Two-way
Barks and body language become readable insights. Human intent becomes signals dogs understand. One API, both ways.
Proprietary AI model
PEBI reads a dog’s voice, face, movement and vitals together, then compares each moment against that dog’s own history. It’s trained on 2M+ dogs across 120+ breeds.
Why Traini
One API for understanding pet voice, behavior and video, from the team building the first behavioral translator for dogs.
Barks and body language become readable insights. Human intent becomes signals dogs understand. One API, both ways.
Voice, video and images feed one intelligence layer. Facial, vocal and motion cues are read together, not stitched across separate models.
Read emotion, behavior and intent as they happen, across live apps, connected collars and smart cameras.
Start self-serve and pay for what you use. Past 100,000 devices, Enterprise adds volume pricing and dedicated support.
In context
A single read tells you how a dog feels right now.
PEBI also checks whether this is normal for her.
What PEBI sees and hears
Output
Move her walk back toward 6 pm, or add a short sniff break at 6:30. If the pattern continues after the change, share this timeline with your vet.
PEBI places every moment on two axes: how positive the dog feels and how energized she is. Within each quadrant, the model resolves finer-grained emotional states. Select a quadrant to see the body language behind it.
Positive and energized. Engaged, social, ready to interact.
Negative and energized. Aroused and unsettled; something needs attention.
Positive and low-energy. Settled, safe and comfortable.
Negative and low-energy. Disengaged, low or uncomfortable.
Cues shown are examples. PEBI weighs multiple signals together.
What a bark means, how the model learned it, and where to read the research.
Add real-time pet intelligence to your product with one API.