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Go with our client’s words on how we helped transform their business

Mike Kriesman,
CIO at Loris Gifts

We had a challenge to quickly build a dashboard for inventory comparison across 200+ stores by Category and SKU. Zuci was able to successfully implement the tool and meet our aggressive timeline. Since then, they have helped us with multiple other key needs and the Zuci partnership has turned as a valuable one for us.

Brian Fujito,
CTO at Tios Capital

Zuci helped us implement a TestNG-based automated test suite and delivered it in a Jenkins environment, for our data analytics and trading platform. We now use it to verify the critical paths of our systems, prior to major releases. We are grateful to Zuci team’s hard work and successful delivery.

Siva Kalavagunta,
CTO at Xpressdocs

Zuci’s team built a reliable and scalable test automation framework including 1000+ testcases. We wanted to go a step further and research on new approaches. Zuci’s team adapted to the approach promptly. Their implementation has been very flexible and robust. In a partnership with Zuci, we have never witnessed a compromise in quality.


UG Mamidipoodi,
Director of Product Development at Eze Software Group

Zuci proposed the right approach to build BDD Test Automation and allocated the right people to help us automate about 400 test scenarios covering the entire application and to be able to make faster and nimble releases. We could achieve our business goals within the stipulated timelines. Thank you Zuci for your trusted partnership!

Ramesh Gopalarathinam,
Assistant Vice President at Toppan Merrill

Team Zuci has been quick to understand our internal solutions and ensured faster delivery of “proof of concept” work. This helped our development team gain ‘Dev Points’ during every sprint cycle. I am delighted to work with them and would strongly recommend Zuci to any enterprises looking for agile development partners.

James C. Jacobson,
President at First Financial Service Center

Zuci with its underwriting solution, HALO helped us eliminate bad loan applicants, and identifying good loan candidates. This system uses a Generative Adversarial Network, a class of machine learning systems that helped us significantly improve the accuracy within 6 months of implementation.


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