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AI-Assisted Java platform
for enterprise application development

AI can generate code. Jmix helps teams turn it into enterprise software
that is cheaper to deliver and easier to maintain.
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Open-source
Self-hosted and public LLMs
Java and Spring Boot
Support for Opencode, Claude
Code, Codex

AI can generate code faster.
Enterprise delivery still breaks in the usual places

Teams can use AI to speed up implementation, but enterprise systems still need architecture, conventions, secure data access, and long-term maintainability.
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Weak input leads to weak enterprise output
In enterprise development, AI is only as good as the context, constraints, and architectural judgment behind it. Weak input still leads to the wrong solution — just faster.
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Speed without guardrails creates technical debt
Generated code may look productive at first. Without guardrails, it often leads to inconsistency, defects, and long-term maintenance overhead.
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Runtime AI needs governed access
Enterprise AI is not just about coding assistance. It also requires secure, role-based access to application data and workflows.
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The real question is not whether to use AI.
The challenge is delivering more with it while staying responsible for what goes into production.

How Jmix provides AI stewardship

Jmix enables AI use across enterprise software delivery while aligning implementation, governance, and runtime behaviour with platform conventions.
1
Build with AI
Help developers implement faster with Jmix-aware coding assistance, AI-agent skills, and documentation context.
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    Jmix-aware coding guidance
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    Documentation in workflow context
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    Skills for AI-agents
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Rely on proven architecture
Keep AI-driven delivery aligned with architecture, security rules, and enterprise development standards.
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    Architecture boundaries stay visible
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    Security rules remain enforced
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    Platform consistency across teams
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Deliver AI-powered applications
Bring AI into enterprise workflows through governed assistants, natural-language access to data, and natural-language queries for getting data insights.
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    Secure access to enterprise data
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    Conversational UX and BI
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    Keeps people in the loop
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About Jmix

Jmix is an open-source Java platform for enterprise application development with AI-assisted tools and governed architecture.

Built on Spring Boot and mainstream open-source technologies, Jmix helps teams deliver enterprise systems faster without frontend bottlenecks, vendor lock-in, or loss of architectural control.

Visual development tools, enterprise add-ons, and platform-aware AI assistance help developers accelerate delivery while keeping full ownership of source code, data, and long-term system evolution.

rating
rating
Framework:
proven architecture based on
mainstream open-source technologies​
Studio:
rapid development tools​
Marketplace:
out-of-the-box add-ons for typical
business tasks​
rating
10 years
Est. 2016
International
Offices in the UK, Europe and worldwide
Used in
170+ countries
400+
enterprise projects completed
Millions
of end-users
25,000+
Java developers build apps with Jmix

Our solutions are used by

Company `s logo johnson-johnson
Company `s logo ingenico
Company `s logo epam
Company `s logo publicisgroupe
Company `s logo orange-business
Company `s logo adesso
Company `s logo sky
Company `s logo wipo
Company `s logo capgemini
Company `s logo mitsubishi
Company `s logo ntt-data
Company `s logo anz
Company `s logo erste-bank

One platform story across development,
governance, and runtime

Jmix connects AI-driven implementation, enterprise architecture control, and AI-powered business experiences inside one development platform.
Development layer
AI Assistant
Developer Studio
Agentic skills
Documentation context
Platform layer
Enterprise framework
Security system
Platform conventions
Data model
AI governance
Application layer
AI-enabled workflows
Internal AI-assistants
Text-to-data experiences
Business-facing capabilities
The result is not fragmented AI adoption, but a consistent delivery model
For development teams
Build faster with AI guided by Jmix conventions
Jmix helps development teams use AI in a controlled way, reducing architectural mistakes and improving project consistency.
AI-assisted development works better when the platform speaks first.
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Jmix AI Assistant
AI support inside the development workflow for solution design support, code generation, and instant documentation lookup.
Explore
Jmix Studio for IntelliJ IDEA
Visual development tools that help teams deliver features faster and keep generated code aligned with Jmix project conventions.
Explore
Jmix Skills
Reusable rules and guidance for AI agents that keep generated output structured and consistent.
Explore
Documentation-aware context
Up-to-date Jmix documentation available to the AI-agent to reduce hallucinations, framework misuse, and confident nonsense.
Explore
Faster implementation
Fewer framework mistakes
Predictable AI-driven delivery
For architects and platform owners
AI needs guardrails. Jmix provides them
Standalone AI tools can accelerate output. Jmix adds the architectural boundaries, data governance, and platform consistency required for enterprise adoption.
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Structured application foundation
Jmix provides a stable, opinionated foundation for enterprise application development, helping teams design systems that are scalable, maintainable, and cheaper to evolve.
Governed data access
Built-in security and access control help protect business data and define clear boundaries for AI-enabled workflows and user interactions.
Ownership without lock-in
Applications remain fully owned by the customer, with open-source foundations, deployment flexibility, and no runtime licensing trap.
Full application ownership
Standardized development
Long-term sustainability

Move from AI-driven development
to AI-assisted applications

Jmix helps teams bring AI into enterprise products through governed user experiences built around real workflows, application permissions, and business data.
AI-first business intelligence
Let users ask questions in plain language and get relevant information directly inside enterprise workflows, without jumping across disconnected tools.
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AI-agents inside operational systems
Embed AI-agents into internal applications to support guided actions, contextual help, and decision support within the boundaries of business roles and permissions.
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Production-ready B2B CRM built with Jmix, featuring AI-driven
workflows, analytics, and governed access to enterprise data.
Explore the demo
Not a generic chatbot added to the UI. A governed AI capability built into the application

Why enterprise teams choose Jmix
for AI-assisted delivery

Jmix combines AI-assisted development productivity with the enterprise-grade architectural boundaries
  • Open-source core

    Build on transparent technology instead of proprietary black boxes.

  • Full ownership

    Keep control over source code, deployment, and application lifecycle.

  • No runtime licensing trap

    Scale applications without unpredictable runtime fees.

  • Java and Spring foundation

    Use mainstream technologies that support hiring, onboarding, and long-term maintainability.

  • Security by design

    Build AI-enabled apps on top of governed data access and platform-level security controls.

  • Structured engineering

    Accelerate delivery without turning software development into a prompt-driven Shadow IT.