iLearningEngines acquires in2vate for Expansion, leadership in AI driven learning automation

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iLearningEngines Inc, an enterprise software leader in AI-powered learning automation has acquired in2vate LLC, headquartered in Tulsa, Oklahoma, a risk management and learning platform provider. Their clients provide coverage for liability, workers’ compensation, healthcare, law enforcement, and cyber security sectors. In2vate claims to be serving in excess of two million users delivering high-impact risk management programs and services to enterprises, educational institutions, health systems, and law enforcement organizations.

Harish Chidambaran, CEO of iLearningEngines stated: “iLearningEngines is a market leader in combining AI algorithms with highly specialized data sets to diagnose or predict deficiencies in knowledge and deliver in-process learning prescriptions to each individual at scale. Our proprietary technology seamlessly complements in2vate’s industry expertise and together, we are perfectly poised to offer the most comprehensive learning automation solutions to clients across industries.”

Bala Krishnan, President and Chief Business Officer of iLearningEngines stated: “iLE and in2vate have worked closely together supporting mission-critical risk management initiatives in multiple large enterprises. The move to acquire in2vate is a natural extension of our shared synergies and partnership.”

Roger Duffield, President in2vate LLC stated: “in2vate is proud of our strong client relationships and the impact we have enabled for our customers. We are excited to bring our deep industry expertise in pairing risk management and learning automation solutions at scale.” iLearning engines explained that more than ever, enterprises need learning platforms that scale and align to their key business functions.”

iLearning engines explained that more than ever, enterprises need learning platforms that scale and align to their key business functions. iLearningEngines’ AI and learning automation platform enables enterprises to productize their enterprise knowledge and drive business outcomes at scale.

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