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Fremont, CA: Recognize, a technology services investment platform, has made a strategic investment in leading machine learning and advanced data analytics services company SpringML. Following the transaction, SpringML's founders are expected to continue to lead the company and concentrate on further scaling the business, while Raj Mehta, Co-Founder and Partner at Recognize, will serve as Chairman of the company's Board of Directors.
SpringML offers to consult implementation services and industry-specific analytics solutions for generating high-impact business value from data on the Google Cloud and Salesforce platforms. With deep expertise in retail, healthcare, logistics, manufacturing, and public sector verticals, the company leads critical projects for sophisticated enterprise clients, including Fortune 500 brands.
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SpringML's next-generation capability set, which includes proprietary accelerators for artificial intelligence and machine learning, data analytics, cloud migration and visualization, smart application development, and security solutions, is a driving force behind the company's impact.
"SpringML has always aspired to be the partner of choice for the enterprise's digital transformation journey. Over the past year, we've seen a massive acceleration of digital transformation across nearly every industry and demonstrated how data can be used to make critical decisions," mentioned Charles Landry, CEO of SpringML. "Relationships are central to our mission at SpringML and we are excited to take the next phase of our journey together with a team at Recognize that shares our core values and brings highly relevant expertise."
"Cloud computing, data and advanced analytics are at the heart of digital transformation and are fundamentally changing how companies, governments and economies function," stated Recognize Co-Founder Frank D'Souza. "Recognize is thrilled to partner with SpringML's leadership to further advance their differentiated capabilities and continue helping customers solve their most critical business and technical challenges."
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