AI startup Poetic raises $50 million at a $500 million valuation with participation from OpenAI
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AI startup Poetic has raised $50 million at a $500 million valuation, with OpenAI among the investors. Kleiner Perkins led the round, joined by Founders Fund, First Harmonic, and Genius Ventures. The company is developing automation tools for enterprises in fraud detection, insurance underwriting, and crypto compliance. Its system combines AI with deterministic code, achieving 99%+ accuracy. AIG, SoFi, and Chime are already using the platform. The funding follows growing demand for AI-powered crypto compliance solutions in financial services.
ME AI News, according to monitoring by Beating, AI startup Poetic has officially exited stealth mode and completed a $50 million funding round. This round was led by Kleiner Perkins, with participation from OpenAI, Peter Thiel’s Founders Fund, First Harmonic, and Genius Ventures. Poetic’s current valuation has reached $500 million. Unlike conventional agent systems, Poetic is designed to develop high-precision automation software for large enterprises to handle complex business processes such as fraud investigations, insurance underwriting, and financial compliance. The team combines the flexibility of artificial intelligence with the determinism of traditional code: when business environments remain unchanged, the system runs fixed deterministic code to ensure speed and cost-efficiency; when environments change, it leverages AI to dynamically adjust execution strategies to ensure task success. Official data shows the system achieves over 99% accuracy when executing complex tasks lasting several hours, while consuming only one-tenth the tokens of traditional agent systems. Over the past year, Poetic’s team of just four members achieved zero to eight-figure (over $10 million) annual recurring revenue (ARR). The system is already deployed at major financial and insurance institutions including AIG, SoFi, and Chime. In SoFi’s anti-fraud operations, the system achieved over 99% fraud investigation quality within five weeks of deployment. (Source: BlockBeats)
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