Case Studies

Explore how Binariks partnered with a US-based occupational health provider to revolutionize workplace safety analytics.By leveraging Python and AWS, we developed a comprehensive data platform that processes health and posture data collected via wearable sensors. The solution accelerates risk analysis from weeks to minutes, delivers actionable insights for injury prevention, and supports data-driven decisions. This platform bolsters the client's reputation as a tech-enabled partner and opens new opportunities for growth in workplace wellness.

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Binariks supported a German healthtech company in enhancing the quality and regulatory readiness of its AI-poweredcardiac screening platform. By introducing structured QA processes and enabling a transition to a Raspberry Pi–based architecture, we improved diagnostic reliability, accelerated development, and ensured 80% test coverage – positioning the product for scalable, non-invasive heart disease detection.

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Binariks helped a global insurer automate risk analysis across unstructured claims documents using OCR, LLMs, and RAG.The AI-driven system reduced manual processing time by 90%, improved auditability with citation-backed insights, and enabled five times future scalability via modular, Azure-based microservices. Delivered as an MVP, the solution now supports critical decision-making across claims and risk teams.

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Binariks developed a satellite-based traffic analysis system for CUENDE, a market research company specializing inoutdoor advertising measurement. We implemented machine learning, GIS integration, and robust data processing infrastructure while ensuring complete data privacy compliance, enabling accurate traffic calculations and optimal advertising inventory optimization.

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