Aurora AI
Aurora AI: Build AI Infrastructure & Test Voice Agents
Aurora AI lets teams browse open-source models, assemble custom AI infrastructure, and run natural language QA tests on voice agents in seconds.
Overview
Aurora AI (formerly known as Incribo) is a collaborative platform designed for developers, researchers, and content teams who want to build AI systems without starting from scratch. At its core is a searchable catalog of open-source AI models, giving users the freedom to browse, compare, and assemble the exact infrastructure their project needs. Rather than working in isolation, teams can tap into a built-in community layer to share knowledge, troubleshoot, and discover new approaches to AI development.
Beyond infrastructure building, Aurora AI stands out with its natural language QA engine tailored specifically for voice agents. Users can generate downloadable, high-quality audio test files in as little as 60 seconds, dramatically speeding up the validation cycle for conversational AI products. Combined with team collaboration tools for content creation, the platform bridges the gap between technical model deployment and the creative, linguistic work needed to make voice agents sound natural and perform reliably.
Capabilities & Features
- AI infrastructure
- Open-source AI
- Natural language QA
- Voice agents
- Audio testing
- Community
- Collaboration
- Content creation
Core Features
- Searchable catalog of open-source AI models
- Custom AI infrastructure builder
- Community engagement and knowledge sharing
- Team collaboration workspace for content creation
- Natural language QA testing for voice agents
- Fast, downloadable audio test generation (under 60 seconds)
Use Cases
- Assembling a custom AI stack from vetted open-source models
- Running rapid QA audio tests to validate voice agent responses
- Coordinating team-based content creation projects
- Networking and troubleshooting within an AI-focused community
- Benchmarking linguistic accuracy for conversational AI products
Best For
- AI developers
- Voice agent developers
- Content creators
- Researchers
- Linguists
Pros
- •Simplifies discovery and deployment of open-source AI models
- •Speeds up voice agent testing with 60-second audio generation
- •Combines technical infrastructure tools with creative collaboration features
- •Active community layer supports peer learning and troubleshooting
- •Single platform reduces need for multiple disconnected tools
Cons
- •Only one pricing tier is publicly listed, which may limit flexibility for larger teams
- •Reliance on open-source models may require additional vetting for production use
- •Natural language QA feature may be narrowly focused on voice agents rather than broader AI testing needs
- •New users may face a learning curve navigating both infrastructure and collaboration tools
How to Use
1. Sign up and access the open-source AI model catalog. 2. Browse available models and select the components needed to build your custom AI infrastructure. 3. Invite your team to collaborate on content creation within the platform. 4. Engage with the broader Aurora AI community for feedback, tips, and shared resources. 5. Use the natural language QA tool to run tests on your voice agent and generate downloadable audio results within 60 seconds.
Frequently Asked Questions
Pricing
Aurora AI offers a single Basic plan at $15/month, granting access to the model catalog, infrastructure building tools, community features, and team collaboration.
Pricing data is provided as a summary. Visit the vendor website for full tier details.