— Real Deployments
A growing catalogue of AI systems we’ve shipped — the problem we walked into, the system we built, and the measurable outcome it delivered. Filter by industry.
A regional health network struggled with fragmented patient records across disparate EHR systems, causing critical gaps in care continuity and clinical decision-making.
A managed care organization needed to proactively identify high-risk patients across chronic disease populations before acute events triggered costly interventions.
A multi-site ambulatory network was losing patients to disengagement and missed follow-ups due to generic, poorly timed outreach that failed to reflect individual care context.
A post-acute and long-term care provider needed to move beyond reactive fall incident reporting toward predictive identification of residents at imminent fall risk.
A global manufacturer was losing critical operational knowledge to workforce attrition and document sprawl — slowing engineering decisions and increasing shop floor errors.
A defense contractor managing a large federal contract portfolio needed to accelerate obligation reviews, identify compliance risks, and reduce reliance on senior legal staff.
A national property management firm was losing recoverable utility revenue due to inaccurate cost allocations, billing disputes, and inability to forecast consumption variance.
A large facilities services organization was experiencing revenue leakage and audit exposure due to manual reconciliation unable to keep pace with transaction volume.
A government and military canteen operator needed to eliminate food and energy wastage across high-security establishments and generate daily intelligence toward net zero targets.
A facilities management company operating large-scale catering operations was over-purchasing raw materials against poorly estimated demand — driving up costs and spoilage.