We support healthcare organizations with built-in tools for governance and model risk management. Vellum supports evaluation frameworks that test and measure model accuracy, reliability, latency, and cost before deployment. We also support bias testing and compliance documentation to meet model risk management standards. By separating environments for development, testing, and production, Vellum supports safer updates and minimizes the chance of errors in live systems.

We support integration by structuring data outputs so they can flow directly into EHRs and other systems. Vellum supports use cases like chart summarization, prior authorization, and insurance eligibility verification, all of which require working with external systems. We support verification steps like cross-checking provider availability or insurance coverage before automating tasks, which ensures that clinical and administrative workflows stay accurate and compliant.

We support collaboration across roles so that healthcare teams aren’t limited to engineers. Vellum supports a low-code builder alongside an SDK, making it possible for clinicians, product managers, and compliance leads to participate in building or refining AI workflows. We support same-day improvements by allowing non-engineers to make changes safely, while engineers maintain control of the underlying code when deeper customization is needed.

We support safe deployment by giving teams ways to test, validate, and monitor AI outputs. Vellum supports performance thresholds and evaluation frameworks so you can measure accuracy and reliability before going live. We support human escalation paths, ensuring that high-risk or ambiguous cases can be routed to clinicians instead of relying fully on AI. After deployment, Vellum supports ongoing monitoring and traceability, so if an edge case occurs, your team can replay and analyze exactly what happened.

We support measurable ROI by reducing the time it takes to go from idea to production. Vellum supports faster AI delivery—customer stories show improvements of up to 40%—and makes it easier for non-engineers to implement same-day updates. We support administrative cost reduction through workflows like patient intake, prior authorization, and ambient scribing that remove repetitive manual steps. We also support compliance teams by cutting down the effort needed to prepare security and regulatory documentation.

We support teams in starting small and scaling safely. Vellum supports pilot use cases like patient intake or clinical summarization that allow you to prove value without taking on high clinical risk right away. We support cross-functional collaboration by giving clinicians, engineers, and compliance leads shared tools to define success criteria and test workflows. We support rapid iteration in a safe environment, so once a pilot succeeds, you can expand into more complex workflows and additional departments.

We support VPC deployment so your data never leaves your own cloud, giving you hospital-grade control without building the system yourself. Vellum supports HIPAA and SOC 2 compliance, encryption, and audit trails out of the box, helping clinicians trust that patient data is protected. We support faster rollout with templates and a simple UI, so clinical teams can test and refine workflows directly with engineers. This means safer adoption, quicker feedback, and less time lost to paperwork or manual charting.

Yes. We support two deployment models. SaaS for a fast start, and VPC for full data-plane isolation inside your AWS, GCP, or Azure account. In the VPC setup, all routing and processing of PHI stays inside your network, with private endpoints to model providers, bring-your-own keys, and strict access controls. We support your logging, monitoring, IAM, and change-management processes so security, compliance, and IT teams keep the same guardrails they already use for other clinical systems—while product teams can still ship AI features faster.