Veea and Lynxspring Announce Collaborative Strategic Partnership to Accelerate Edge-to-Cloud and Containerization Opportunities
Partnership will drive deployment of edge-enabled technologies in smart commercial buildings while reducing the need for extensive cloud infrastructure
NEW YORK & LEE’S SUMMIT, Mo.–(BUSINESS WIRE)–Veea Inc. (NASDAQ: VEEA), a pioneer in edge computing and AI-driven solutions, and Lynxspring, Inc., a premier manufacturer, developer, and provider of open software and hardware platforms for smarter buildings, smart equipment and device-to-enterprise integration and automation, announced they have partnered to jointly rollout technologies and solutions that simplify data management, improve operational efficiency, and enable real-time decision-making for building owners and operators.
The combined offering leverages Veea’s edge computing capabilities alongside Lynxspring’s advanced edge-to-cloud building management and data management solutions to create a comprehensive ecosystem for managing smart environments, including buildings, campuses, agriculture, and cities. This integration of edge-to-enterprise technologies normalizes both wired and wireless endpoints, expanding the available dataset to provide greater actionable insights across all market use cases.
Key Benefits of the partnership include:
- Multiaccess connectivity and seamless integration with most any system, device and equipment
- Independent Data Layer (IDL)
- Federated machine learning with edge AI
- Enhanced Analytics: Real-time data access and data modeling for actionable insights
- Accelerated Outcomes
- Centralized Control and Access
“Lynxspring’s 23+ years of experience in OT connectivity, technology development and deployment, integration and interoperability expertise and their ability to complement our technology and solutions through powerful software, hardware and support services make them an ideal partner for our company,” said Allen Salmasi, Founder and CEO of Veea. “Integrating the Lynxspring platform with the Veea Edge platform enables us to address a wide range of use cases through combined offerings of our products and services.”
The collaboration aims to set new benchmarks in the realms of building automation and integration in smarter buildings, smart agriculture, and smart city development, all of which are known for forward-thinking approaches. The focus will be on creating solutions that not only advance the technology but also deliver tangible outcomes in terms of operational efficiency, data use and control.
“The partnership between Veea and Lynxspring is a major step forward for the industry, combining Veea’s expertise in leveraging Containerized Portable Niagara on edge servers with Lynxspring’s innovative, OT data-driven E2E platform, and integration and interoperability,” said Marc Petock, Vice President and Chief Marketing and Communications Officer of Lynxspring. “Together, we look forward to bringing innovation, real-time analytics, and enhanced control to the smart building market, helping our clients achieve their decarbonization and operational efficiency targets.”
About Veea
Veea Inc. (NASDAQ: VEEA) was formed in 2014 and is headquartered in New York City with a rich history of major innovations in the development of advanced networking, wireless and computing technologies. Veea makes living and working at the edge simpler and more secure. Veea has unified multi-tenant computing, multiaccess multiprotocol communications, edge storage and cybersecurity solutions through fully integrated cloud- and edge-managed products. Veea’s fully-integrated turnkey solution offers end-to-end cloud management of devices, applications and services with Zero Trust Network Access (ZTNA), optionally with a highly simplified plug and play 5G-based Secure Access Service Edge (SASE) offering. Veea Edge Platform™ enables direct connections from the wide area optical fiber, cellular and satellite networks to devices on the local area networks created by a VeeaHub® mesh cluster over network-managed Wi-Fi and IoT devices – a unique patented capability called Multiprotocol Private Network Slicing (MPNS) for ISPs to offer subscription-based services for one or a group of endpoints. Veea Developer Portal and development tools provide for rapid development of edge applications including federated learning with pre-trained models for inferencing to cost-effectively enable Edge AI for most enterprise use cases. Veea was recognized in 2023 by Gartner as a Leading Smart Edge Platform for the innovativeness and capabilities of our Veea Edge Platform™ and a Cool Vendor in Edge Computing in 2021. Veea was named in Market Reports World’s in its research report published in October 2023 as one of the top 10 Edge AI solution providers alongside IBM, Microsoft, Amazon Web Services among others. For more information about Veea and its product offerings, visit veea.com and follow us on LinkedIn.
About Lynxspring, Inc.
Founded in 2002, and embracing open software and hardware platforms, Lynxspring develops, manufactures, distributes, and supports edge-to-enterprise solutions and IP technology that create smarter buildings, smarter equipment, and smarter solutions. The company’s technologies, products and services provide connectivity, control, integration, interoperability, data access, aggregation and visualization enabling users to achieve operational and business outcomes. The versatility, functionality, and broad scope of the company’s product portfolio, combined with its extensive domain knowledge of the built environment, make it a powerful and economical solution for system integrators, building owners and operators, consultants, and equipment manufacturers. Lynxspring’s solutions are deployed in millions of square feet of commercial and government settings in the United States and internationally. More information about Lynxspring is available at: www.lynxspring.com.
Forward-Looking Statements
This press release contains certain forward-looking statements within the meaning of the federal securities laws. These forward-looking statements generally are identified by the words “believe,” “project,” “expect,” “anticipate,” “estimate,” “intend,” “strategy,” “future,” “opportunity,” “plan,” “may,” “should,” “will,” “would,” “will be,” “will continue,” “will likely result,” and similar expressions.
Examples of forward-looking statements in this press release include, but are not limited to, statements regarding the Company’s upcoming technology deployments, partnerships, and anticipated commencement dates. These statements are based on various assumptions, whether or not identified in this press release, and on the current expectations of Veea’s management and are not predictions of actual performance. These forward-looking statements are provided for illustrative purposes only and are not intended to serve as, and must not be relied upon by any investors as, a guarantee, an assurance, a prediction or a definitive statement of fact or probability. If any of these risks materialize or the parties’ assumptions prove incorrect, actual results could differ materially from the results implied by these forward-looking statements. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release. There may be additional risks that Veea presently knows or currently believes are immaterial that could also cause actual results to differ from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and Veea assumes no obligation to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise.
View source version on businesswire.com: https://www.businesswire.com/news/home/20250117751306/en/
Media Contact:
James Christopherson
Sterling Communications for Veea Inc.
[email protected]
KEYWORDS: United States North America New York Missouri
INDUSTRY KEYWORDS: Hardware Data Management Technology Artificial Intelligence Software
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