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We work with health systems, pharmacy benefit managers, healthcare technology and services companies, and healthcare-focused investors. Our work covers claims and clinical analytics, patient access, digital experience and the engineering underneath.
Every engagement starts at the data boundary. Before any model is chosen, we agree what information may be used, where it may be processed and where a person must review.
Then we build working systems: agents that answer claims questions with evidence, patient journeys that get people to care faster and delivery pipelines that keep regulated software auditable.
Business teams ask questions about claims data in plain language and get a checked query, a chart and an explanation. Specialists review results before they reach a client.
AI Employee ProductivityWe turn broad AI ambitions into week-by-week plans with governance built into every workstream. Each plan ends with a funded first build.
Strategic ExecutionWe design websites and journeys around how patients look for care, from a symptom question to a booked appointment. That includes how your organization appears when patients ask AI assistants.
Human Experience & Design SystemsWhen a content platform reaches end of life, we plan the migration, the rebrand and the patient journey as one program. Pages are rebuilt once instead of twice.
Human Experience & Design SystemsSensitive workloads run on privately hosted models inside your environment. Audit logs and human approval cover every consequential action.
Private AI Models and SLMsClinicians and analysts search policies, research and data together and see the source behind every answer. The system says so when the sources do not support one.
Enterprise Search IntelligenceOur engineers work inside your team to deliver AI-assisted software in which every requirement links to its code, tests and release evidence. Audits find the evidence already in place.
AI Development Lifecycle