Venice AI
Uncensored, on-device-history AI chat now backed by a $1B valuation
Overview
Venice AI is a privacy-first chat, image, audio and video platform co-founded by Erik Voorhees, running open models with no server-side prompt logging — history stays on-device. It hit a $1B valuation via a $65M Series A in July 2026; minimal content filtering is its other differentiator.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 12 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- 10 text prompts/day
- 15 image prompts/day
- API access
- Unlimited text prompts
- 100 credits/mo
- Extended context windows
- 7,500 credits/mo
- 2-month credit rollover
- Higher image limits
- 22,500 credits/mo
- 3-month credit rollover
- Priority frontier model access
What you can produce with Venice AI
- On-device chat history, no server-side prompt logging
- Text, image, audio (TTS) and video generation
- OpenAI-compatible developer API
- Minimal content filtering ('uncensored') vs. mainstream chatbots
- Custom character creation
- Crypto/x402 micropayment option for pay-per-request inference
- Credit rollover on paid tiers (2-3 months)
ASEAN Perspective
Venice AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Venice's pitch is simple and, per independent testing, real: no server-side prompt logging, conversation history kept on-device, and network inspection by Reddit users confirmed prompt content doesn't appear in outbound traffic beyond the inference call itself. Layer minimal content filtering on top of open models (Llama, Mistral, Dolphin, plus frontier-class options on higher tiers) and you get a genuine middle ground between fully local setups like Ollama and mainstream providers that log everything.
The company just crossed unicorn status — a $65M Series A at a $1B valuation in July 2026 — a strong signal the privacy positioning has real demand behind it. Two caveats: "uncensored" means compliance-minded teams should stay away, and the pricing ladder ($18 to $200/month) gets expensive fast once you want frontier-tier models rather than open weights. Best for individuals who want privacy without running their own hardware.
What people say
Venice shows up repeatedly in r/privacy, r/LocalLLaMA and r/ChatGPT threads as the go-to recommendation for people who want an AI chat interface without server-side logging — one of the more consistent Reddit picks in this category. Users who ran network-inspection tools like Wireshark against the app reported that prompt content didn't appear in outbound traffic beyond the API call needed to run inference, about as close to independent verification of a "we don't log your prompts" claim as a consumer product gets without a formal third-party audit.
The bigger news in 2026 is the money behind it: Venice, founded by crypto veteran Erik Voorhees with Seattle-based Jesse Proudman, closed a $65 million Series A on July 1, 2026, pushing its valuation to $1 billion — reported by GeekWire, SiliconANGLE and CryptoBriefing among others. That's a serious bet on privacy-focused AI as a category, not just a niche tool for people avoiding OpenAI and Anthropic's data retention.
On content policy, reviewers and Reddit threads consistently flag "minimal filtering" as the other half of Venice's appeal alongside privacy — it will engage with topics and requests that mainstream chatbots decline. That's a feature for some use cases and a dealbreaker for others; there's no way to have one without the other given how the product is positioned.
Pricing sits on four tiers: Free (10 text prompts and 15 image prompts a day), Pro at $18/month (unlimited text, 100 monthly credits, extended context), Pro Plus at $68/month (7,500 credits, two-month credit rollover), and Max at $200/month (22,500 credits, three-month rollover, priority access to frontier-class models). The OpenAI-compatible API and a small ecosystem of unofficial open-source clients (Python, PHP and terminal wrappers on GitHub, none built by Venice itself) make it easy to wire into existing tooling. Model quality tracks whatever open weights are current — Llama, Mistral, Dolphin on lower tiers — so it won't out-reason a frontier closed model, but that was never really the pitch.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Venice AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Venice AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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