Tomofun builds hardware and software for pet monitoring, centered on the Furbo pet camera with AI-driven activity recognition and alert systems. The tech stack reveals a data-forward engineering approach: Databricks, Spark, Delta Live Tables, and Tableau power analytics; React and Next.js handle the consumer app layer; AWS infrastructure supports global deployment. The hiring mix skews heavily toward marketing (7 roles) and internship-track talent (11), signaling aggressive geographic expansion and brand-building in new markets—a strategic shift underway across APAC and EU.
Tomofun is a Taiwan-based IoT and AI company founded in 2015, distributed across offices in Taipei, Tokyo, Munich, and Manila with team members in the US and Europe. The core product is a pet camera with machine-learning-powered monitoring: barking/meowing detection, activity recognition for dogs and cats, and real-time alerts. The company operates at global scale, selling into 113 countries and claiming market leadership in 15 regions. Revenue model combines hardware sales with a subscription-based AI monitoring service called Furbo AI Nanny. Active projects include KOL/KOC strategy execution, APAC brand promotion, EU e-commerce campaigns, and new product introduction readiness—all pointing to a consumer hardware business scaling through influencer partnerships and regional marketing.
Backend: Python, Apache Spark, Databricks, and Delta Live Tables for data pipelines; AWS (EC2, CDK, CloudFormation, Terraform) for infrastructure; React and Next.js for the consumer app; Tableau for analytics dashboards.
APAC brand expansion and EU market e-commerce are top active projects. Recent initiatives include APAC brand promotion strategy, influencer campaigns for EU, and online marketing campaigns targeting European customers.
Other companies in the same industry, closest in size