Vitral AI

Vitral AI

Vitral is an AI-powered workspace platform designed for seamless interaction with large language models (LLMs) and collaborative AI tools.

About Vitral AI

Vitral is a comprehensive AI-integrated workspace platform offering native tools for advanced LLM interaction. It enables AI chatbots to collaborate with users through dynamic notebooks, live samples, and code editors. Designed for flexibility, Vitral supports task-specific workspaces, visual recognition, rich conversation interfaces, real-time sample creation, image generation, multi-pane modular layouts, web-based terminals, integrated code editing, and custom AI agents. It also features powerful search, data indexing, AI-managed compute resources, and compatibility with multiple LLM providers for diverse AI workflows.

How to Use

Start by creating a dedicated workspace in Vitral to focus on your project. Switch easily between specialized work areas optimized for distinct tasks. Use integrated AI agents and LLMs within your workspace to execute commands, manage data, and collaborate efficiently in real-time. Purchase credits to access a wide range of services and AI models as needed.

Features

  • Create and manage live samples effortlessly
  • Use modular, multi-pane workspaces for multitasking
  • Leverage AI-powered visual recognition technology
  • Support for multiple LLMs including OpenAI, Anthropic, Llama, Mistral, and Gemini
  • Deploy custom AI agents like Mnemodia, Iris, and Carlo
  • Utilize AI-managed compute instances for dynamic workloads
  • Advanced data search and indexing capabilities
  • Built-in code editor for development and testing
  • Enhanced chat interface with markdown and code formatting options

Use Cases

  • Conducting research and data archiving with AI agents
  • Streamlining workflows through custom AI automation
  • Generating visuals instantly with AI image tools
  • Coding with AI-assisted development environments
  • Managing cloud compute instances for web and data workflows

Best For

Project managersDevelopersData scientistsContent creatorsResearchersAI engineers

Pros

  • Integrates multiple AI tools and large language models
  • AI-managed compute resources for scalable infrastructure
  • Flexible, pay-as-you-go token pricing
  • Customizable workspaces tailored to specific tasks
  • Robust search and data indexing features

Cons

  • Additional storage charges beyond 25GB free tier
  • About Us page currently under construction
  • Charges for persistent compute instances or exceeding free limits

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Token-Based Pricing

Flexible pay-as-you-go system for LLM token usage, with costs varying by provider and model (e.g., OpenAI GPT 3.5: Input $0.00060, Output $0.01200 per 1,000 tokens).

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Storage Plans

Pay only for storage used beyond the free 25GB tier.

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Compute Instances

Choose from various compute configurations. Charges apply for persistent deployments or usage exceeding free tier limits.

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FAQs

How does token-based pricing work?
Your system tracks token usage during interactions with LLMs and deducts the corresponding credits in real-time. Costs depend on the specific model and provider used.
Do my credits expire?
No, credits purchased for Vitral do not have an expiration date.
Which LLMs are compatible with Vitral?
Vitral supports models from OpenAI, Anthropic, Llama, Mistral, and Gemini.
How much free storage do I get?
Users benefit from a free storage tier of 25GB.
Can I customize my workspace layout?
Yes, Vitral offers modular, multi-pane workspaces that can be tailored to your workflow needs.
Is real-time collaboration possible?
Absolutely, Vitral enables real-time collaboration with integrated chat, code editing, and sample sharing features.