Venice.ai raised $65 million in a Series A funding round led by Dragonfly, valuing the company at $1 billion. The company has been profitable since its 2024 launch, with more than 3.5 million users and an annualized revenue run rate above $70 million.

Michael and Frank break down what makes Venice.ai different: it is designed so that it never possesses user data in the first place. Prompts are not logged. Conversations are stored locally on the user’s device, not on Venice’s servers. When routing to proprietary models, Venice inserts a proxy that obscures the user’s IP, account information, and session data.

They deliver a three-part framework for evaluating privacy-first AI: classify your data by sensitivity and regulatory exposure before choosing a platform, verify privacy claims through documentation and audits rather than marketing slogans, and compare total cost because privacy layers may carry a premium that only makes sense for regulated industries.

Topics: Venice.ai · Privacy-First AI · AI Privacy · Data Protection · Unicorn · Dragonfly · Erik Voorhees · AI Security · Small Business Compliance · AI Aggregation · Privacy Architecture

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Frequently Asked Questions

What is Venice.ai?
Venice.ai is a privacy-first AI aggregation platform founded in 2024 by Erik Voorhees. It offers access to 200+ AI models through a single interface and API, with a privacy architecture that never logs prompts, stores conversations locally on the user’s device, and proxies all requests to proprietary models to obscure identifying information.

Why did Venice.ai raise $65 million at a $1 billion valuation?
The valuation reflects investor belief that privacy is becoming a primary buying criterion for AI users. Venice is already profitable with a $70M+ annual revenue run rate and 3.5 million users. The funding will be used to buy GPUs, build data centers, and reduce reliance on leased compute.

Should small businesses use privacy-first AI platforms?
It depends on your data sensitivity. Businesses handling client financial records, medical data, or legally privileged information should prioritize platforms with strong privacy architecture. Businesses using AI for general marketing or non-sensitive tasks may not need the premium privacy layer. The key is matching the tool to the risk level.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.

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