Case Studies
Selected projects showing engineering challenges, our contribution, technical approaches, and outcomes.
We transformed the manual insurance claim process into a fully AI-automated pipeline using large language models and computer vision, significantly reducing processing time and cost.
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We developed a smart data collection and analytics system for the used car market, enabling real-time insights on pricing trends, listing durations, and model-specific behaviors.
Read Case StudyWe developed a brand-new UI Kit to replace the legacy component system, solving accessibility issues and modernizing frontend architecture by leveraging unstyled PrimeReact and modular CSS.
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We built an AI-powered loan estimation tool where users simply upload a photo of their car to instantly receive financing options based on real-time market data and LLM analysis.
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We developed a fully guided photo capture experience powered by in-browser AI, helping users take accurate car photos from all required angles, and enabling instant damage detection—all without server-side inference.
Read Case StudyWe developed a dynamic configuration system that allows platform customization at every level—UI, features, logic, and analytics—unlocking scalable onboarding for enterprise clients.
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We executed a full-scale cloud migration of a production-grade system—from GitLab and DigitalOcean to Azure—rebuilding CI/CD, infrastructure, and service integrations for long-term scalability.
Read Case StudyWe built an internal image editor that allows users to modify attachments, recover previous versions, and highlight visual elements—all within our application. No third-party tools required.
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