The Math-Focused AI Startup Backed by Robinhood’s CEO Hits $1.45B Valuation
Harmonic, an artificial intelligence startup co-founded by Robinhood CEO Vlad TenevDealroom has a profile for this one. Try Dealroom →, has quickly become one of the most closely watched companies in the race to make AI more reliable. This week, the company secured a new $120 million Series C round , lifting its valuation to $1.45 billion and marking its third major fundraising in just over a year. The round was led by Ribbit Capital , with continued support from Sequoia Capital and Kleiner Perkins , and a new investment from Emerson Collective , the firm founded by Laurene Powell Jobs.
Founded in 2023, Harmonic is taking a different approach from mainstream generative AI labs. Rather than trying to make models sound more human, the company focuses on making them mathematically trustworthy . Its core technology — which it calls Mathematical Superintelligence — requires AI models to express their reasoning as lines of computer code that can be automatically checked for correctness. This design aims to eliminate the “hallucinations” that often undermine confidence in AI systems, especially in sensitive fields.
Harmonic’s flagship model, Aristotle , recently performed at international-competition level at the International Mathematical Olympiad, standing alongside models from Google and OpenAI. The performance helped attract investor attention and validate Harmonic’s belief that verifiable logic, not just natural-language fluency, will be essential for deploying AI in areas where errors carry real-world consequences — from aerospace and automotive systems to financial applications.
For now, Harmonic offers Aristotle through a free public API , which has already been adopted by researchers and mathematicians exploring advanced proofs and reasoning tasks. The company remains pre-revenue, but the new capital will be spent on the massive computing resources required to train increasingly sophisticated reasoning models. Commercial applications, CEO Tudor AchimDealroom has a profile for this one. Try Dealroom → says, will come later — once the technology is ready for the kinds of environments where safety and reliability matter most.
Sources:
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