Launched in 2024
Pricing
Free trial
Free version

Venice AI is an AI platform built around privacy and unfiltered access to large language models and image generation models. Unlike many AI services, Venice does not store user conversations, does not use prompts or outputs to train models, and does not build user profiles. The platform runs inference on private servers, meaning user data is not exposed to third-party model providers. Venice supports text generation, image generation, and code assistance through a web interface and API. It offers access to a range of open-source models including LLaMA-based models and Stable Diffusion variants. The platform positions itself as an alternative to mainstream AI assistants for users who prioritize data privacy, freedom from content restrictions, and control over their AI interactions. It is available via a browser-based interface with a free tier and a paid Pro subscription, as well as API access for developers.

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Target audience and deployment

  • Solo / Freelancer
  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • API

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Pricing

Pricing details:
Free trial
Free version
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Key features

Private inference with no data retentionText generation via open-source LLMsImage generation via Stable Diffusion modelsCode generation and assistanceUncensored model outputsNo user profiling or training on user dataAPI access for developersMultiple open-source model selectionWeb-based chat interfaceEnd-to-end privacy architecture

Use cases

  • Generate images privately without data retention
  • Chat with large language models without logging
  • Write and debug code with AI assistance
  • Access uncensored AI model outputs
  • Integrate private AI inference via API

Best for

  • Privacy-conscious individuals who need AI assistance without data collection or profiling
  • Developers who need to integrate private AI inference into applications via API
  • Researchers and writers who need uncensored AI model outputs for creative or analytical work
  • Businesses who need AI tooling without exposing sensitive data to third-party providers

Integrations

AI models included

LLaMA, Stable Diffusion