CayKnight.AI
know before it shows
POST-SURGICAL RECOVERY MONITORING FOR DOGS
The wound is watched in
the clinic. It fails at home.
Surgical site infections often emerge days or weeks after a dog goes home.
CayKnight.AI closes this gap with continuous recovery monitoring and early risk detection.
WHY TIMING DECIDES THE OUTCOME
Every infection is found
after the dog does home
In a 1,271-animal study, every infection was diagnosed after discharge and a quarter never reached the surgeon.
Infections will happen. CayKnight.AI shortens how long they go unnoticed.
100%
Diagnosed after discharge
36 infections in 1,271 animals (Vet Surg, 2018)
14 days
Median delay to diagnosis
Range 4 - 855 days after TPLO (Front Vet Sci, 2023)
27.8%
Never reached surgeon
10 of 36 cases, absent active follow-up (Vet Surg, 2018)
8.5%
Infection rate after TPLO
65 of 769 osteotomies (Front Vet Sci, 2023)
64.6%
Lost their implants
42 of 65 infections; 80.0% major infections (Front Vet Sci, 2023)
+ 74.4%
Cost when infected
mean from $498 rises to $869 (Vet Surg, 2018)
Observation ends on day one. Diagnosis arrives weeks later.
The follow-up visit is a snapshot. Infection is a process, and it starts between appointments.
CLINICALLY MONITORED
NO CONTINUOUS OBSERVATION
DAY 0
Surgery
continuous in-clinic monitoring
DAY 1 - 2
Discharge
Monitoring passes to the owner
MEDIAN DAY 7
Deep SSI, spinal
Range 2 - 38 days
(Front Vet Sci, 2025)
MEDIAN DAY 14
SSI, orthopedic
Range 4 - 855 days
(Front Vet Sci, 2023)
DAY 30
Window closes
Longer where an implant is present
WHAT WE ARE BUILDING
A collar on the dog,
an app for the owner
Gen-2 pairs a smart collar that captures and processes physiological signals with an app that turns them into actionable insights.
THE COLLAR
Coming soon!
-
Through-fur skin contact. Reach skin through the coat. The line between activity data and physiological signal.
-
On-device aggregation. The collar summarizes and uploads selectively. Raw streams stay in the development and validation.
THE PARIED APP
Coming soon!
-
The recovery window, day by day. Trend an owner can read without a clinical background.
-
Escalation, not advice. An early signal prompts a call or an earlier follow-up. Low-confidence results are flagged for veterinary review.
CURRENT FUNCTION, AND WHAT FOLLOWS
From recovery to lifelong health
Recovery monitoring is where we begin, not where we end. The same sensor platform is designed to support additional health capabilities over time.
Leading Function
Post-surgical infection and recovery monitoring
Foundational Function
General health tracking, daily & monthly insights
Foundational Function
Behavioral analysis:
sleep & activities
In Development
Cardiovascular disease and risk analysis
In Development
Early signs of arthritis detection
In Development
Mood & emotion insights
WHERE WE ARE
Stage & validation path
Gen-1 proved the sensing works on a dog. Gen-2 is built to be studied in a clinical setting, and shipped to real world users.
COMPLETE
Gen-1 proof-of-concept
Through-fur capture and app path tested end to end on device.
NOW - 2026
Gen-2 build
Hardware and algorithm integration; pilot units to vets in Q4.
NEXT
Veterinary pilot
Post-surgical cohorts through clinics, not consumer channels.
THEN
Prospective evidence
Pre-specified endpoints on owner-generated data.
OUR CO-FOUNDING TEAM
Clinical, statistical and sensor expertise in one room
Puppy-obsessed and mission-driven, our Stanford- and Google-trained team blends expertise in medicine, bioengineering, and AI to redefine the future of canine healthcare.
Mia Min
Co-founder / CEO
Double PhD in Epidemiology & Computer Science from Stanford, with MD and MS (Statistics), Mia uniquely blends clinical insight with cutting-edge AI. She leads CayKnight.AI’s vision and algorithms for smarter, earlier canine healthcare.
Kris Wu
Co-founder / CPO
Data scientist and AI product expert from Google, with an M.S. in Statistics and a B.S. in Math & Computational Science. Kris leads CayKnight.AI's product strategy and carries algorithms from concept to collar.
Xianghao Zhan
Co-founder / CTO
Double PhDs in Bioengineering and Biomedical Data Science from Stanford, with an MS in Statistics and a BE in Automation. Xianghao transforms CayKnight.AI’s canine health monitoring through innovative AI and sensor solutions.