WE VALIDATE WORKFLOWS SO YOU CAN DRIVE YOUR ROADMAP FASTER

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At the forefront of healthcare innovation, we provide nurse-powered AI annotation and validation services designed specifically for startups building AI and LLM-driven digital health products. Our licensed U.S. nurses bring clinical expertise to the data pipeline, ensuring that every labeled dataset reflects real-world care patterns and domain accuracy. From medical notes to structured EHR fields, we offer data labeling with clinical accuracy, giving you confidence that your models are learning from the most trustworthy sources.

As generative AI rapidly enters healthcare workflows, ensuring LLM safety for medical documentation is critical. We embed experienced clinicians into your model development process to validate AI-generated summaries, SOAP notes, and encounter documentation. By implementing a human-in-the-loop clinical AI approach, we monitor for hallucinations, clinical errors, and context mismatches before they reach the end user—supporting both patient safety and provider trust.

Our services are tailored to digital health startups looking to scale with clinical oversight, from pilot to production. Whether you're developing a virtual scribe, remote monitoring platform, or clinical decision support tool, we test and simulate real-world workflows with nurse reviewers to identify friction, edge cases, and safety gaps. This approach ensures your tools are usable, compliant, and built to integrate seamlessly into the clinical environment.

Ultimately, we help you increase AI model accuracy in value-based care settings by aligning data annotation and validation with the priorities of quality, cost, and risk adjustment. Our nurse-led team supports not only the technical development of your product but also its operational viability in risk-based arrangements. By combining technical innovation with clinical insight, we help your AI solutions deliver real impact safely, reliably, and at scale.