Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services
Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 7 October 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.
Flyer
From Legacy Debt to AI-Driven Operations — Without the Multi-Year Overhaul
AI in healthcare isn’t failing because of ambition—it’s failing because of data.
While healthcare payers accelerate AI adoption, most are held back by fragmented systems, legacy data warehouses, and rising cloud costs. The result? Promising initiatives stall before they deliver value.
If your organization is grappling with slow HEDIS cycles, siloed member data, or reactive data operations, this flyer shows you how to bridge the gap.
What You’ll Discover in the Flyer
Get a closer look at how to transform your data foundation with:
Built for Healthcare. Designed for Impact.
With deep expertise in HEDIS, FHIR, and value-based care, Hexaware combines domain knowledge with AI-powered platforms like Amaze® and Tensai® to accelerate outcomes and reduce operational friction.
Is your data foundation ready for AI?
If you’re not sure, the answer is probably no. Find out what a truly AI-ready data foundation looks like — and what it takes to build one without a multi-year overhaul.