Company profile
Ligantic
AI platform for building and launching AI applications from prototype to production.
- Category
- Developer tools
- Headquarters
- Bendigo
- Sells to
- Mixed
- Business model
- Freemium, SaaS subscription
- Deployment
- Cloud / SaaS, Self-hosted
- Pricing
- Tiered subscription · from $39/mo · free tier
- Builds own models
- No — builds on existing models
- Modalities
- Text, Image, Audio, Multimodal
What Ligantic does
Ligantic is an essential AI platform that enables users to quickly prototype and confidently launch AI solutions. It combines an easy-to-navigate UI with robust software engineering practices. The platform features a Flow Studio with an intuitive visual builder and drag-and-drop interface, allowing for the creation of AI-driven workflows without coding. It seamlessly integrates powerful capabilities such as large language models (LLMs), data extraction, and transcription. Ligantic also offers an Experience Studio for designing dynamic user interfaces, responsible AI practices for transparent systems, pre-built templates, and access to state-of-the-art AI models for text, image, and audio processing. It prioritizes enterprise-grade security and privacy with flexible deployment options, comprehensive access management, and SSO integration.
Products
- Flow StudioAn intuitive visual builder with a user-friendly drag-and-drop interface for creating AI-driven workflows without coding skills. It allows for automation of processes and development of advanced AI applications by integrating LLMs, data extraction, and transcription.
- Experience StudioA studio with intuitive drag-and-drop tools to create dynamic, real-world user interfaces. It allows users to utilize AI to generate UI designs or personalize them, connect data, design layouts, and launch unique experiences.
- Schema DesignerA tool to define the structure and relationships of data, allowing users to organize and display information within their solutions.
- Flow DesignerAllows users to define the sequence of actions and operations for data, enabling process automation and regulation of functionalities.
- Experience EditorEnables users to create and customize the user interface directly in their solution, building and editing pages, components, and layouts with ease.
Key capabilities
- Easy-to-navigate UI
- Robust software engineering practices
- Intuitive visual builder
- User-friendly drag-and-drop interface
- No coding required for AI application building
- Seamless integration of LLMs, data extraction, and transcription
- Responsible AI Practices (monitoring executions, explainable AI nodes, visualization tools, audit trails, feedback mechanisms)
- Pre-built Templates
- Access to state-of-the-art AI models (text, image, audio)
- Observability tools for AI systems (trace viewer, in-depth inspection of AI API calls, configurable logging levels, integration with existing logging infrastructure)
- Version-controlled flow execution for testing
- Visual flow mapping with latency tracking
- Structured output configuration for consistent data management
- Enterprise-grade security and privacy
- Flexible Deployment Options (self-hosted, dedicated isolated instance, multi-tenant SaaS)
- Comprehensive Access Management (fine-grained ABAC/RBAC controls, customizable role-based permissions)
- SSO Integration
- API Access
- Custom Domains
- Organisations (grouping Spaces, managing user access/permissions, configuring billing)
- Spaces (containers for solutions with security and data context boundaries)
- Centralised Billing
- Custom Hosting
- Access Control (role-based)
- AI Models (Anthropic, AWS Bedrock, Google, Groq, OpenAI)
Use cases
- Prototyping AI solutions
- Launching AI applications
- Automating processes with AI-driven workflows
- Developing advanced AI applications
- Generating UI designs with AI
- Personalizing UI designs
- Processing or generating images with multimodal models
- Transcribing audio
- Generating voiceovers
- Processing multimodal media inputs
- Processing, generating, and embedding text using text models
- Debugging AI pipelines
- Monitoring AI performance and reliability
- Managing AI output with configurable logging
- Testing flow execution
- Managing consistent data with structured output configuration
- Building out-of-the-box, AI-powered solutions
- Interpreting and generating text within solutions
- Interpreting or generating audio using AI models
AI approach
Ligantic provides a platform for building AI applications, offering a visual builder for AI-driven workflows without coding. It integrates state-of-the-art AI models from various providers, including LLMs, data extraction, transcription, image models, and audio models. The platform emphasizes responsible AI practices with monitoring, explainable AI nodes, and audit trails.
Tech named: Large Language Models (LLMs), data extraction, transcription, multimodal models, Anthropic, AWS Bedrock, Google, Groq, OpenAI, GPT-4o-mini
What it says sets it apart
- Combines easy-to-navigate UI with robust software engineering practices
- No coding required for building AI applications and workflows
- Access to state-of-the-art AI models hours after release, allowing combination of multiple models from different providers
- Comprehensive observability tools for AI systems, including RAG implementations and multi-agent systems
- Enterprise-grade security and privacy with flexible deployment options and fine-grained access control
- Templates for quick setup and customization
This profile was compiled from Ligantic's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.