WaveMaker has launched an agentic application-generation platform for business development teams seeking faster software delivery while retaining control over architecture, governance and long-term maintenance.
The product targets midmarket organisations and cross-functional development groups building applications for long-term production use. It arrives as AI-assisted coding tools gain traction with individual developers and small teams, often with looser controls around standards and cost predictability.
WaveMaker positions the platform as a two-step system that separates intent from final code. It combines agentic prompts with a visual canvas and a code editor in what it calls a hybrid integrated development environment.
Two-pass build
The platform ingests Figma design files and natural-language prompts, then generates a technology stack-agnostic markup layer. According to WaveMaker, the markup includes architectural guardrails and is reviewed by developers before code generation begins.
After review, the system converts the markup into code using a deterministic engine. WaveMaker says the design keeps results consistent across teams and projects, while enabling more predictable use of large language models and more controllable AI-related costs.
The emphasis on deterministic outcomes reflects a broader challenge in AI coding. Many organisations are experimenting with generative tools but struggle to standardise how code is produced, reviewed and maintained across multiple developers, lines of business and delivery teams. Governance concerns also rise when code is generated quickly without clear architectural patterns.
Team workflows
Developers can work visually or through agentic prompts, and teams can integrate the platform into existing software development life cycles. WaveMaker pitches it for organisations that want a repeatable development model rather than ad hoc code generation.
WaveMaker framed the launch around pressures on internal application teams.
“Businesses and their custom application teams are under the twin pressures of quickly taking advantage of agentic AI while ensuring it delivers guaranteed outcomes at predictable costs,” said Vijay Prasanna Pullur, co-founder and CEO. “WaveMaker solves this challenge by enabling organizations to build design-first, architecture-first and standards-first applications for businesses minus the typical complexity and cost.”
The launch also cites customer and partner activity. Nokia’s Network Monetization Platform unit said the product direction aligns with its priorities around AI-native development.
“This launch is strong evidence of our aligned vision and purpose with our partner WaveMaker: enabling AI-native software development and building better applications faster for the AI era,” said Mikko Jarva, head of portfolio and architecture at the unit.
Blue Yonder said it is using the WaveMaker platform in its product work.
“Blue Yonder is using WaveMaker to support extensibility in areas of our supply chain solutions. This launch is part of our continued efforts to accelerate AI-enabled capabilities for customers,” said Nunzio Esposito, chief design officer.
Market context
The announcement comes as AI coding assistants and agentic tools become more common in commercial software development. Tools that generate code from prompts can reduce time spent on repetitive implementation tasks, but they also raise questions about control of software structure, code quality and long-term maintainability-especially in regulated industries and complex enterprise environments.
WaveMaker aims to differentiate by emphasising standard patterns and separating design intent from code output. It also highlights application generation from design inputs, rather than focusing only on code suggestions inside an editor.
WaveMaker is headquartered in the Dallas metro area and works with customers in regulated industries. It says applications built on its platform are used by millions of consumers and business users.
The company is accepting sign-ups for product trials of the new system.