Contentful ID
vFeGffnbVniv2yzBEzXfZ
Is This an LCRI Tag?
False
Bergstrom LLC
Contentful ID
hMSCPizObFkmj0m2jHvSnepsPfGogI7M
Company Values
Entity Description
Fugiat magna deserunt elit ex do consectetur anim qui ea esse duis. Exercitation ea nostrud minim ut. Amet mollit consectetur proident et elit tempor minim aute sunt aliquip proident occaecat.
Entity Name
Bergstrom LLC
Focus Areas
General - Organization
Entity Type
University
Group/Division/Lab name
Haveluloto
IP Position
2.9.7
Is LCRI Company?
Yes
Partner Reference
Technology Areas
Technology Description
Ipsum do tempor anim exercitation ut nulla eu. Cillum est duis in laborum anim.
Technology Name
Licensed Rubber Shoes
McKenzie, Schiller and Zulauf
Contentful ID
quqyHf85xO6yiyIkhU8X5dL7421nM8Tm
Company Values
Entity Description
Nulla esse deserunt ea dolore. Voluptate Lorem nulla do ea.
Entity Name
McKenzie, Schiller and Zulauf
Focus Areas
General - Organization
Entity Type
Company
Group/Division/Lab name
Macau
IP Position
4.8.9
Is LCRI Company?
Yes
Partner Reference
Technology Areas
Technology Description
Quis ipsum adipisicing enim consequat proident. Mollit ex nisi nulla Lorem et adipisicing eu laboris.
Technology Name
Incredible Concrete Pants
Community Energy Labs
Contentful ID
1XNFpFZpYqHrRxjXMLIOTb
Company Values
Entity Description
CEL is bringing to market the first truly scalable AI Powered Clean Building Control.
Our vision is to affordably enable communities’ building decarbonization goals by 2030 by providing an innovative platform for carbon-free, affordable, and reliable building control without disrupting power markets or the grid.
Our vision is to affordably enable communities’ building decarbonization goals by 2030 by providing an innovative platform for carbon-free, affordable, and reliable building control without disrupting power markets or the grid.
Entity Name
Community Energy Labs
Focus Areas
General - Organization
Entity Type
Company
Is LCRI Company?
No
Pilots/Demonstrations
Technology Description
CEL is an IoT & Software as a Service control platform for building operators who find it complex, frustrating, and very expensive to meet new building energy goals. We install wireless sensors, equipment controllers, and use cloud-based software powered by machine learning to autonomously predict and efficiently control how and when building equipment is operating so that more of it is powered by renewables. In doing so we offer building owners better indoor air quality, higher levels of energy savings, lower carbon and up-front cost, and faster returns than competitors like Trane or Johnson Controls