Skip to main content
Enterprise Preview: Nadoo Builder is currently available for enterprise customers. The source code will be organized and released publicly in the future.

What is Nadoo Builder?

Nadoo Builder is a visual, no-code platform for creating AI agents and workflows. It provides an intuitive drag-and-drop interface built on top of Flow Core, enabling both technical and non-technical users to build sophisticated AI applications.

Key Features

Visual Workflow Design

Drag-and-drop interface for creating complex workflows

Pre-built Templates

Start quickly with ready-made workflow templates

Real-time Collaboration

Work together with your team in real-time

One-Click Deployment

Deploy your agents instantly to production

Enterprise Preview Program

Current Status

  • Deployment Model: On-premise and private cloud deployments
  • Target Users: Enterprise organizations with AI automation needs
  • Support Level: Direct support from Nadoo AI team
  • Customization: Tailored to enterprise requirements

How to Get Access

1

Contact Sales

Reach out to our enterprise team at [email protected]
2

Discovery Call

Discuss your use cases and requirements with our solutions team
3

Pilot Program

Start with a proof of concept tailored to your needs
4

Full Deployment

Scale across your organization with our support

Builder Architecture

The Builder platform integrates seamlessly with Flow Core:

Core Capabilities

1. Visual Workflow Design

Create workflows using intuitive visual components:
  • Node Library: Drag nodes from the sidebar
  • Connection Logic: Connect nodes to define flow
  • Property Panels: Configure node behavior
  • Real-time Preview: See changes instantly

2. Integration with Flow Core

Every visual workflow compiles to Flow Core code:
  • Visual nodes map to Flow Core nodes
  • Connections become pipe operators
  • Properties translate to node configuration
  • Full compatibility with code-based workflows

3. Template System

Accelerate development with pre-built templates:
  • Customer support chatbots
  • Document processing pipelines
  • Data analysis workflows
  • Integration patterns

4. Collaboration Features

Work together effectively:
  • Real-time multi-user editing
  • Version control and history
  • Comments and annotations
  • Role-based access control

Platform Components

Frontend (Next.js + React)

  • React: For workflow visualization
  • TypeScript: Type-safe development
  • TailwindCSS: Modern styling
  • WebSocket: Real-time updates

Backend (FastAPI + Python)

  • Workflow Compiler: Converts visual to code
  • Execution Manager: Orchestrates Flow Core
  • API Gateway: RESTful and GraphQL APIs
  • Auth System: JWT-based authentication

Data Layer

  • PostgreSQL: Workflow definitions and metadata
  • Redis: Session management and caching
  • S3: Asset and artifact storage

Workflow Lifecycle

1

Design

Create workflow visually in the Builder
2

Compile

Convert to Flow Core workflow definition
3

Validate

Check for errors and compatibility
4

Deploy

Publish to execution environment
5

Monitor

Track execution and performance

Example: Building a Chatbot

Here’s how a simple chatbot looks in Builder vs Flow Core:
# Visual representation (simplified)
nodes:
  - id: input
    type: UserInput
    position: {x: 100, y: 100}

  - id: llm
    type: LLMNode
    position: {x: 300, y: 100}
    config:
      model: gpt-4
      temperature: 0.7

  - id: output
    type: ResponseOutput
    position: {x: 500, y: 100}

edges:
  - source: input
    target: llm
  - source: llm
    target: output

Deployment Options

Cloud Deployment

Deploy to Public Cloud (coming soon):
  • Managed infrastructure
  • Auto-scaling
  • Built-in monitoring
  • Pay-per-use pricing

On-Premise Deployment

Deploy in your infrastructure:
  • Full data control
  • Compliance ready
  • Custom integration
  • Enterprise support

Hybrid Deployment

Best of both worlds:
  • Sensitive data on-premise
  • Compute in cloud
  • Flexible architecture
  • Cost optimization

Security and Compliance

  • End-to-end encryption
  • Role-based access control
  • Audit logging
  • Data residency options
  • SOC 2 Type II (in progress)
  • GDPR compliant
  • HIPAA ready (roadmap)
  • ISO 27001 (roadmap)
  • Single Sign-On (SSO)
  • LDAP/AD integration
  • Custom authentication
  • API key management

Roadmap to Public Release

The public release timeline will be announced once the platform reaches feature completeness and stability targets.

Current Focus

  • Enterprise customer deployments
  • Core feature refinement
  • Performance optimization
  • Security hardening

Upcoming Features

  • Public cloud offering
  • Marketplace for templates
  • Advanced collaboration tools
  • Mobile application

Support and Resources

For Enterprise Customers

  • Direct Support: Dedicated support channel
  • Documentation: Private documentation portal
  • Training: Customized training sessions
  • SLA: Enterprise service level agreement

Community (Coming Soon)

  • Public documentation
  • Community forum
  • Video tutorials
  • Sample workflows

Next Steps