Chorrie Company Profile

Background

Chorrie is a no-code platform that leverages artificial intelligence (AI) to assist medical billing teams in preventing denied and under-billed insurance claims. By utilizing large language models (LLMs), Chorrie enables billing teams to transform their manual claim quality assurance processes into automated correctness checks. The company was founded in 2024 by MIT computer science graduates and former Google employees, Christopher Schlaepfer and Jorrie Brettin. Their mission is to empower healthcare practices to eliminate claim denials and under-billing through AI-driven automation.

Key Strategic Focus

Chorrie's strategic focus centers on:

• Empowering Medical Billing Teams: Providing tools that allow billing teams to automate claim correctness checks, reducing human error and improving efficiency.

• No-Code AI Solutions: Offering a platform that enables subject matter experts to create automated checks without requiring programming skills.

• Scalable Automation: Utilizing a plaintext-to-decision-tree-to-code generation approach to automate complex rule systems in medical billing.

Financials and Funding

As a participant in Y Combinator's Fall 2024 batch, Chorrie has received initial funding to support its development and growth. Specific details regarding total funds raised, recent funding rounds, and notable investors have not been publicly disclosed.

Pipeline Development

Within a month of launching with its first client—an ophthalmology practice with eight clinics and four surgery centers—Chorrie identified over $300,000 in claims that were either under-billed or would have been denied. The company plans to expand its client base and continue refining its platform to address a broader range of medical billing challenges.

Technological Platform and Innovation

Chorrie's platform stands out due to its:

• Proprietary No-Code AI Platform: Allows medical billing teams to create automated correctness checks without coding knowledge.

• Large Language Models (LLMs): Utilized to translate simple, deterministic instructions into code-based decision trees for automated claim checks.

• Deterministic and Explainable AI: Ensures that automated workflows produce consistent and understandable outcomes, minimizing the risk of AI hallucinations.

Leadership Team

• Christopher Schlaepfer, Co-founder & CEO: An MIT computer science graduate with experience at Google, where he worked on applied AI for content moderation. Prior to Chorrie, he held roles at RestEasy and Tripadvisor.

• Jorrie Brettin, Co-founder: Also an MIT computer science graduate and former Google employee, Brettin focuses on empowering subject matter experts to write unit tests for medical coding and billing workflows.

Leadership Changes

There have been no recent significant changes or appointments within Chorrie's leadership team since its founding in 2024.

Competitor Profile

Market Insights and Dynamics

The medical billing industry is complex and prone to errors, with 73% of healthcare staff reporting increasing denials on outgoing claims. The market for AI-driven solutions in medical billing is growing, driven by the need for efficiency and accuracy.

Competitor Analysis

Key competitors in the AI-driven medical billing space include:

• Olive: Offers AI solutions for healthcare operations, including revenue cycle management.

• Cedar: Provides patient payment and engagement platforms with AI capabilities.

• Waystar: Specializes in revenue cycle technology with AI-driven claim management.

These companies focus on automating various aspects of medical billing and revenue cycle management, aiming to reduce errors and improve financial outcomes for healthcare providers.

Strategic Collaborations and Partnerships

Chorrie is a participant in Y Combinator's Fall 2024 batch, which provides access to a network of investors, mentors, and resources to support its growth. Specific details about other collaborations or partnerships have not been publicly disclosed.

Operational Insights

Chorrie's competitive advantages include:

• No-Code Platform: Enables rapid adoption by medical billing teams without technical backgrounds.

• AI-Driven Automation: Reduces human error and increases efficiency in claim processing.

• Scalability: The platform's design allows for easy adaptation to various medical billing scenarios and rules.

Strategic Opportunities and Future Directions

Chorrie plans to:

• Expand Client Base: Target additional healthcare practices to broaden the impact of its platform.

• Enhance Platform Capabilities: Continuously improve AI models and user interfaces to address a wider range of billing challenges.

• Explore New Use Cases: Apply its AI-driven automation approach to other fields with complex, manual processes prone to human error.

Contact Information

For more information, visit Chorrie's official website.