About Itility

Who we are

We believe in merging data and technology to drive our customers one step beyond. Our digital consultants are experts in data, cloud, software, and IT infrastructure. With proven methods in our backpack, such as Itility Cloud ControlItility Data Factory, and Itility Applied Analytics. Together we shape your digital solution. And then our DevOps team actually delivers the solution. To have it running 24/7, seamlessly.
Shape. Deliver. Run.

“At Itility we merge technology and data to go one step beyond for each of our customers.”

Itility NL

Flight Forum 3360
5657 EW, Eindhoven
info@itility.nl
+31 (0)88 00 46 100

The Itility headquarters are situated in Eindhoven, Brainport region. From the heart of this innovative area, we focus on delivering digital change for our customers. In projects, services, or in co-development. Our consultancy team of over 250 experts in data, cloud, software, and IT stacks works close to the customer, shoulder to shoulder, to actually deliver the results we promise. More information about our customers can be found below.

If you have any questions related to careers at Itility, please visit our careers site. For other questions, you can always mail us at info@itility.nl or give us a call.

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Itility US

Silicon Valley
840 North Hillview Drive
Milpitas, CA 95035
info@us-itility.com

Itility serves multiple international enterprise customers at a global scale. We want to be close to our customers and close to where innovation happens. For that reason, the Itility US office is located in Silicon Valley. We focus on delivering digital change for our customers, in IT-driven and data-driven projects and services. Our US team consists of 25+ experts in data, cloud, and IT stacks. We act shoulder to shoulder with our customers, to actually deliver the results we promise. For companies in high tech and manufacturing such as ASML Brion, Cymer, HMI, Nokia, Marel, NXP. Since the Dutch ambassador opened our office in 2016 we have integrated into the largest innovation tech hub of the US and, among others, founded the Stanford Data Science Meetup group.

If you have any questions related to careers at Itility US, please check our job openings. For other questions, you can always mail us at info@us-itility.com

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Our customers

Itility works together on a broad range of digital projects and services with companies in various industries. Shoulder to shoulder with customers in high tech and manufacturing such as Ampleon, ASML, Marel, NXP, Signify, and Vanderlande. In cloud and data lake projects for customers such as KPNNTS, Obvion, and Philips. In co-development on agriculture and automotive with customers such as Priva and WUR, Amber and TNO. Some examples of specific projects are listed below.

ASML
ASML
ASML
ASML
ASML
ASML
ASML
ASML
ASML
ASML

At ASML we have built and run the central data lake, we ingest large amounts of data to the data lake, and work in value streams with the end user to create business value with that data. Think of predictive maintenance on machine parts, root cause analysis on drift, and proactive alerting after parts replacement. 

Also at Ampleon and Vanderlande we focus on creating business value and solving business problems via data. End to end, from setting up and running the data lake, to ingesting data, to creating end solutions with data science techniques and application development.

At Marel, Signify, and Obvion we manage the full IT landscape, both on-prem and in various cloud environments. For this, we maximize automation, not only to perform IT operations activities, but also to easily spin up new application environments for new projects or for testing purposes, and to manage the application config (for PLM, EDA, SAP, and many other application landscapes). We also maximize the use of data for smart alerting, predictive operations, and cost control.  

At our agri customers we use our data science knowledge and tech savviness to automate manual activities such as visual inspections of quality of plants or germination strength. And we use various data sources to predict yield or diseases.