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Suppliers > Israel > Seebo

Seebo

Industry 4.0 SaaS Platform

Overview

HQ Location

Israel

Year Founded

2012

Company Type

Private

Revenue

< $10m

Employees

51 - 200

Website

Open website

Twitter Handle

@seebo

Company Description

Seebo is an Industry 4.0 SaaS platform with laser-focused business solutions that ‘move the needle’ for manufacturers in 3-months or less.

Founded in 2012, the company has raised over $22M from Viola Ventures, TPY Capital, Pritzker Group, and other investors. Seebo was named a Gartner Cool Vendor in the Internet of Things for 2017.

You can learn more by visiting our website: seebo.com or introduce Seebo to others with the following link: seebo.com/introducing-seebo.

IoT Solutions

Our solutions address the burning need for factories and plants to cut downtime, boost production yield, and minimize product faults.

Powered by the Seebo IoT development platform, Seebo solutions are easily customized using visual, code-free tools for IoT Modeling, Simulation, Predictive Analytics, and Machine Learning. The result: unmatched speed-to-market and predictable ROI.

The Seebo IoT Development Platform is comprised of visual tools that enable quick configuration and customization of our business solutions:

IoT Modeler - Visualizes the solution blueprint, with the necessary technology layers and data flows, as well as the business use cases to be implemented

IoT Simulator - Quickly validates the solution blueprint and enables you to gain stakeholder buy-in

Predictive Analytics & Machine Learning - Automatically translates the business use cases to rule-driven alerts, and provides an iterative means to automatically learn from historical data, perform root-cause analysis, and derive actionable insights

Digital Twin dashboards - visualizes the KPIs, alerts, and reports in the context of your production lines, enabling you to drill in through your sites, machines, and sensors to drive your operations to excellence

Key Customers

Manufacturers across industries – including Grundfos, Stanley, Procter & Gamble, Ralph Lauren, and many more – use Seebo to increase overall equipment effectiveness (OEE), minimize maintenance costs, and continually improve quality.

IoT Snapshot

Seebo is a provider of Industrial IoT platform as a service (paas), and analytics and modeling technologies, and also active in the automotive, chemicals, food and beverage, metals, oil and gas, and pharmaceuticals industries.

Technologies

Platform as a Service (PaaS)

Data Management Platforms

Analytics & Modeling

Predictive Analytics

Use Cases

Machine Condition Monitoring

Predictive Maintenance

Process Control & Optimization

Industries

Food & Beverage

Pharmaceuticals

Technology Stack

Seebo’s Technology Stack maps Seebo’s participation in the platform as a service (paas), and analytics and modeling IoT Technology stack.

Devices Layer
Robots

Drones

Wearables

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Cloud Layer
Platform as a Service (PaaS)

Infrastructure as a Service (IaaS)

Application Layer
Functional Applications

Supporting Technologies
Analytics & Modeling
Application Infrastructure & Middleware
Cybersecurity & Privacy
Networks & Connectivity

Technological Capability:

None

Minor

Moderate

Strong

Case Studies.

Oseco Case Study - Delivering Condition Monitoring with Seebo

Oseco were completely new to Industry 4.0, Oseco needed to find a lean and quick method for successfully implementing condition monitoring.

Seebo and Greengage Revolutionize Industrial Lighting System

Greengage was looking for a way to provide ‘smart’ lighting solutions, to provide farmers with an essential system for managing operations and to monitor animal welfare remotely.

Reducing Downtime with Predictive Analytics

To improve production capacity and avoid downtime, a global biotechnology manufacturing company implemented Seebo Predictive Analytics.The company’s quarterly operations review revealed a 3.6% increase in downtime during production. This downtime stemmed from an unexplained viscosity in one product in the production line.The resulting pipeline blockages between the reactor and the centrifuge in the production line led to more frequent equipment cleaning procedures and stoppage during the batch production, high levels of waste, a decreased capacity, and lengthened time to market.The investigative team could not identify a reason for the blockage, as all relevant production parameters were in the approved working range.

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