Get the medical expertise your AI needs to perform in real care settings. From model training to validation and QA, clinicians help you build with clinical accuracy, speed, and confidence.
Clinical judgment is your model's secret weapon
Work with practicing clinicians to define meaningful signals, guide safe reasoning, and improve model behavior in real clinical settings because LLMs and agents can't guess what happens at the bedside.
Accuracy isn't optional when health is on the line
Engage board-certified specialists to annotate edge cases, high-risk scenarios, and complex diagnostic inputs with the nuance required for real clinical decision making.
Clinical reinforcement learning from human feedback, done right
Train and fine-tune models and agents using the judgment of experienced physicians. From scoring outputs to shaping escalation and exception logic, clinicians help AI systems operate safely and reliably in care workflows. partners in care, not liabilities.
Because clinical practice evolves and your models should too
Clinicians continuously stress-test reasoning, flag unsafe behaviors, and validate outputs to keep models stay aligned as standards of care as guidelines, workflows and reimbursement change.
Align model behavior with clinical workflows, decision-making patterns, and real-world care delivery by bridging AI development and clinical practice.
Support image labeling, edge-case validation, and clinical review for FDA-ready computer vision models.
Guide training data selection, annotation, and RLHF for ECG interpretation, arrhythmia detection, and cardiovascular risk prediction.
Label high-complexity biomarkers, refine precision medicine models, and validate outputs for clinical-grade genomic interpretation.
Evaluate triage systems, remote monitoring agents, and symptom checkers that must perform safely under uncertainty and time pressure.
Assess inpatient decision-support tools, population health models, and care coordination agents across complex, multi-condition patient populations.
Ensure AI tools reflect real-world clinical reasoning for complex, nuanced conditions like epilepsy, stroke, and mental health disorders.
Contribute frontline perspectives on workflow integration, usability, and practical care delivery across real clinical environments.
Engage board-certified physicians to guide, validate, and improve your AI-so you can build smarter, safer systems with confidence.
