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CurveTechAI is now Elvee.

Same dedicated team, same quality service - now with a fresh identity.

Tools you can use today

Tools you can use today

Resources and guidance to help your team navigate workplace challenges, with actionable and measurable insights to create a better experience for everyone

How CHCP Uses AI to Keep Students on Track

•⁠ ⁠Why traditional retention tools fail coaches managing 300+ students
•⁠ ⁠How Elvee flags risk before grades or attendance signal a problem
•⁠ ⁠Why true partnership and not just technology, makes the difference
•⁠ ⁠Why CHCP chose Elvee — and what changed after they did

Learn how CHCP shifted from reactive to proactive, and what that means for graduation rates and the students who need support most.

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How AI can solve the higher education retention crisis
December 9, 2025 In the News
How AI can solve the higher education retention crisis
Author: Raz Dar
Elvee's CEO Raz Dar explores how AI is transforming student retention in higher education, featuring insights from Rachel Gordon, Vice President of Student Financial Aid at the American University of Antigua College of Medicine. With nearly 33% of college students dropping out and recruitment costs ...
Why Employee Well-Being Is the Secret to Optimizing Workforce Performance
Elvee CEO Raz Dar explores the critical link between employee well-being and organizational performance. Rather than treating well-being as a siloed HR initiative, forward-thinking leaders are recognizing it as a strategic driver of retention, productivity, and business growth. Featured in HR.com, t...

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Explore how Elvee can transform your contact center

ELVEE is the world’s first AI prediction platform designed to elevate human engagement wherever it matters most. By combining advanced AI to detect early signs of disengagement with emotionally intelligent interventions, ELVEE empowers leaders to take the right action at the right time and unlock millions in savings. From students in higher education to employees at contact centers, ELVEE identifies those at risk of leaving with up to three months' advance warning at 90% accuracy.

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