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Robinhood CEO's AI Math Startup Valued at Nearly $900 Million
Harmonic AI, an artificial intelligence startup co-founded by Robinhood Markets Inc. Chief Executive Officer Vlad Tenev, has raised $100 million in funding to tackle a problem that has sometimes confounded AI models: math. The Series B funding round was led by Kleiner Perkins, with participation
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Harmonic raises $100M at nearly $900M valuation to scale AI model for formal mathematical reasoning - SiliconANGLE
Harmonic raises $100M at nearly $900M valuation to scale AI model for formal mathematical reasoning Artificial intelligence for formal mathematical reasoning startup Harmonic AI Inc. announced today that it had raised $100 million in new funding on a nearly $900 million valuation to accelerate its
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The Founder of Robinhood Has a New AI Startup. It's Already Valued at $825 Million
Vlad Tenev already has one massively successful startup under his belt with Robinhood. The financial services company reported $927 million in revenue in the first quarter of this year, and its shares are up 154 percent year-to-date (and more than 350 percent in the past year). Now, Tenev has a new
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Harmonic AI, co-founded by Robinhood CEO Vlad Tenev, secures $100 million in Series B funding led by Kleiner Perkins, reaching a valuation of $875 million. The startup focuses on developing AI for mathematical reasoning.
Harmonic AI, an artificial intelligence startup co-founded by Robinhood Markets Inc. CEO Vlad Tenev, has successfully raised $100 million in a Series B funding round. The investment, led by Kleiner Perkins with participation from Sequoia Capital, Index Ventures, and Paradigm, values the company at an impressive $875 million
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Source: Bloomberg
Founded in 2023, Harmonic AI is developing a next-generation AI engine called Aristotle, which specializes in formal mathematical reasoning. The company's approach focuses on achieving mathematical superintelligence (MSI), aiming to create AI with reasoning capabilities that match or exceed human abilities
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.Aristotle utilizes the Lean 4 proof assistant to translate natural-language mathematical problems into formally verifiable proofs. The AI model has already achieved a state-of-the-art 90% success rate on standard benchmarks like MiniF2F, demonstrating its ability to solve math problems ranging from high school to International Mathematical Olympiad levels
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.Harmonic's methodology involves a unique approach to AI training. Instead of relying on web-scraped data, the system autonomously generates formal problem-proof pairs. This enables recursive self-improvement, allowing the AI model to train itself through a "self-play loop" and scale its capabilities from simple exercises to advanced theorems
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.While Vlad Tenev serves as the executive chairman in a non-operating role, Harmonic's CEO is Tudor Achim, who previously led autonomous driving startup Helm.ai
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. Tenev expressed enthusiasm about the project's potential, stating, "We're getting closer to AI that can truly reason - quickly, reliably and at scale"2
.The substantial funding and high valuation reflect strong investor confidence in Harmonic's potential. Ilya Fushman, partner at Kleiner Perkins and former physicist, will join Harmonic's board as an observer. Fushman commented, "Harmonic has created a new foundation for verified, scalable reasoning that can be trusted in high-stakes environments"
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Harmonic's focus on mathematical superintelligence could have far-reaching implications. By accelerating progress in mathematics, the company aims to drive breakthroughs across multiple dependent fields, including theoretical physics and engineering. This approach also addresses the problem of AI hallucinations, a common issue in current AI models
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Source: SiliconANGLE
The recent $100 million Series B round follows a $75 million Series A funding secured in September, demonstrating rapid financial growth and investor interest. This substantial backing positions Harmonic to accelerate its development and commercialization efforts for the Aristotle model
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.As AI continues to evolve, Harmonic's unique approach to mathematical reasoning and problem-solving could potentially reshape the landscape of artificial intelligence, opening new possibilities for scientific discovery and technological advancement.
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