted tradeoffs, and operational outcome without invented testimonials or decorative metrics.
Financial platform: growth without downtime
How to stabilize payments, separate service responsibilities, and prepare the system for load growth.
Healthtech: data, access, and reliability
A review of a system where access roles, audit logs, data quality, and interface resilience are critical.
E-commerce: catalogue, search, and performance
Catalogue, search, cache, queue, and analytics optimization for a platform with growing traffic.
engineering journal
Engineering journal on decisions and cost
The journal includes articles on AI cost, monoliths, TypeScript, RAG, Kubernetes, and PostgreSQL under load.