Real engagements. Measurable outcomes.

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 edge-based AI computer vision system that detects shrink-wrap packaging defects in real time and scales across production lines from a single multi-task model, removing per-line calibration and operator subjectivity from the inspection process.

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.

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 built an AI-powered quoting and knowledge platform that puts three decades of technical expertise at every sales rep's fingertips, turning a manual research process into instant, evidence-backed answers.

OneSix enhanced the student experience for CIEE, a worldwide nonprofit study abroad and intercultural exchange organization—by developing an AI chatbot powered by Snowflake Cortex Search.

OneSix developed a scalable horse workout tracking application using advanced computer vision, multi-camera arrays, and ultra-wideband tracking to monitor key performance metrics and detect early signs of injury.

OneSix designed and implemented a computer vision-based product identification pipeline capable of rapidly identifying products on grocery store shelves.

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 partnered with a healthcare data company to build a secure, scalable data platform using Snowflake, Python, and Sigma—enabling centralized data management, automated reporting, and robust governance.