Scanabull Raises $920K for AI Cattle Weighing Technology

New Zealand-based agtech innovator Scanabull has successfully closed a seed funding round, securing NZ$1.1 million (approximately US$920,000). This capital injection is set to accelerate the company's mission to bring precise, real-time weight data to the beef industry, a sector historically reliant on less accurate visual estimations. The funding was spearheaded by Sprout Agritech, with significant backing from Enterprise Angels and support from Callaghan Innovation’s Deep Tech Incubator program. Scanabull, an alumnus of the Sprout Accelerator, is poised to revolutionize livestock assessment.

The core of Scanabull's offering is its proprietary computer-vision platform, which leverages the LiDAR sensor found in smartphones to provide instant, accurate estimates of live cattle weight. This technology, developed by a team including CEO Dan Bull, founding engineer Paul Sealock, CTO Daniel Stuart-Jones, and Chief Commercial Officer Ursula Haywood, addresses a critical inefficiency in the beef supply chain. By eliminating guesswork, Scanabull aims to mitigate significant financial discrepancies that can arise from inaccurate weight assessments for farmers, traders, and meat processors.

The beef industry's traditional methods for weight estimation often lead to substantial financial variances, impacting profitability across the value chain. Unlike the dairy sector, which benefits from extensive real-time data integration, beef producers have lacked accessible tools for objective livestock measurement. Scanabull's solution, branded as WeighApp, empowers farmers, stock agents, and veterinarians to conduct scans directly in yards, pens, or at farm gates, providing immediate, actionable data. This advancement is particularly impactful in a market where accurate weight is a primary determinant of value.

With over 100,000 animal data points already used to train its AI models, Scanabull's technology is designed for continuous improvement through ongoing data collection. The company is already engaged in trials and demonstrations with key industry players, including Silver Fern Farms, across New Zealand. The newly acquired funds will be instrumental in further refining the AI algorithms, expanding the data repository, and facilitating a broader commercial rollout. Strategic expansion into the Australian market and other major beef-producing regions is a key objective for the company by the end of the year.

The implications of Scanabull's technology extend beyond the farm gate. Meat processors, who often receive livestock with limited reliable pre-arrival data, stand to gain considerably. Improved weight visibility earlier in the supply chain can streamline operations, reduce processing inefficiencies, and foster stronger, more transparent relationships between producers and buyers. This enhanced data flow promises to optimize logistics and potentially improve carcass yield predictions, contributing to a more efficient and profitable industry overall.

Crispin Dye, Investment Manager at Sprout Agritech, highlighted the transformative potential of Scanabull's deep tech approach. "Technologies that introduce reliable data into agricultural supply chains possess immense potential," Dye stated. "Scanabull's innovative use of computer vision and on-device AI unlocks novel avenues for livestock management and supply chain transparency, marking a significant step forward for the agtech sector." The company's focus on practical, accessible technology addresses a long-standing need within a vital global industry.