Nilo provides a SaaS platform utilizing Artificial Intelligence and automation to enhance the financial results and operational efficiency of healthcare institutions. The solution supports ecosystems, providers, and payers by creating digital patient journeys that improve acquisition, conversion, and retention. Key features include AI agents for risk stratification and care navigation, integrated data management via HL7 FHIR, and performance dashboards for clinical and operational oversight.
Funding
$13.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
UVFounders
Product
Problem
Healthcare payers and providers in Latin America face challenges in effectively acquiring, engaging, and navigating patients through their healthcare journeys, leading to inefficiencies and suboptimal health outcomes. Traditional methods often result in low patient adherence to treatment plans and limited engagement, hindering the overall effectiveness of healthcare delivery.
Solution
Nilo Saúde offers an AI-powered platform designed to streamline patient acquisition, engagement, and navigation for healthcare organizations. The platform leverages intelligent automation and AI agents to identify and prioritize patients, create personalized communication strategies, and facilitate risk stratification and care coordination. By connecting patient journeys and data, Nilo Saúde enables healthcare providers to improve patient adherence, increase engagement, and optimize care pathways. The platform's interoperability and integration capabilities allow for seamless data exchange and a unified view of patient information, empowering healthcare teams to deliver more effective and efficient care.
Target Audience
Nilo Saúde primarily targets healthcare payers, providers, hospitals, and clinics in Latin America seeking to improve patient acquisition, engagement, and navigation while optimizing operational efficiency and financial outcomes.
Features
- AI-powered agents for automated patient navigation, task management, and data structuring
- WhatsApp integration for secure and encrypted patient communication and data capture
- Interoperability with existing systems through HL7 FHIR APIs for connected care journeys
- AI-driven sentiment analysis and summarization of patient interactions
- Customizable care pathways and intelligent protocols for personalized patient experiences
- Interactive dashboards for monitoring clinical, operational, and financial metrics
- Secure and compliant platform adhering to LGPD regulations with CASB certification