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CZ’s YZi Labs Leads $11M Spherical in AI Schooling Startup VideoTutor in First AI Funding

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YZi Labs has made its first transfer into AI software program, main an $11 million seed spherical in VideoTutor, an AI-powered training platform based by 20-year-old Silicon Valley entrepreneur Kai Zhao.

Key Takeaways:

  • YZi Labs led an $11 million seed spherical in VideoTutor, marking its first AI software program funding.
  • VideoTutor, based by 20-year-old Kai Zhao, transforms any query into a customized, animated lesson.
  • The funding will increase R&D and international enlargement, as VideoTutor scales its AI-driven training engine.

The spherical included participation from JinQiu Fund (affiliated with ByteDance), Baidu Ventures, Amino Capital, and BridgeOne Capital.

The funding marks YZi Labs’ first AI wager since broadening its focus earlier this 12 months, the agency introduced in a current publish on X.

AI Tutor VideoTutor Turns Questions Into Animated Classes, Hits 20K Customers in 10 Days

VideoTutor positions itself as an “AI Schooling Agent” that converts any query into a customized, animated, and voice-guided lesson.

The platform combines a big language mannequin (LLM) with a Manim-based rendering pipeline, enabling exact visualization of advanced subjects corresponding to equations, diagrams, and scientific ideas.

Inside 10 days of its Could 2025 launch, the platform reached over 20,000 customers and generated greater than 20,000 movies, whereas receiving 1,000 API integration requests from colleges and studying platforms.

Dr. Jing Xiong, AI Funding Director at YZi Labs and former Google Gemini engineer, stated VideoTutor’s hybrid AI mannequin outperforms diffusion-based video instruments by guaranteeing “semantic precision and visible readability” at decrease prices.

The corporate’s proprietary Structure Supervisor and fault-tolerant LLM loop allow quicker and extra correct video technology in comparison with rivals.

https://t.co/sxEk3EEqjo

— YZi Labs (@yzilabs) October 30, 2025

VideoTutor goals to make high-quality tutoring accessible to all, addressing the truth that over 85% of US college students can’t afford conventional tutoring, which averages $60–$90 per hour.

Its attain at the moment spans Ok–12, SAT/ACT prep, STEM, and language learners.

The seed funding will gas R&D and international enlargement, with plans to boost its AI animation engine, scale infrastructure, and associate with instructional establishments throughout North America and Europe.

“We obtained over ten time period sheets for this spherical, however selected YZi Labs as our lead investor as a result of we share the identical perception: training must be personalised, inexpensive, and accessible to all” Zhao stated.

YZi Labs Leads $50M Wager on Higher Cost Community

YZi Labs, the enterprise arm previously generally known as Binance Labs, has led a $50 million seed spherical for Higher Cost Community (BPN), a startup constructing stablecoin-based fee rails to streamline international settlements.

The funding, one of many largest early-stage rounds in funds this 12 months, comes amid YZi Labs’ rising give attention to CeDeFi infrastructure for rising markets.

BPN’s system, constructed on BNB Chain, merges DeFi automation with conventional compliance to allow real-time minting and settlement of fiat-backed stablecoins.

The platform goals to slash cross-border switch occasions from days to hours whereas reducing transaction prices from 2% to 0.3%. Its mannequin removes the necessity for pre-funded liquidity, releasing trapped capital and enhancing effectivity throughout markets.

The startup already helps transfers between areas like Brazil, Nigeria, Mexico, and the Eurozone, with plans to launch a DeFi FX market by year-end to assist as much as 20 regional stablecoins.

YZi Labs known as BPN a “game-changer” for funds, saying its onchain liquidity community may outperform each legacy fintechs and fragmented Web3 fee methods.

The publish CZ’s YZi Labs Leads $11M Spherical in AI Schooling Startup VideoTutor in First AI Funding appeared first on Cryptonews.

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