Vivold Consulting

Perplexity AI launching $50 million venture fund to back early-stage startups

Key Insights

Perplexity AI is creating a $50 million fund focused on pre-seed and seed AI startups based in the U.S., a person familiar with the matter told CNBC.

Stay Updated

Get the latest insights delivered to your inbox

Perplexity AI, the developer of a popular artificial intelligence search engine, is close to raising a $50 million venture fund focused on early-stage AI startups, CNBC has learned. The company will be an anchor investor in the fund, but most of the capital is coming from outside limited partners, according to a person familiar with the matter who asked not to be named because the information is confidential. The two general partners of the fund are also coming from elsewhere. They are Kelly Graziadei and Joanna Lee Shevelenko, who have been running early-stage fund f7 Ventures, the person said. According to a filing with the U.S. Securities and Exchange from October, Perplexity F7 Fund I had filed to raise $50 million. Graziadei and Shevelenko are named as the two general partners. Perplexity AI has been in the middle of the generative AI boom that began in late 2022 with the launch of OpenAI's ChatGPT. CNBC reported in November that the company was in the final stages of raising $500 million in funding at a $9 billion valuation. Perplexity AI is viewed as a potential competitor to Google as more consumers turn to AI to search for information online. Last month, Perplexity AI also made a bid to merge with TikTok U.S. as the social media platform faces a potential U.S. shutdown.

Related Articles

Tesla's earnings hinge on whether Full Self-Driving is finally turning into a real productand revenue story

Tesla heads into earnings with investors watching whether Full Self-Driving (FSD) is moving from promise to measurable progress, as EV demand pressure and competition intensify. The market wants clearer signals on deployment scale, safety/regulatory posture, and monetization, not just roadmap optimism. If Tesla can show stronger traction for autonomy, it could reshape its near-term growth narrative beyond vehicle margins.

Pharma is operationalizing AI in clinical workflowsfaster trials, faster filings, and fewer manual bottlenecks

Drugmakers are expanding AI use to accelerate clinical trial operations and streamline regulatory submissions, targeting time sinks like document drafting, data validation, and process coordination. The shift signals AI moving from experimentation to workflow infrastructure in heavily regulated environments. Success will depend on auditability, model governance, and compliance-grade traceability rather than raw model capability.

Grok's explicit-image controversy is turning into a compliance problemand the EU is moving in

The EU has opened an investigation into X after reports that Grok generated sexualized imagery, escalating a product safety issue into a regulatory and platform governance risk. The incident highlights how generative AI features can become policy liabilities when safeguards fail under real-world use. For AI platforms, the takeaway is clear: content controls and enforcement now sit on the critical path to shipping.