Chicago based RegTech company Greenshoe has raised $3 million in seed funding to scale its AI-driven platform for U.S. Securities and Exchange Commission (SEC) disclosures—an area long burdened by fragmented workflows, manual drafting, and costly review cycles. The investment round, led by AIX Ventures with participation from Hearst Level Up Ventures, Blueprint FTC, Service Provider Capital and others, supports Greenshoe’s broader ambition to modernise how public companies prepare regulated filings.
Preparing core disclosures such as 10-Qs and 10-Ks remains one of the most labour-intensive processes in corporate finance. By some estimates it can take “about 180 hours just to prepare a 10-Q,” with overall costs ranging “from roughly $50,000 for smaller companies to well over $1 million for large-cap enterprises.” Greenshoe positions its platform as an AI-native alternative, drawing on regulatory precedent, market norms, and live company data to improve speed, accuracy, and consistency.
Payton McCoy, Greenshoe’s CEO and co-founder, highlights the inertia that continues to shape corporate reporting workflows. “SEC filings are the foundation of market transparency, but the workflows powering them are stuck in a pre-AI world,” he noted. His experience as a practising lawyer underscores the need for change. “As a lawyer, I spent hundreds of hours manually preparing SEC disclosures, including 10-Ks, 8-Ks, and IPO filings. That said, Greenshoe is about more than just saving time. It’s about improving disclosure quality and making this work easier to do. We’re laying the rails for a smarter, faster capital markets ecosystem.”
Rather than acting as a simple drafting assistant, the platform is designed to manage the specialised tasks that make SEC reporting so resource-intensive. These include:
- Real-time compliance checks and validations
- Draft generation informed by regulatory precedent and market comparables
- Analysis of SEC comment letters and support for response drafting
- Peer-based benchmarking and research
CTO and co-founder Dr. Yi Zhang described the system’s adaptive architecture: “We’re building the infrastructure layer for AI-native disclosure intelligence. Our deep-research agent fuses reasoning, evaluation, reflection, and human feedback into a continuous improvement loop. Every interaction sharpens the system, compounding domain expertise into an advantage that makes the platform more intelligent.”
This continuous-learning approach underpins Greenshoe’s focus on complex document processing. Its architecture combines agentic retrieval-augmented generation (RAG), structured reasoning around SEC requirements, and benchmarking against peer disclosures. The result is a system that not only drafts content but interprets disclosure trends, assesses context, and aligns filings with evolving regulatory expectations.
Investors say this blend of regulatory expertise and technical depth sets the company apart. As AIX Ventures partner Jason McBride put it: “SEC disclosures are among the most important and complex documents in corporate finance, and Greenshoe is the first team we’ve seen that truly understands both the regulatory nuance and the AI infrastructure required to modernize them. We invested because Greenshoe isn’t just building a tool. They’re defining an entirely new layer in the regulatory tech stack.”
Greenshoe is targeting the approximately 4,700 U.S. public companies that must repeatedly navigate SEC disclosure cycles, internal approvals, and market comparables. Early adopters include legal teams and capital markets practitioners, with reported time savings of up to 90% on some tasks.
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