Real-Time Fraud Detection Engine
ML-powered transaction monitoring system processing 50,000+ transactions per second with sub-100ms decision latency. Reduced false positive rates by 73% for a Top-50 European bank.
Hardbridge is a global software engineering studio specializing in AI, fintech, and mobile development. From system architecture to production deployment — we engineer solutions for companies that demand reliability, performance, and scale.
From early-stage MVPs to enterprise-grade platforms. Six core disciplines, one standard: production-ready.
Selected projects demonstrating measurable impact in AI, fintech, and enterprise software.
ML-powered transaction monitoring system processing 50,000+ transactions per second with sub-100ms decision latency. Reduced false positive rates by 73% for a Top-50 European bank.
Cross-platform mobile banking app with biometric authentication, instant peer-to-peer transfers, and portfolio management. Built with Flutter, launched in 6 months.
IoT sensor data pipeline processing 1M+ events/sec with time-series anomaly detection, predicting equipment failures 72 hours in advance for a global manufacturing conglomerate.
Engineering rigor, radical transparency, and relentless focus on production-grade quality.
We deliver fast by making sound architectural decisions early — not by accumulating technical debt.
We integrate with your engineering team. Shared repositories, daily standups, same tools and coding standards.
40+ senior engineers distributed across 12 countries, unified by rigorous code review and engineering excellence.
Domain analysis, stakeholder interviews, technical requirements, and constraint mapping.
System design, technology selection, scalability planning, and security threat modeling.
Agile sprints, continuous integration and delivery, daily standups, and transparent progress tracking.
Production monitoring, performance optimization, feature iteration, and ongoing technical support.
Describe your project and receive a free technical assessment within 24 hours — including architecture recommendations, timeline estimate, and team composition.
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