Superseed
Assembly Line
Converting factories into intelligent manufacturing hubs, London’s Thingtrax raises £4.3 million
London-based Thingtrax has raised £4.3 million in a pre-Series A funding round. Combining cloud computing, robotics, industrial Internet of things (IIoT), artificial intelligence (AI), and computer vision technologies, ThingTrax helps manufacturers identify inefficiencies and reduce costs. According to the company, its solution can monitor 100% of production activity on the manufacturing floor and provide real-time visibility into daily management practices, all within a single system.
Thingtrax’s latest investment round was co-led by Concentric, Superseed, and Puma Private Equity, with Haatch, Portfolio Ventures, Vinci Venture Capital and several angel investors, including Charlie Songhurst participating.
Garvis Raises €3.5 Million Euros for a Bionic AI Platform to Optimize Supply Chain Management
A year after the launch of its AI platform for demand and inventory planning, Belgian startup Garvis raised € 3.5 million to develop the platform. Investors include British investment funds Superseed and Scalebridge Capital, and the German group Bosch Ventures. Garvis’ technology enables companies to respond at lightning speed to upheavals and evolutions that influence customer purchase behavior. One unique feature: even non-specialists are able to use the platform within a day.
Businesses need a radical new planning method that uses risk profiles, insight and real-time data. The platform Garvis developed, maps relevant environmental factors and provides transparent, explainable insights and predictions of demand patterns for various industries such as automotive, semiconductor, retail, and food and beverage. It uses open-box AI to respond to global fluctuations in buying behavior. Unexpected changes in demand patterns are recognized early, allowing planners to immediately adjust their forecasts and keep schedules up to date. Garvis works with the University of Antwerp (Belgium) to continuously optimize the predictive algorithms.