
Poetic, building AI that runs like code, raised $50M Series A at $500M valuation. Kleiner Perkins led; Founders Fund, First Harmonic, and OpenAI also invested.
Poetic, a startup building software that learns like AI but runs like deterministic code, has raised a $50 million Series A at a $500 million valuation. Kleiner Perkins led the round. Founders Fund, First Harmonic, and OpenAI also participated, the company said.
The San Francisco-based company targets large enterprises with complex, hard-to-automate processes. Its software uses AI intelligence combined with the precision of traditional code, aiming to deliver reliability and accuracy at scale. The approach tries to solve a tension that has dogged enterprise AI adoption: the flexibility of machine learning often comes with unpredictability, while rigid code can't handle edge cases. Poetic claims to bridge that gap.
The round's size and valuation are notable for a Series A. A $500 million post-money valuation implies strong conviction from backers, especially given the participation of OpenAI. OpenAI's investment suggests the AI leader sees value in a platform that makes AI outputs more deterministic for business workflows. It also signals that the venture market for AI infrastructure remains active, even as some segments of tech funding have cooled.
Kleiner Perkins, a longtime venture firm with a history in enterprise software, led the deal. Founders Fund and First Harmonic, both known for backing early-stage technology bets, joined. The inclusion of OpenAI adds a strategic layer: the startup could become a distribution channel for OpenAI's models inside large corporations, or a complement to its own enterprise offerings.
The deal follows other AI infrastructure investments this year. Earlytrade, for example, raised $25 million for its own AI buildout and U.S. expansion. The pattern points to sustained venture appetite for companies that make AI practical for regulated, process-heavy industries.
Poetic did not disclose how it plans to use the proceeds beyond scaling its engineering and go-to-market teams. The company is based in San Francisco and was founded in 2023.
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