Case Studies

We built a condition monitoring AI platform for a US-based manufacturer to monitor critical equipment, detect early signs of wear, and predict potential failures. It helps maintenance teams plan timely repairs, reduce unplanned downtime, and improve equipment reliability through continuous monitoring and AI-powered insights.

We built a business intelligence platform for an Australian telecom operator that unified billing, CDR, network, and CRM data. The solution enabled churn prediction, fraud detection, revenue tracking, and self-service analytics. It helped teams make faster, data-driven decisions, reduce revenue leakage, and improve customer retention.

We built an automated estimating platform for a landscaping contractor that uses AI to measure properties from aerial imagery and site photos. It applies consistent pricing to generate accurate estimates and interactive digital proposals. This helps the contractor speed up bid turnaround and allows clients to review and approve quotes online.

We developed a customer service AI chatbot for a US-based electronics retailer, integrating conversational AI with live order and warranty data. The solution automated routine support queries, enabled faster responses, and routed complex cases to the right agents, improving support efficiency and customer experience.

We developed an AI-powered competitor tracking solution for eCommerce with Alena Solutions, a US-based digital product studio. The platform automates competitor price monitoring, product matching, and market analysis, helping eCommerce businesses identify market changes, make informed pricing decisions, and reduce manual research.

We built a solar eCommerce and installer app for Solmerce, helping homeowners across Europe find the right solar system, calculate savings, and purchase solar kits with confidence. Using React Native, Laravel, and Bagisto, we connected solar sizing, ROI calculations, secure payments, and installer management in one localized platform, simplifying the journey from initial research to verified installation.

We built an AI-powered load forecasting platform for an electric cooperative in the Upper Midwest, using machine learning to analyze weather, smart meter, and market data. The platform helped energy planners improve demand predictions, anticipate peak periods, and make more informed power purchasing decisions.

We developed an AI-powered grid management platform for a regional electric utility in the US Southwest, using machine learning and real-time grid, weather, and asset data. The platform improves demand forecasting, supports renewable energy balancing, predicts equipment failures, and enables proactive maintenance to strengthen grid reliability.

We built an AI-powered radiology training platform with automated scoring for a U.S.-based medical education technology company. The platform uses computer vision to evaluate image annotations and natural language processing to assess written reports against expert references. It enables consistent, scalable evaluation and provides residents with instant feedback.

We built a HIPAA-compliant conversational AI solution for a U.S.-based clinic network that confirms and reschedules appointments and follows up with patients through natural two-way conversations. It verifies patient identity before sharing appointment information and routes complex cases to staff.