Seeq Corporation
@seeq.com
Make better decisions faster with Seeq’s industrial analytics software that combines advanced AI with human expertise to deliver measurable results.
Seeq Corporation's Company Logos


Seeq Corporation's Brand Colors
Hex Code
Color name
RGB
HSL
CMYK
#F9532D
Flamingo
249, 83, 45
11, 94, 58
0, 67, 82, 2
#FFAD5E
Texas Rose
255, 173, 94
29, 100, 68
0, 32, 63, 0
#101419
Bunker
16, 20, 25
213, 22, 8
36, 20, 0, 90
About Seeq Corporation
Seeq Corporation is a venture-backed advanced analytics software company based in Seattle, Washington. They specialize in providing solutions for process manufacturing organizations to derive insights from their data. With the increasing deployment of sensors and the growth of the Industrial Internet of Things (IIoT), the need for such solutions is becoming more widespread.
Seeq offers a range of products and services to address this requirement. Their flagship product, Seeq Workbench, is an advanced analytics application that allows engineers and plant employees to access and analyze data easily. Additionally, Seeq offers Seeq Organizer for collaboration and publishing, Seeq Data Lab for data science and machine learning, Seeq Cortex for cloud and distributed deployments, and Seeq Architecture for flexibility in data collection and management strategies.
Supported by strategic partnerships with industry leaders like OSIsoft, Honeywell, and Siemens, Seeq helps customers achieve better insights on their data, make faster decisions, and improve their production and business metrics. Their agile software development approach ensures frequent customer involvement, resulting in shorter development cycles and features that meet customer expectations. As a company, Seeq values integrity, customer satisfaction, teamwork, agility, and community support
Company type
Privately Held
Year founded
2013
Company size
51-200 employees
Related Brands
Tags
Industrial analytics platform
AI-enabled time-series analytics
Enterprise monitoring software
Process industry SaaS
Operational decision support
