Seebo

Seebo enables process manufacturers to predict and prevent unexpected process inefficiencies that continually damage production yield and quality. The company’s solutions empower production teams to:
Discover process inefficiencies and their operational impact
Pinpoint why these process inefficiencies happen
Predict when they will happen next
Seebo solutions employ Explainable AI technology, adapted to the complex dependencies of multi time-series data that is inherent to process manufacturing. Using a visual, code-free modeler, a client’s end-to-end production line processes and manufacturing knowhow are captured into an AI-powered digital twin – without requiring the client to master data science.
The Seebo Industrial IoT Platform is the backbone of our solutions. The platform is based on Process-Based Industrial AI, with tools that enable quick, code-free configuration and customization of the solutions:
Digital Twin Modeling – Visual tool for graphically modeling the client’s process digital twin, based on the customer’s specific production processes, OT and IT data, use cases, and customized digital twin dashboards. Seebo automatically transforms the Model into a digital prototype of the solution, enabling customer teams to validate the solution ahead of implementation, and gain internal buy-in from all relevant stakeholders.
Process-Based Predictive Analytics – Automatically translates the Model’s business use cases to rule-driven alerts, and provides an iterative means – using supervised and unsupervised machine learning – to automatically derive actionable insights from historical data and real-time data.
Automated Root Cause Analysis – Detects the possible root causes of actual and forecasted production problems using anomaly detection, pattern analysis and correlation analysis. Reduces the time and efforts for problem investigation, resolution, and prevention.
Digital Twin Analytics- visualizes the manufacturing KPIs, alerts, and reports in the visual context of the production processes, providing managers with complete operational intelligence, from the site level, through production lines, to specific machines, and individual sensors.
Manufacturers across industries – including Nestle, Grundfos, Stanley, Procter & Gamble, Hovis, and many more – use Seebo to increase throughput while continually improving quality.
Founded in 2012, the company has raised over $25M from Viola Ventures, TPY Capital, Pritzker Group, and other investors. Seebo was named a Gartner Cool Vendor in the Internet of Things for 2017.