VAAK builds computer vision SaaS for retail and physical security, using Python, TensorFlow, and Keras to detect and predict human behavior from camera feeds. The stack is mature (Rails, AWS/GCP, monitoring via Datadog/New Relic) but hiring is minimal and heavily skewed toward sales (3 of 7 active roles), suggesting the company is in market-expansion mode rather than scaling engineering—consistent with active projects targeting manufacturing and real estate field sales alongside core vaakeye product development.
VAAK develops a security camera platform that combines loss prevention with cashier-less checkout capabilities for retail environments. The platform analyzes video feeds using behavioral AI to detect and predict human actions, enabling automated checkout in the style of grab-and-go retail. Headquartered in Tokyo, the company serves Japanese retail and e-commerce operators. Current operational priorities center on expanding the vaakeye product line into new verticals (manufacturing, real estate) while managing cross-departmental coordination and allocating leadership bandwidth across strategy, commercialization, and field sales.
VAAK's stack includes Python, TensorFlow, and Keras for computer vision, deployed on AWS and GCP infrastructure. Production monitoring runs through Datadog and New Relic.
Currently minimal: 1 of 7 active roles is engineering. Sales roles (3) dominate the hiring pipeline. The company is not actively recruiting engineering headcount.
VAAK hires exclusively in Japan, reflecting its Tokyo headquarters and focus on the Japanese retail market.
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