Case studies
Each case study focuses on business goals, constraints, and measurable outcomes. Backend engineering is presented as a means to deliver product impact.
From MVP to production-ready subscription product with AI conversations and online billing.
Business value: Fast launch of a monetizable digital service combining expert knowledge with personalized user experience.
Outcome: A production SaaS product with predictable recurring revenue model and safe data handling.
View case studyContinuous monitoring of public registries without manual checking overhead.
Business value: Faster response to relevant listing changes and lower operational load through event-based alerts.
Outcome: 24/7 service that detects new records and sends non-duplicated notifications.
View case studyA single workflow from data acquisition to outbound campaign execution.
Business value: More qualified leads at lower operational cost and with higher data quality.
Outcome: Repeatable lead acquisition and campaign process ready to scale volume.
View case studyBackend services that streamline daily operations and cross-system data flow.
Business value: Shorter process cycle time and fewer manual errors in business-critical workflows.
Outcome: Predictable operations with clear reporting and stronger data control.
View case study