should be able to make the right health decisions
for themselves and the ones they love… anytime.
How it Works
Our Technology
Anyone, anywhere
50 Million Data Points
... and counting!
We combine image data from stool, skin & coat, teeth & gums, body condition, eyes, and more to create a 360 view of your pet's health.
Over 17 AI Models
At DIG Labs, we use machine learning to unlock custom insights into your dog’s health, starting with one photo. Image based tracking and detection methods will help monitor progress over time and help pet parent's more easily communicate with their vet.
Breakthrough Science
We believe that science can transform the way we care for our pets. Our application uses widely accepted scales such as the Bristol Stool Score to draw key insights on your pet's health. Our robust insight engine is formally reviewed by our veterinary advisory board regularly to ensure we are keeping up with the key standards of care in the industry.
What happens when you put it all together?
Pets can live healthier, longer lives and improve other health and behavior issues.
Pet parents avoid expensive emergencies.
In partnership with a team of veterinarians, veterinary scientists, microbiologists, nutritionists, and pet experts, we are actively working on the best ways to assess our pets health.
"I Recommend this to all my patients. Poop is such an important indicator of overall health."
- Dr. Matthew Wheaton
"I highly encourage all my patients take stool photos, especially when there is a GI issue. If you want the best help for your dog, having photos to share is my #1 recommendation. The DIG Labs Digestive Health app makes this so easy!"
- Dr. Michael Tokiwa, DVM, Progressive Veterinary Care
We Use Methods
Backed by Science
| Scale | Description | Read More |
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Consistency |
The Bristol Stool Scale is an established method of grading stool consistency on a scale from 1 (hard) to 7 (diarrhea) |
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Blood |
DIG uses a simple binary model to detect if there is blood present or absent from sample. |
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Mucus |
DIG uses a simple binary model to detect if there is mucus present or absent from sample. |
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Parasites |
DIG expert reviews every image submission for the presence of visible worms. |