SUCCESS STORIES
A look at how we've helped organizations with high data complexity turn investments in data and AI into production systems that deliver.
OneSix built an AI product recommender that maximizes conversion and lets non-engineering teams tune it through low-code tooling.
OneSix built a large-scale genomics analytics platform that applies machine learning to identify and prioritize cancer-specific protein targets, accelerating the client's target discovery timeline while reducing toxicity risk.
OneSix built an AI-powered lead generation engine that surfaces high-propensity buyers from third-party signals and unstructured data, replacing manual, rules-based prospecting with prioritized accounts the sales team can act on.
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OneSix designed and delivered a modern cloud governance and catalog program that retired the university's on-premise stack and embedded standardized business terms, data quality, and stewardship into day-to-day operations.
OneSix built a secure, unified data hub and Student Lifecycle Framework that gives every student-facing office a single, accurate view of the student journey from prospect through alumni.
OneSix developed a scalable multi-touch attribution solution for a biopharmaceutical company, enabling precise measurement of marketing impact across channels, optimizing budget allocation, and accelerating data-driven insights for increased healthcare provider engagement.
OneSix developed a personalized, data-driven marketing platform for a real estate client, driving increased revenue, customer engagement, and establishing a scalable foundation for long-term, automated personalization.
OneSix developed a recommendation engine for a private equity concierge service, using a large language model to match the best service providers from a large network, integrated into Salesforce with real-time chatbot functionality.
By implementing a unified Customer 360 data solution, OneSix enabled Leader Bank to enhance customer service, drive data-driven marketing, improve data quality, and boost operational efficiency.
OneSix developed an AI-driven, multi-channel outreach engine for a global pharmaceutical client, enabling automated, personalized provider engagement across brand portfolios with scalable, data-informed insights.
OneSix developed a deep learning-powered forecasting engine that improved demand forecast accuracy by 24% and automated long-range, hourly projections across 1,000+ buildings to support energy program participation.
OneSix developed a high-speed, accurate crop detection model for an agricultural firm’s autonomous weeding robots, enhancing operational efficiency and sustainability through adaptable, AI-driven solutions for multi-crop environments.
