Mind Company
Product & Graphic Design, Branding
Product & Graphic Design, Branding
Product & Graphic Design, Branding
Desktop
Desktop
Desktop
Designing software interfaces and brand systems for AI-powered EEG hardware platform used in clinical settings
Timeline
May 2025 – Present
Timeline
May 2025 – Present
Timeline
May 2025 – Present
Services
Product design, Graphic design, Branding
Services
Product design, Graphic design, Branding
Services
Product design, Graphic design, Branding
Stack
Figma, Framer
Stack
Figma, Framer
Stack
Figma, Framer
Problem statement
Getting diagnosed with a sleep disorder can take weeks. Sleep clinics are overwhelmed, technicians spend hours manually reviewing test data, and physicians are backed up with reports.
Mind Company set out to fix that—with AI.
Why?
Create a simple, unified platform that:
Speeds up test review using AI
Works with any sleep test device or software
Helps technicians and physicians work faster and more accurately
Solution
We designed a platform that supports every step of the process:
1. Upload a Sleep Test
Technicians drag and drop a test file—no matter what machine or software it came from. Everything is processed and ready in one place.
2. Let the AI Do the First Pass
After the sleep study is recorded, our AI scans the data and suggests scores. This gives technicians a head start, saving hours of time.
3. Review & Approve (or Reject)
Techs stay in control. They can:
Approve or reject the AI’s suggestions
See confidence scores
Leave notes for clarity or follow-up
This keeps the human in the loop while still speeding up the process.
4. Generate the Report
Once the test is reviewed, physicians get notified. They log in, select a report template, make edits if needed, and download the final report—all without leaving the platform.
Live demo:
We designed a platform that supports every step of the process:
1. Upload a Sleep Test
Technicians drag and drop a test file—no matter what machine or software it came from. Everything is processed and ready in one place.
2. Let the AI Do the First Pass
After the sleep study is recorded, our AI scans the data and suggests scores. This gives technicians a head start, saving hours of time.
3. Review & Approve (or Reject)
Techs stay in control. They can:
Approve or reject the AI’s suggestions
See confidence scores
Leave notes for clarity or follow-up
This keeps the human in the loop while still speeding up the process.
4. Generate the Report
Once the test is reviewed, physicians get notified. They log in, select a report template, make edits if needed, and download the final report—all without leaving the platform.
Live demo:
We designed a platform that supports every step of the process:
1. Upload a Sleep Test
Technicians drag and drop a test file—no matter what machine or software it came from. Everything is processed and ready in one place.
2. Let the AI Do the First Pass
After the sleep study is recorded, our AI scans the data and suggests scores. This gives technicians a head start, saving hours of time.
3. Review & Approve (or Reject)
Techs stay in control. They can:
Approve or reject the AI’s suggestions
See confidence scores
Leave notes for clarity or follow-up
This keeps the human in the loop while still speeding up the process.
4. Generate the Report
Once the test is reviewed, physicians get notified. They log in, select a report template, make edits if needed, and download the final report—all without leaving the platform.
Live demo:
Research
Before diving into design, we spoke with:
Sleep technicians to understand their workflows, bottlenecks, and trust in AI
Physicians to learn how they review and finalize reports
Clinic admins to identify what slows down the process from test to diagnosis
Key Insights:
Most clinics use multiple devices and software, which don’t talk to each other
Scoring sleep studies is repetitive and can take hours per patient
Technicians want AI support, but only if they stay in control
Physicians need fast, editable reports they can trust
These insights shaped every part of the platform—from making it device-agnostic to building in AI transparency.
Before diving into design, we spoke with:
Sleep technicians to understand their workflows, bottlenecks, and trust in AI
Physicians to learn how they review and finalize reports
Clinic admins to identify what slows down the process from test to diagnosis
Key Insights:
Most clinics use multiple devices and software, which don’t talk to each other
Scoring sleep studies is repetitive and can take hours per patient
Technicians want AI support, but only if they stay in control
Physicians need fast, editable reports they can trust
These insights shaped every part of the platform—from making it device-agnostic to building in AI transparency.
Before diving into design, we spoke with:
Sleep technicians to understand their workflows, bottlenecks, and trust in AI
Physicians to learn how they review and finalize reports
Clinic admins to identify what slows down the process from test to diagnosis
Key Insights:
Most clinics use multiple devices and software, which don’t talk to each other
Scoring sleep studies is repetitive and can take hours per patient
Technicians want AI support, but only if they stay in control
Physicians need fast, editable reports they can trust
These insights shaped every part of the platform—from making it device-agnostic to building in AI transparency.
Impact
Partnered with top sleep clinics and data providers
Built to reduce patient wait times and ease the workload for providers
We’re actively improving the platform based on feedback and training the AI on even more real-world data. Our goal is simple: Better tools. Faster diagnoses. Healthier patients.
Partnered with top sleep clinics and data providers
Built to reduce patient wait times and ease the workload for providers
We’re actively improving the platform based on feedback and training the AI on even more real-world data. Our goal is simple: Better tools. Faster diagnoses. Healthier patients.
Partnered with top sleep clinics and data providers
Built to reduce patient wait times and ease the workload for providers
We’re actively improving the platform based on feedback and training the AI on even more real-world data. Our goal is simple: Better tools. Faster diagnoses. Healthier patients.
