Caregentic offers a model-agnostic, multi-modal platform for deploying secure, controlled AI assistants to provide 24/7 patient support. Their no-code builder enables health systems to launch personalized AI Agents that automate patient navigation, adherence, and administrative tasks. This solution reduces clinical burden while improving patient outcomes through real-time monitoring and HIPAA-compliant data governance.
Funding
Funding not disclosed

Founders
Product
Problem
Healthcare providers face significant administrative burdens and challenges in ensuring consistent patient engagement and adherence to care plans. This often leads to missed screenings, suboptimal patient journeys, and increased operational costs.
Solution
Caregentic offers a no-code platform for building and deploying AI assistants designed for personalized, 24/7 patient support within healthcare systems. The model-agnostic, multi-modal solution integrates seamlessly with existing workflows to automate patient communication, guidance, and monitoring. This approach helps close care gaps by ensuring patients remain on track with their treatment protocols and navigate their care journeys effectively. The platform provides automated instructions and support, reducing confusion and improving overall patient compliance and outcomes.
Target Audience
The primary customers are healthcare systems, hospitals, and clinics seeking to automate patient support, improve operational efficiency, and enhance patient outcomes.
Features
- No-code AI Builder for rapid deployment of custom AI assistants.
- Multi-modal communication capabilities supporting SMS, phone, and web portals.
- Model-agnostic architecture allowing integration with various AI models for specific tasks.
- Secure cloud hosting ensuring data privacy and compliance within controlled environments.
- Functionality to close care gaps through automated reminders for screenings, follow-ups, and medication adherence.
- AI-driven navigation for pre- and post-procedure patient journeys to enhance adherence.
- Automated delivery of clear pre- and post-operative instructions to minimize patient confusion.
- "Human in the Loop" feature for escalating high-risk conversations and ensuring clinician oversight.
- Real-time monitoring and explainability of AI agent decision-making for transparency and continuous improvement.
- Robust data governance, including a commitment to not using client data for training, and adherence to HIPAA and SOC II compliance standards.