Tenyks provides a versatile visual intelligence platform designed to transform visual data from cameras, drones, and satellites into actionable insights. Companies often struggle with manual analysis of visual data, which limits improvements in efficiency, customer satisfaction, and revenue growth. Tenyks addresses this by using advanced multimodal Vision-Language Models (VLMs) for video summarisation, retrieval, and visual question-answering. These models are integrated with analytics for emotion detection, activity recognition, object tracking, and gait analysis, converting standard visual footage into valuable operational intelligence.
Initially focusing on Quick Service Restaurants (QSRs), Tenyks enables operations leaders to analyze customer flow, kitchen efficiency, staff productivity, and service quality using existing security camera footage. This capability turns previously inaccessible data into operational improvements and financial returns. For example, a 1-second improvement in service speed can yield $30,000 in additional annual revenue per restaurant, translating to $3 million for a multi-unit owner of 100 restaurants.
Tenyks has secured its first Fortune 500 customer and is trusted by major enterprises, global system integrators, and high-growth startups for data-driven decision-making. The technology is rooted in research from Cambridge University and has been recognized as a Rising Star in Gen AI by Sifted, Best Product of the Year by Vision AI Alliance, and Company of the Year by Cambridge University.