New offering breaks down silos between product, design, and engineering teams while providing security large organizations demand.
FlutterFlow announced Dreamflow Enterprise, a major expansion of Dreamflow, its agent-first app creation environment. Built for large organizations, Dreamflow Enterprise enables teams to accelerate the delivery of production-ready mobile apps, without compromising security, brand or architectural integrity.
Dreamflow Enterprise provides product, design, and engineering a shared workspace to go from idea to production-ready, cross-platform mobile apps. It uniquely combines AI-assisted generation, a visual builder, and real Flutter code that connects directly into Git.
Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard
The new capabilities focus on three critical areas: seamless cross-functional collaboration, centralized resource management, and stronger security and compliance.
“Most teams are slowed down by silos and process, not ideas,” said Abel Mengistu, CEO of FlutterFlow. “Dreamflow Enterprise helps organizations move faster on mobile apps while still giving them the control and consistency they expect, plus the ability to deliver differentiated, on-brand experiences across every platform from a single workflow.”
Seamless cross-functional collaboration
Dreamflow Enterprise brings product managers, designers, and developers into the same live project canvas, eliminating the friction of bouncing between specs, design files, and separate implementations. Teams can build using AI prompts, visual editing, or direct code, and it always stays in sync real-time.
To ensure speed doesn’t come at the cost of quality, Dreamflow Enterprise gives teams deep control over configuration and agents custom-trained for mobile apps. With fine-grained layout controls and previews on real devices, teams can finalize details before engineering sign-off, so what ships feels crafted, not generic.
Robust centralized management
Dreamflow Enterprise introduces centralized tools designed to manage resources efficiently across a large mobile portfolio. New shared credits allow IT leaders to manage and monitor AI usage ventrally across multiple teams and projects, eliminating the administrative burden and friction of managing individual user accounts.
Uncompromised security and compliance
To meet the rigorous expectations of large enterprises, Dreamflow Enterprise includes stronger security guarantees, including SOC 2 compliance.
Crucially for intellectual property protection, Dreamflow does not train its foundation AI models on customer source code or app data, ensuring customer IP remains protected. Furthermore, all projects are backed by Git-native history, ensuring audit-ready change tracking.
Marketing Technology News: Is the Traditional CDP Already Out of Date?
