Palo Alto–based startup Traini has raised $7.5 million to build what it calls pet “emotional intelligence,” backing a future where dog owners don’t just track steps and sleep, but have real-time, voice-like conversations with their pets through AI. The round will fund R&D, product iteration, and global rollout of its Cognitive Smart Collar, pitched as the world’s first generative AI dog “language” translator in wearable form.
Funding, backers, and mission
The round is led by Banyan Tree, Silver Capital, ZhaoTai Group, and NYX Ventures, with participation from Starting Gate Fund, Jade Capital, and tech investors including NVIDIA VPs, Julian Qian of Anthropic, Weihe Zheng of Cowin Capital, Jia He of Nanshan Capital, Peter Xu of Plug and Play China, and Zach Zhang of Edgewater Investments. Existing investors, including the Tao Foundation and Xiaomi cofounder Feng Hong, also joined, building on earlier backing from leaders at Google, Meta, and Palo Alto…
Networks.
Traini founder Arvin Sun stated, “Our mission is to develop an intelligence that reignites the natural instincts of our furry companions and builds a true spiritual bond between pets and their humans.” Cognitive Smart Collar and PEBI platform Fresh capital supports the launch of Traini’s first hardware product, the Cognitive Smart Collar, described as the world’s first cognitive pet wearable and the first human–dog “language” translation device built on generative AI, now available for pre-order via the Traini app and site.
The collar runs on Traini’s core multimodal engine, PEBI (Pet Empathic Behavior Interface), which processes text, images, video, and audio. By analyzing a dog’s vocalizations, facial expressions, and body language, PEBI turns those signals into human-style conversational output designed to feel like a two-way exchange.
Traini says its models currently cover nearly 120 dog breeds with emotion translation accuracy of up to 94%, enabling applications from behaviour translation and emotion recognition to personalised services and pet-assisted healthcare. Data, models, and emotional mapping Traini’s system combines a Valence–Arousal model, a 3D Pet…
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