Maribel offers an AI-native operational platform that sits between a health system’s clinical, financial and record systems to provide real‑time monitoring, variance detection and actionable intelligence. The platform lets organizations codify business rules and playbooks, automatically route alerts and tasks to the right staff, and maintain a transparent, auditable AI trust layer while keeping control of their data and infrastructure.
Funding
$25M 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.
Founders
Product
Problem
Healthcare organizations struggle with increasing operational complexity, loss of tribal knowledge, and delayed insight from static dashboards, leading to inefficiencies, widened care gaps, and strained staff.
Solution
Maribel provides an AI-native operational platform that sits between existing clinical, financial, and record systems to deliver real-time monitoring and actionable intelligence. The platform codifies business rules and playbooks using AI, continuously detects variances across integrated data sources, and routes the appropriate actions to the right personnel with the necessary tools. By offering a transparent, auditable AI trust layer, Maribel ensures recommendations are traceable and compliant, while allowing organizations to retain control over their data, models, and infrastructure.
Target Audience
Primary customers are health systems, payer organizations, and healthcare service providers seeking to improve operational efficiency, care coordination, and financial performance.
Features
- AI-native operations console that transforms static dashboards into real-time, actionable workspaces
- Governed AI trust layer delivering traceable recommendations and auditable actions without black‑box models
- Integration framework that connects to existing clinical, financial, and record systems without requiring a full replacement
- Rule‑engine for defining and automating business playbooks and operational policies
- Continuous variance detection across multiple data streams to surface issues before they impact margins or care quality
- Automated routing of alerts and tasks to the appropriate staff member with contextual tools and information