AI startup Poetic has emerged from stealth with $50m in funding and a $500m valuation, positioning itself as a new player in insurance underwriting, compliance, and fraud automation.
The funding round includes backing from OpenAI, Founders Fund, and Kleiner Perkins, underscoring growing investor appetite for AI infrastructure designed to automate high-value, heavily regulated financial workflows.
Founded by former Google and Waymo machine-learning engineer Markie Wagner, Poetic is targeting some of finance’s most complex operational processes, including insurance underwriting, compliance investigations, and fraud detection.
The company’s technology ingests internal business procedures, training materials, and expert feedback to automate end-to-end workflows. Poetic claims its system can also adapt autonomously when underlying software changes, reducing the need for manual reconfiguration.
At the centre of the platform is a proprietary programming language designed to direct AI workflows at scale, helping enterprises automate operational tasks traditionally handled by human teams.
While Poetic has disclosed limited technical detail about how the system functions, the company said its platform is already being used by major financial institutions, including AIG, SoFi, and Chime.
In insurance, AIG is among the company’s early adopters. Poetic said its technology achieved more than 99% accuracy in a complex underwriting-related process that previously required significant manual effort, although specific use cases were not disclosed.
The startup also claims to have delivered more than 99% quality in end-to-end fraud investigations at SoFi within five weeks, alongside full compliance adherence in regulatory investigations. In another unnamed Fortune 500 financial institution, Poetic said its fraud automation capabilities generated annual savings of approximately $200m.
However, the company’s emergence comes amid growing scrutiny around AI performance claims in regulated industries, particularly insurance and financial services, where explainability, governance, and auditability remain critical.
Questions around how AI systems perform under regulatory review, edge cases, and high-stakes decision-making are increasingly shaping insurer adoption strategies, as carriers move cautiously from pilot programmes towards production deployment.
Poetic said customer data remains within client environments with zero retention and highlighted compliance standards including SOC 2 Type II, PCI, HIPAA, and GDPR.
Leigh Marie Braswell said: “What Poetic has built is genuinely different,” adding that the platform executes complex processes “with accuracy that exceeds what human teams can deliver.”
The funding also highlights OpenAI’s growing role in shaping the enterprise AI ecosystem. Beyond model development, the company has increasingly invested in startups building sector-specific applications on top of its technology stack, particularly in areas such as financial services, compliance, and operational automation.
For insurers, Poetic’s launch signals intensifying competition in AI-powered underwriting and workflow automation, a market increasingly crowded with insurtechs and enterprise software providers promising faster decisions, lower costs, and improved operational efficiency.
The key challenge, however, remains proving that automation claims can withstand regulatory scrutiny, audit requirements, and the complexity of real-world underwriting environments.
