WaveMaker sees early adoption for agentic AI coding tool

WaveMaker says its agentic AI application generation system has seen early customer adoption since launch, with users in retail, government and financial services.

Within weeks of opening trial sign-ups, enterprise development teams in financial services, banking, energy, supply chain and telecommunications began testing the system. WaveMaker also cited a strategic collaboration with Accenture focused on application modernisation for businesses with up to USD $3 billion in annual revenue.

The product is aimed at organisations that want to use AI in software development without giving up control over architecture, code quality and costs. According to WaveMaker, the system uses an architecture-first, two-pass code generation approach that separates AI-generated intent from deterministic code output, reducing review and rework.

Named customer references include Colruyt Group, Belgium's largest supermarket retailer, and the Etat de Genève. WaveMaker said those deployments reflect use cases where development teams need to move quickly while meeting internal standards for security, governance and maintenance.

At Colruyt Group, the platform is being used for application development and reporting tied to specific business requirements. The retailer said the rollout has improved development speed while lowering costs.

"WaveMaker has transformed our development lifecycle by making high-end application building both fast and intuitive. Beyond the speed of delivery, the platform allows us to create meaningful screen designs and powerful, data-driven reports purpose-built for our specific business needs. It's a rare solution that balances sophisticated technical capability with 30% cost savings," said Laxmi Vermaraju, Sr. Applications Manager, Colruyt Group.

In Geneva's cantonal administration, the system is being used in an on-premises deployment integrated with SAML authentication and GitLab CI/CD as part of the software delivery process.

"WaveMaker has become a cornerstone of our digital transformation, delivering a high-performance, on-premises solution that balances rapid UI development with rigorous enterprise standards. By leveraging its intuitive widget library and seamless integration with SAML authentication and GitLab CI/CD, we have significantly accelerated our development cycles while maintaining a secure, professional-grade application lifecycle. WaveMaker doesn't just speed up coding; it optimizes our entire delivery process for maximum efficiency and ROI," said Jean-Christophe Chatraz, Technical Leader, Etat de Genève.

Partner activity

WaveMaker also highlighted work with KX, where the platform is being used for front-office trading and research workflows. The effort combines KX analytics and data tools with WaveMaker's user interface generation system.

"Working with WaveMaker has accelerated how we bring agentic AI to front-office trading and research workflows," said Nataraj Dasgputa, Senior Vice President of AI Solutions, KX. "By combining KX's real-time analytics, AI infrastructure, and KDB-X's ability to work across both structured and unstructured data with WaveMaker's agentic platform for rapidly building secure, enterprise-grade user interfaces, we are developing innovative trading agent workflows that help teams move faster from market data and contextual information to decision-ready insight. Together, this creates a powerful foundation for what we believe is one of the industry's first agentic AI trading workflow environments for the front office."

The market for AI coding tools has expanded rapidly as software teams look for ways to automate parts of design, development and testing. For vendors targeting larger companies, the challenge is often less about generating code quickly than about fitting AI tools into tightly controlled engineering environments.

WaveMaker's position is that enterprise teams need predictable output that developers can inspect, maintain and extend over time. It argues this is especially important in regulated sectors and large organisations, where software must align with existing architecture standards and delivery processes.

According to the company, feedback from trials has shown a common pattern among enterprise users: teams are responding not only to generation speed, but also to the structure of the output.

"The pattern we're seeing is consistent," said Vikram Srivats, Head of Product Experience, WaveMaker. "Enterprise teams try WaveMaker and immediately see the difference that architecture-first generation makes. They're not just getting faster output, they're getting output their teams can actually understand, own, extend, ship and maintain with confidence."

WaveMaker, based in the Dallas area, says its software is used by customers in regulated industries building web and mobile applications. The platform supports the generation of Angular, React and React Native applications from Figma design files and natural language prompts, with what it describes as architectural guardrails and deterministic code generation for longer-lived software projects.