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Poetic secures $50M from investors at $500M valuation, led by Kleiner Perkins

Sunday, June 14, 2026 | 6:00 AM (GMT-04.00) Last Updated 2026-06-14T10:00:00Z
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The Rise of Poetic: A New Era in Enterprise AI Automation

Artificial intelligence startup Poetic has made waves in the tech industry by securing $50 million in a Series A funding round led by Kleiner Perkins. This investment values the company at $500 million, marking a significant milestone as Poetic expands its enterprise automation platform designed for complex and high-stakes workflows.

Founders Fund, First Harmonic, and OpenAI also joined the financing, according to the San Francisco-based company's press release. Poetic is positioning itself as a leader in the AI space by offering enterprises more control over their AI systems than current autonomous "agents" can provide. Instead of allowing AI to make independent decisions, the company uses a proprietary programming language that translates natural-language instructions into deterministic execution, aiming to improve reliability and reduce costs.

A Vision for Reliable AI

“Right now in AI, there’s too much attention on quick demos and shiny objects, and not enough on outcomes,” said Markie Wagner, Poetic’s founder and CEO. “We built a new kind of software that learns like AI but runs like code, so the hardest work in your business finally gets done reliably.”

Poetic's technology is specifically designed for repetitive, multi-hour processes that run thousands of times each day. These tasks require near-perfect accuracy and often rely on operational knowledge that is frequently undocumented. By encoding this expertise into deterministic workflows, the company minimizes token usage and avoids the challenges associated with autonomous agents.

Real-World Impact

The platform is already being used by large financial services companies, generating tens of millions of dollars in savings for Fortune 500 customers through automation. Tasks such as transaction monitoring and dispute investigations have been streamlined, with notable success stories from companies like SoFi Technologies, Chime, and American International Group (AIG).

At SoFi, Poetic achieved 99% quality in end-to-end fraud investigations within five weeks, enabling customers to regain account access immediately rather than waiting days. At AIG, it reported 99% accuracy on a previously labor-intensive operational process.

“In just weeks, Poetic was able to execute many of our fraud processes end-to-end while improving quality metrics and the member experience,” said SoFi Chief Executive Anthony Noto. “As we’ve scaled across the business, we’ve seen 100% process adherence, even in our most complex compliance investigations.”

Investor Confidence

Leigh Marie Braswell, a partner at Kleiner Perkins who led the investment, highlighted Poetic’s unique ability to automate complicated enterprise processes with accuracy that can exceed human performance.

“What Poetic has built is genuinely different,” Braswell said. “The fact that they were able to automate at the largest companies with the highest requirements is a reflection of how deeply the product works.”

Founding and Future Plans

Founded in 2023 by former Google and Waymo machine-learning engineer Markie Wagner, who previously ran AI consultancy Delphi Labs, Poetic plans to use the new capital to expand its forward-deployed teams, enter additional industries with complex operational requirements, and broaden adoption among large enterprises.

“The enterprise AI landscape is littered with pilots that never made it to production,” Wagner said. “We’ve had a 100% pilot-to-production conversion rate. We’re not here to run pilots. We’re here to transform businesses.”

Conclusion

Poetic’s innovative approach to AI automation is setting a new standard in the enterprise sector. With strong investor backing and real-world success, the company is poised to lead the next wave of AI-driven business transformation. As it continues to expand, Poetic’s focus on reliability, accuracy, and deterministic execution offers a compelling alternative to traditional autonomous AI systems.

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