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Seebo has raised funds of $9M so that they can fund the manufacturers and help them to prevent loss with their Process-Based artificial intelligence (AI) solution.
FREMONT, CA: Seebo announced that it has completed raising $9M funds, which is also led by Ofek Ventures. In the funding process, there were also other participants like Vertex Ventures and the existing investors TPY Capital and Viola Ventures. Seebo has raised $31 million since its founding.
Seebo is the Predictive Quality and Yield Solutions for the manufacturers. The manufacturers make use of Seebo when they want to predict and prevent quality, yield, and waste losses. Seebos’s Process-Based Artificial Intelligence is designed in such a way that it solves the inefficiencies in complex processes. It even reveals the actual cause of the issue and recommends the actions that can be taken. By offering production teams with readymade artificial intelligence, the continuous procedure of masterships becomes a reality.
The large manufacturing companies can suffer immense loss in quality, yield, and waste due to the inefficiencies in production. Therefore, Seebo uses the fund to exceed its global outreach and continuously develop the Process-Based artificial intelligence (AI) solution. The company can predict, analyze, and prevent losses related to production. They can also understand the complicated production processes and save the customers money they invest in manufacturing.
The platform of Seebo consists of four modules, which are process-based predictive analytics, digital twin analytics, modeling and simulation, and automated root cause analysis. The users can manufacture their production line on the platform with equipment and process data flows, machines, sensors, and OT and IT data sources. The system develops a process-based data schemes on which a prototype of digital-twin is generated so that it can authenticate the solution before it is entirely implemented.
According to the CEO of Seebo, Lior Akavia, “while there are companies that offer AI solutions to streamline manufacturing processes, they often overlook the importance of process-based contextualization, resulting in many false positive alerts that hinder production. Data pertaining to manufacturing processes — the dependencies between machines, data flows, and the product flows per recipe — must be at the core of any solution for process manufacturing, and that is what we do best.”
The demand for the company’s solution has increased because manufacturers are trying new methods to decrease the loss and optimize the process. During such time, Seebo comes with the fund so that they can help the manufacturers. Presently the customers of Seebo are Barilla, Allnex, Nestle, Volkswagen Group, and Mondelez.