Custom Software Solutions for Industry-Specific Challenges

Problem solved: K Health needed its virtual primary care platform to make sense of messy, varied patient symptom inputs and turn them into clinical guidance. It also had to fit into clinician workflows without compromising privacy or explainability.

Solution delivered: Citrusbug built AI symptom-analysis models with real-time inference pipelines. Their outputs feed structured clinical summaries into clinician dashboards and telehealth tools, over HIPAA-aligned data pipelines.

Outcome: Clinical triage became 45%+ faster, unnecessary in-person visits fell by 30%+, and patients got 24/7 access to virtual primary care.

Problem solved: Kardi AI’s wearable ECG strap produced continuous but noisy cardiac signals. The company needed to turn that data into reliable arrhythmia alerts and clinical-grade reports for cardiologists.

Solution delivered: We engineered BLE data pipelines with noise filtering and trained deep learning arrhythmia-detection models. Low-latency cloud inference powers real-time alerts and secure clinician reports.

Outcome: Arrhythmia detection reached 94% accuracy, and cardiac risks were flagged 60% earlier than with traditional episodic ECGs.

Problem solved: Lenders using Zest AI relied on legacy credit models and manual underwriting. That meant slow approvals, inconsistent decisions, fraud exposure and heavy compliance overhead.

Solution delivered: Citrusbug built an enterprise AI lending platform. It combines ML-driven credit underwriting, explainable AI decisioning, real-time fraud detection and automated compliance, and it integrates with existing loan origination systems.

Outcome: Loan approvals rose by 25%+, credit risk dropped by 20%+, and 80% of lending decisions are now automated.

Problem solved: Buyers in Germany had to use separate tools for property search, financing and ownership guidance. Just Home needed one platform that could handle large listing datasets across multiple languages.

Solution delivered: We built an advanced property search architecture with integrated financing and budget calculators. It also includes a multilingual Strapi CMS, alerts, and secure integrations with PayPal, AWS S3 and Cloudflare.

Outcome: The platform manages 50K+ property listings, and improved search and financing tools lifted inquiry conversions by 30%.

Problem solved: A logistics startup serving 500+ businesses in 15 countries struggled to manage high-traffic vehicle reservations, routing and delivery updates at ports, construction sites and large events.

Solution delivered: Citrusbug delivered a microservices-based platform. It provides real-time vehicle and delivery tracking, customisable sector-specific workflows, and CI/CD automation for reliable releases.

Outcome: The platform processes 10M+ vehicle bookings a year, booking time fell by 60%, and operational efficiency rose by 35%.

Problem solved: A North American EdTech startup needed to track student mood and engagement in real time. It also had to handle sensitive student data securely and integrate with existing school systems.

Solution delivered: We built a React Native app and educator dashboards on a secure Django, PostgreSQL and Redis backend. Real-time analytics turn emotional signals into personalised learning insights.

Outcome: The platform supports 100K+ concurrent users at peak hours, and infrastructure costs fell by 50%.