Businesses that bank on us
Go with our client’s words on how we helped transform their business
Matthew Riddiough Boylan,
Head of Testing at POWWR
Zuci have always made great efforts and gone that extra mile for us here at POWWR. From providing some of the most talented and dependable resources I have ever had the pleasure of working with, to being able to react to an ever changing and challenging situation in the light of the global pandemic. The team at Zuci have proven time and again that they are more than just a group of individuals, but an organization and a family that are able to pull together. From the senior management team all the way down to the consultants/staff they provide, they have an understanding as well as give the personal and very human touch to the services and interactions with us.
Product Development Manager, CCube Solutions
Zuci Systems has been an exceptional tech partner for CCUBE. The team has been proactive in understanding our technical requirements and has tried to always suggest the best alternatives, with the transparency and flexibility that makes them unique. We were looking for someone that could become an extension to our existing team, compliment the skillset that we had, and collaborate with us for the benefit of the Product. That is exactly what we received.
Chief Technology Officer, Clark County Credit Union
We successfully automated and deployed a number of robotic automation processes (RPA) in various areas of the organization. Adopting these RPAs delivered rapid ROI, increased control over operations, and enhanced accuracy over time. We look forward to continuing the partnership with Zuci on future initiatives.
Padmanaban T A,
Head of Digital Banking, City Union Bank
We started off with the business problem and picked our spots on where we would want to focus. Considering the pandemic, we wanted to safeguard our balance sheet, and on the other side, we still wanted to grow. So we chose jewel loans and overdraft cash credit as our focus area and took Zuci’s help to identify data sources and build a model which helped us predict the loan portfolios with 99.5% accuracy.
CIO at Lori’s 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.
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.
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.
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!
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.