Penguin Ai
Penguin Ai provides an agentic healthcare platform designed to automate administrative workflows and reduce industry waste. The platform uses healthcare-native digital workers to accelerate processes like prior authorization, claims adjudication, and denials management. This results in measurable cost reduction, risk mitigation, and improved revenue integrity for healthcare organizations.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Enterprise Software
- Software Only
Funding
Raised to date
$29.7MRaised 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.
$25M across 1 disclosed round
+10$25M · Series A
Announced Sep 2025
Disclosed cumulative: $25M
Reported total $29.7M
Incomplete round history. $4.7M of the $29.7M reported total isn’t matched to a known round (1 known round has an undisclosed amount).
Founders
Product
Problem
Healthcare payers and providers face significant administrative burdens, leading to operational inefficiencies, delays, and increased costs. These manual processes are prone to human error, hindering the timely delivery of care to patients and members.
Solution
Penguin Ai offers a healthcare-native AI platform designed to automate administrative tasks for health insurance payers and providers. The platform utilizes custom-built healthcare language models, a robust LLM Ops framework, and secure data pipelines to streamline workflows and reduce manual bottlenecks. By augmenting the human workforce with digital workers, Penguin Ai enables faster approvals, reduced costs, and a seamless experience for providers and members. The platform ensures compliance with de-identification tools for PII, PHI, and PCI, and includes bias detection, correction algorithms, and real-time analytics for operational insights. Penguin Ai's flexible platform allows organizations to start with out-of-the-box digital workers, refine small language models (SLMs) on their data, or create new language models for specific tasks.
Target Audience
The primary target audience includes health insurance payers and healthcare providers seeking to automate administrative tasks, reduce operational costs, and improve the efficiency of their workflows.
Features
- Custom-built healthcare language models tailored for administrative tasks
- Robust LLM Ops framework for efficient model management and deployment
- Secure data pipelines ensuring data privacy and compliance
- Automated de-identification tools for PII, PHI, and PCI data
- Bias detection and correction algorithms to mitigate potential biases in AI models
- Real-time analytics dashboard for operational insights and performance monitoring
- Digital workers that automate repetitive administrative tasks
- Flexible deployment options, including out-of-the-box solutions and custom model development