• Build with AI - Turn requirements into applications. 
  
  
• Develop with AI - Context-aware developer assistance.
  
  
• Use with AI - Intelligent help for every user.
  
  
• Connect to AI - Native MCP for secure agents.
  
  
• Embed AI - AI inside business processes.

ONE INTEGRATED PLATFORM

AI is not bolted on. It is built in.

kinodb.ai embeds artificial intelligence across the application lifecycle, from design and development  to deployment, operation and end-user support.

THE DIFFERENCE

Build the business application.  Let kinodb manage the technology.

Security, scalability, resilience, authentication, integration and technical evolution are handled at platform level, so developers can focus requirements instead of infrastructure.

• AI Application Builder - Design

• AI Development Assistant - Build

• AI User Assistant - Use

• Native MCP - Connect

• Embedded AI - Automate

• kinodb metadata model - One foundation

• Enterprise platform - Secure, Scalable, Robust

FIVE DIMENSIONS OF ENTERPRISE AI

Everything works from a single application model.

No disconnected AI layer.  No separate agent architecture.  No reinvention for every application.

1 AI-powered Application Builder

Transform ideas into working application in minutes. The AI-powered Application Builder generates the initial application model, enabling developers to move rapidly. from concept to a functional solution while maintaining the governance and quality expected of an enterprise applications.

2 AI Development Assistant

An intelligent assistant that understands the application's metadata model and helps create functionality, modify applications, generate code and accelerate delivery.

3 AI User Assistant

Gives users a natural-language access to applications knowledge and guidance while respecting their existing access rights and permissions.

4 Native Model Context Protocol (MCP)

Allow authorised AI agents to discover and interact with any kinodb application (even those built more than 20 years ago) through a controlled, standard MCP integration layer.

5 Embedded AI capabilities

Use AI natively within workflows for tasks such as Special Category Data (SCD) redaction, document classification information extraction, summarisation, validation and intelligent decision support. 

AI WITHOUT THE INTEGRATION BURDEN

Less technology to build, own and maintain.

Traditional AI application projects can require model integrations, APIs, security wrappers, agent interfaces and custom code.  Each additional layer becomes another dependency.

• One application model
  AL capabilities work from the same metadata foundation.
  
  
• Enterprise controls built-in
  Use the application's existing security and access model.
  
  
• Minimal integration overhead
  Reduce bespoke interfaces and duplicated architecture.

"AI should make application development simpler, not create another technology stack to maintain."

Build the application once.

Let the platform keep the technology current.

AI WITHOUT THE TECHNICAL DEBT

Applications that evolve instead of becoming legacy.

kinodb applications are defined as metadata rather than being tied to a particular generation of application technology.  As technology changes, the platform evolves while the business application remains.

• New security requirements
  Introduce new standards at platform level.

• New integration technologies
  Evolve without rebuilding every application.

• New generations of AI
  Adopt new capabilities while preserving the application model.

kinodb.ai

Build with AI. Build AI in.

See how kinodb.ai can turn a business requirement into a secure, scalable enterprise application, and make AI part of the application from day one.