Model ML, an AI workflow builder for financial services, has acquired Captide, a financial data platform that transforms complex global corporate filings and disclosures into LLM-ready documents for AI agents.
The deal comes just weeks after Model ML raised $75 million in funding in one of the largest fintech Series A rounds in history. The acquisition strengthens the company’s AI workflow builder by enabling its agents to reliably retrieve, analyze, and cite global corporate filings. Earlier in 2025, Model ML acquired Flippr, adding automated PowerPoint generation and verification agents to its platform.
Founded in 2024 by Maurits Brinkman and Miquel Trafí Ruiz, Captide developed an API that structures SEC filings, earnings calls, and other corporate disclosures to enable AI models to interpret them accurately at scale. The platform currently spans more than 2.5 million documents and supports 1 billion embeddings.
By integrating Captide, Model ML is expanding clients’ access to disclosure intelligence, including Big 4 accounting firms, consulting companies, and global financial institutions. The combined platform enables AI agents to retrieve, analyze, and cite corporate disclosure data directly from source materials while providing secure access that meets strict regulatory and compliance requirements.
The acquisition reinforces Model ML’s API-first approach and builds on strong momentum for the London-born firm. Since emerging from stealth in February, founders and brothers Chaz and Arnie Englander have positioned the company as one of the fastest-growing AI companies in finance. In November, Model ML raised $75 million in a Series A round six months after securing $12 million in seed funding. The company says its AI agents have outperformed McKinsey and Bain in benchmarking tests and now operate across the UK, US, Singapore, and Hong Kong.
Financial terms of the acquisition were not disclosed.
KEY QUOTES
“We built Captide to make corporate disclosures usable across the entire AI pipeline. By joining Model ML we’re now bringing that capability into the workflows of the world’s largest financial institutions, where accuracy and traceability are non-negotiables.”
Miquel Trafí Ruiz, Co-founder of Captide
“As agentic AI systems move into real financial workflows, the bottleneck isn’t the models any more, it’s the data they’re built on. Even the most advanced models fail when they can’t reliably retrieve, interpret, and cite the underlying source material but corporate disclosures are fragmented, inconsistently formatted and hard for machines to use safely. Captide fixes that, and bringing it into Model ML gives our clients a way to deploy AI that works directly from source data, with outputs they can trust.”
Chaz Englander, Co-founder and CEO of Model ML
