About PEAKE AI Lab

Independent AI Guidance for Medical Practices

Every week, your practice gets pitched AI solutions that promise to “transform operations overnight.” You need guidance you can trust, not more sales presentations.

PEAKE AI Lab provides that independent perspective.

We’re a healthcare-first AI evaluation platform where technology experts review tools for real medical practice environments. Think of us as your trusted advisor in navigating the AI landscape.

PEAKE AI Lab provides that independent perspective.

We’re a healthcare-first AI evaluation platform where technology experts review tools for real medical practice environments. Think of us as your trusted advisor in navigating the AI landscape.

Healthcare IT Expertise

We Understand
Your Challenge

Your practice needs technology that enhances operations without disrupting workflows.

Your team has seen “revolutionary” tools create more problems than solutions.

Your IT budget can’t afford expensive mistakes that sit unused after implementation.

You need unbiased evaluation from experts who understand medical practice operations.

Our 8-Point Evaluation System

We test every AI tool across the criteria that matter most to medical practices:

Clinical Impact

Does this solve a real operational problem?

Security & Compliance

HIPAA compliance and data protection standards

EHR Integration

Compatibility with Epic, Cerner, ModMed, Athena, and more

Ease of Use

Will your staff actually adopt this tool?

Implementation Complexity

True setup time and technical requirements

Customer Support

Quality of ongoing help when issues arise

Financial Stability

Company maturity and long-term viability

Cost/Value Analysis

Total cost of ownership vs. measurable benefits

AI Moves Fast, It Takes an Expert to Keep Up

Most “AI solutions” are expensive wrappers. Observability and transparency into the underlying models and training used are key to understanding how effective an AI model will be for your use case.

Integration timelines are consistently underestimated. Understanding how EMR integrations are executed and if templates are in place for custom AI agents are paramount to understanding time and resource allocation during go-live.

Leadership and expertise matters more than ever. Many AI technologists do not have the medical expertise to make products which are easy to use and consistently solve problems. An AI model is only as good as its training, and this requires industry specific data and evaluation criteria that only a healthcare expert will truly understand. 

Human support in the age of automation. While AI support can be a great tool, human centered training and support is critical. Getting the most out of your AI solution requires active human intervention and monitoring in order to continually improve the AIs quality and accuracy. 

Medical grade security and training needs to adapt for AI. Understanding how your data will be leveraged to train and improve models, as well as how patient data is handled during AI interactions is critical in trusting AI vendors.