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NIX developed a custom iOS web app wrapper for Progress Play’s betting platform, saving significant time and resources compared to full native development. This enabled the client’s operators to immediately access the high-value iOS market while ensuring full regulatory compliance.
NIX conducted a rigorous LLM benchmarking, bridging OpenAI with AWS Bedrock models within the LLM evaluation framework.
The NIX team reduced the workload of Indian healthcare facilities by 40% by implementing an AWS Bedrock-based clinical assistant.
NIX developed and optimized a custom LLM solution with 98% precision in elderly patient hazard prevention.
Through an in-depth Well-Architected Review, NIX’s team successfully optimized the data governance provider.
NIX conducted a meticulous evaluation of an AI-driven financial application, optimizing its security by up to 98%.
NIX built a secure AI-powered internal support assistant for a US-based technology enterprise, automating employee helpdesk requests and knowledge access to achieve 70% faster ticket resolution and a 25% reduction in support workload.
NIX modernized a US children’s audio storytelling platform end to end, achieving 60% more stories played per user, a 35% cut in admin workload, and significantly faster streaming performance.
NIX developed an all-in-one AI search engine for a Fortune 500 healthcare company to manage diverse data, resulting in 70% faster query processing and 90% improved search relevance.
NIX built an AI solution for an F&B innovator to classify 100k posts in under an hour, delivering rapid insights for data-driven product innovation.
NIX developed an AI-powered agent for predicting ticket prices at event venues.
NIX empowered a major customer service company with a unified AI environment that simplified experimentation, improved collaboration, and accelerated the delivery of new AI-driven features.
NIX developed a new SDK wrapper for both iOS and Android based on the industry-leading Prebid SDK.
NIX designed an AI-powered app that provides mental health support to users.
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