Letter from the President
It’s an exciting time to be part of SymphonyAI Industrial. At the Digital Manufacturing division, our focus is on delivering AI-based digital solutions with our clients that empower human-machine teams to drive more productive, safe, and sustainable manufacturing operations. AI has barely penetrated the manufacturing operations space and we intend to lead.
Our clients are global leaders within their industries, and we help them solve some of their most complex digital manufacturing challenges. We consult with our clients and together develop solutions which deliver high-impact business value leveraging our technology. When we do this, we become a trusted advisor.
Our culture is dynamic and flexible. Our people have a passion for customers and technology and are excited to be a part of a fast-paced, high-growth, entrepreneurial culture – that’s who we are.
— Barry Johnson
Vision + Mission
- Vision: Accelerating autonomy for every plant in the world
- Mission: AI-based digital solutions that empower human-machine teams to drive more productive, safe and sustainable manufacturing operations
- Why it works: Autonomous systems gather and gain information about their envirnonment, adapt and make decisions without the need for human intervention - having the capacity to replace, augment or compliment human activity. This is what we do.
SymphonyAI Industrial Digital Manufacturing History
Savigent acquired by SymphonyAI Industrial
Install base grows to over 500 global sites
Patent granted for Patterned-Based Service Bus using Activity Oriented Services
Patent granted for Workflow Management in a Distributed System
Patent granted for Agent Based Development and Runtime
Company name is changed to Savigent
Workflow product developed and deployed
MES Client developed
Seagate Technology becomes a customer
First software product is launched - IQB
for installation in several Ford automotive factories
Nash Controlware is founded by Joel Nash and Steve Barnett
Plant Performance Division
SymphonyAI Industrial plant performance applications span asset predictive maintenance and process health and optimization, maintaining high availability of equipment, extending the life of capital assets, and reducing process variability.