ConnectedAI Solutions for Industrial Manufacturing Leaders

Use ei3’s ConnectedAI to radically improve industrial machine performance and processes. Understand future machine needs to strike the perfect balance between predictive maintenance, overall asset utilization, production schedules, and cost. Achieve sustainable growth!

Discover how our unique take on industrial AI can support your future success

Manufacturers and machine builders are today faced with many different challenges. Replacing parts in time to avoid unplanned downtime? Want to reduce energy usage? Need to optimize production? Adopt modern data science and artificial intelligence to stay ahead in the market. Find out what ConnectedAI can deliver for you:

STAY COMPETITIVE

With ConnectedAI machines become smart machines, with self-diagnostic features that ensure highest availability and manufacturing quality, all cost-efficiently. These valuable features set your machines apart in the industry.

EMPOWER YOUR TEAM

Machines that are smart are easier to operate, giving your operating staff the ability to achieve more with less – oversee more machines at the same time while each machine takes care of itself.

DRIVE SUSTAINABILITY

Ensure machines and processes are always operating at their best – with least amount of energy use, least amount of waste, and highest quality – ensuring financially sound and sustainable production.

ConnectedAI is easy to deploy

ConnectedAI starts off as a software-only solution, working with your existing data. Depending on your needs, ConnectedAI uses unique algorithms to optimize your production, reduce operating cost, safeguard product quality, or minimize energy consumption and waste. This substantially contributes to increasing your financial performance and environmental sustainability.

Meet the state-of-the-art predictive maintenance strategy

ConnectedAI predicts what matters. The best time to replace a failing machine part is not when it is breaking, but when the impact of its continued degradation on your production outweighs the cost of its replacement. Our unique approach is based on continuously understanding and quantifying the wear and tear that impacts your machines – and advising how to maintain machine operations at their best.  

Sounds like magic? Far from it. Our algorithms are based on sound mathematics and engineering knowledge, based on our 20+ years of experience delivering data analytics solutions to industrial clients around the world.  

Want to dive deeper?

Find out some of the key technologies that make up ConnectedAI:

iPID TECHNOLOGY

ConnectedAI’s iPID captures real-time  performance data from your machine’s control logic to verify the internal balance of the machine’s operations.

SYMPHONY SENSOR

ConnectedAI monitors machine wear and tear through advanced analysis of mechanical emissions, for early issue detection and reduced downtime.

FEDERATED LEARNING

ConnectedAI combines local and centralized data analysis, ensuring data privacy and rapid fleet-wide learning without central data collection.

Work with us and you will be in excellent company

TRUST. EFFICIENCY. SUCCESS.

ConnectedAI Solutions for Industrial Manufacturing Leaders

Use ei3’s ConnectedAI to radically improve industrial machine performance and processes. Understand future machine needs to strike the perfect balance between predictive maintenance, overall asset utilization, production schedules, and cost. Achieve sustainable growth!

Discover how our unique take on industrial AI can support your future success

Manufacturers and machine builders are today faced with many different challenges. Replacing parts in time to avoid unplanned downtime? Want to reduce energy usage? Need to optimize production? Adopt modern data science and artificial intelligence to stay ahead in the market. Find out what ConnectedAI can deliver for you:

STAY COMPETITIVE

With ConnectedAI machines become smart machines, with self-diagnostic features that ensure highest availability and manufacturing quality, all cost-efficiently. These valuable features set your machines apart in the industry.

EMPOWER YOUR TEAM

Machines that are smart are easier to operate, giving your operating staff the ability to achieve more with less – oversee more machines at the same time while each machine takes care of itself.

DRIVE SUSTAINABILITY

Ensure machines and processes are always operating at their best – with least amount of energy use, least amount of waste, and highest quality – ensuring financially sound and sustainable production.

ConnectedAI is easy to deploy

ConnectedAI starts off as a software-only solution, working with your existing data. Depending on your needs, ConnectedAI uses unique algorithms to optimize your production, reduce operating cost, safeguard product quality, or minimize energy consumption and waste. This substantially contributes to increasing your financial performance and environmental sustainability.

Meet the state-of-the-art predictive maintenance strategy

ConnectedAI predicts what matters. The best time to replace a failing machine part is not when it is breaking, but when the impact of its continued degradation on your production outweighs the cost of its replacement. Our unique approach is based on continuously understanding and quantifying the wear and tear that impacts your machines – and advising how to maintain machine operations at their best.  

Sounds like magic? Far from it. Our algorithms are based on sound mathematics and engineering knowledge, based on our 20+ years of experience delivering data analytics solutions to industrial clients around the world.  

Want to dive deeper?

Find out some of the key technologies that make up ConnectedAI:

iPID TECHNOLOGY

ConnectedAI’s iPID captures real-time performance data from your machine’s control logic to verify the internal balance of the machine’s operations.

SYMPHONY SENSOR

ConnectedAI monitors machine wear and tear through advanced analysis of mechanical emissions, for early issue detection and reduced downtime.

FEDERATED LEARNING

ConnectedAI combines local and centralized data analysis, ensuring data privacy and rapid fleet-wide learning without central data collection.

Whitepaper

ConnectedAI: A machine learning approach to practical predictive insights

Product Sheet

Symphony Sensor: Get insights on machine part wear and tear through analysis of mechanical emissions

Upcoming events '24

Date Event Details
AUG 19 - 22 IEEE iThings-2024 IN COPENHAGEN DENMARK
Our paper, "Inverse-PID: A Mathematical Approach Towards Detecting Real-World Wear-And-Tear in Industrial Machines," has been accepted for publication in the Proceedings of the IEEE iThings-2024 and presentation at the IEEE International Workshop on Emerging Technology in IoT which is held in conjunction. Learn More >>
AUG 28 - 29 ei3 WILL EXHIBIT AT aaa FAIR IN ZURICH, SWITZERLAND (BOOTH #F14)
Visit our exhibit to learn about ei3's proven AI & IIoT solutions for machine builders. Learn More >>
OCT 15 - 19 ei3 REPS. WILL ATTEND FAKUMA IN FRIEDRICHSHAFEN, GERMANY
to engage with our existing ei3 customers, explore cutting-edge technologies, and delve into emerging industry trends. Learn More >>

Your questions answered here: FAQs

Your questions answered here: FAQs

Data Science can solve many problems that plague industrial manufacturers. Modern machines – and even old ones! – create large amounts of data as they operate. Mathematical algorithms developed by data scientists can look for anomalies in that data to pinpoint irregularities. These can be caused by wear and tear, incorrect machine settings or setups, or operator errors. Many of our clients use our algorithms to continuously optimize their machine operations to increase machine efficiency, reduce cost or waste, reduce energy consumption, detect and avoid operator errors, or implement condition- or predictive maintenance strategies.

Our clients typically approach us with specific business issues that need to be addressed – a pain point. This can be perceived shortfalls in machine efficiency or productivity, higher than needed energy consumption, waste, or product rejects, repeated machine failures, or the desire to anticipate and avoid unplanned downtime.

Based on this pain point our data science team will engage with the client to develop a solution approach based on a data-science hypothesis. In other words, we will jointly with the client develop a strategy to solve the issue using the data and tools available from the client.

Before engaging on a full scale project we will usually conduct a short term study to efficiently proof, or dis-proof, that the hypothesis can be substantiated with data. This avoids long and expensive exploratory projects and avoids disappointment if the hypothesis turns out to be incorrect. Our projects deliver success efficiently – or fail very quickly.

Having a lot of data can be an advantage but is not at all necessary. As part of defining the solution strategy our team will review available data and create strategies to collect all necessary data while the project is in motion.
Any “new” algorithm specifically designed for a client in a full-scale paid engagement (not a pilot) is owned by the client. At the end of the project we will sign over the Intellectual Property rights to the client who is then free to continue to develop the algorithm, extend it, or roll it out to as many machines and plants as he wishes, free of charge.

Data cleaning usually starts with the identification of the most important dimensions, which sufficiently describe the processes that should be modeled. Once these dimensions, or features are selected, the second step will be to ensure that the data make sense, by removing any duplicate columns, deleting irrelevant data, removing statistical outliers and filling missing values.

Every data science algorithm is tailored to a specific type of problem. Given the available data, we choose and adapt the most appropriate one.

Projects are designed for seamless integration into existing systems. Hence the API approach is usually chosen so that the existing systems can send requests to the data science systems, which allow those to not necessarily have to be on the same physical systems.

ei3 operates its own private world wide network of data centers and through it provides IIoT data collection and IIoT services with unparalleled reliability, safety, and security. ei3 can host any data science algorithm for any client on that network.

Our clients are also free to use their own hosting environments to implement any data science algorithm on their own, or existing, IT infrastructure, or directly on their machines. 

The data science team is always available to re-engage after an algorithm has gone live to provide maintenance or fine-tune the algorithm as this might be required when machines or operating environments change. Having said that, clients own their algorithms and are free to perform their own maintenance as well, as they see fit.

Data science projects usually start with a Pilot, in which we explore the data for the project. Insights of this phase helps define a timeline of the overall project. Project durations can vary, ranging from a few weeks to several months.

The Data Science team engages through different business models. We offer hours-based consulting and data science services, or fixed-price contracts. Talk to us to find out what might be appropriate for your project!

Be the spark of change
Be part of something special!

The ei3 Data Science Division, located in Zurich, Switzerland, develops data science, machine learning and AI solutions to improve efficiency and reliability of industrial processes and machines. Our solutions are in broad use with clients in more than 100 countries, covering manufacturing processes and lines in the plastics, electronics, and converting industry. From our office near Stauffacher square in Zurich, the ei3 data science team works closely with clients all around the world and our corporate ei3 colleagues in New York and Montreal. 

We are currently looking to fill open positions to support a number of new projects:

Achieve the triple win: Manufacture Sustainably at Highest Quality and Lowest Cost

Be the spark of change
Be part of something special!

The ei3 Data Science Division, located in Zurich, Switzerland, develops data science, machine learning and AI solutions to improve efficiency and reliability of industrial processes and machines. Our solutions are in broad use with clients in more than 100 countries, covering manufacturing processes and lines in the plastics, electronics, and converting industry. From our office near Stauffacher square in Zurich, the ei3 data science team works closely with clients all around the world and our corporate ei3 colleagues in New York and Montreal. 

We are currently looking to fill open positions to support a number of new projects:

Achieve the triple win: Manufacture Sustainably at Highest Quality and Lowest Cost