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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 LifecycleIt starts at the data boundary: what data may be used, where it is processed and where a clinician or analyst must review. We build claims analytics, cited search across policies and data, and privately hosted models for health systems, payers and pharmacy benefit managers.
Keep patient data inside a governed boundary. Where possible, de-identify it using HIPAA's Safe Harbor method, which removes 18 types of identifiers, or expert determination, and treat any vendor that handles protected health information as a business associate under contract. We run sensitive workloads on privately hosted models in your environment, with audit logs and human approval for consequential actions.
AI lets business teams ask claims and utilization questions in plain language and get a checked query, a chart and an explanation instead of waiting for specialists. For a pharmacy benefit manager we designed three cooperating agents, one to write the query, one to build the chart and one to explain the result with evidence, with human review of every client-facing result.
A patient engagement partner should connect scheduling, billing and messaging into one patient record rather than add another app. For a multi-location healthcare network we unified these tools into one platform, with an AI assistant answering routine scheduling and billing questions around the clock.
Ground every answer in approved sources, show the source behind each statement, test against questions with known answers and have the system say when its sources do not support an answer. Citations alone are not proof, so specialists should review anything that reaches patients or clients.