The Model ML acquisition of Captide marks a significant step for the fintech ecosystem as financial institutions demand AI systems that can retrieve and cite corporate disclosures with precision and compliance.
Model ML announced it has acquired Captide, a financial data platform that transforms complex global corporate filings and disclosures into large language model ready documents and structured data for AI agents. The deal follows closely on the heels of Model ML’s recent $75 million funding round backed by leading US and UK investors, and further expands the company’s AI workflow builder capabilities.
Through the Model ML acquisition of Captide, the company’s AI agents will be able to retrieve, analyze, reason over, and cite global filings with greater reliability. Earlier this year, Model ML acquired Flippr, adding automated PowerPoint generation and verification agents to its platform. The addition of Captide deepens the firm’s end to end AI infrastructure for financial services.
Founded in 2024 by Maurits Brinkman and Miquel Trafí Ruiz, Captide developed an API that ingests SEC filings, earnings call transcripts, and other disclosures, structuring them so AI models can interpret them accurately at scale. The platform spans more than 2.5 million documents and supports one billion embeddings, creating a robust data layer for financial AI applications.
By integrating Captide’s disclosure intelligence into its platform, Model ML enables clients including Big 4 accounting firms, consulting firms, and global financial institutions to access structured corporate data through existing workflows and proprietary tools. The company says its AI agents can now securely retrieve and cite corporate disclosure data while supporting regulatory and compliance standards that are critical in financial services.
“We built Captide to make corporate disclosures usable across the entire AI pipeline,” said Miquel Trafí Ruiz, Co-founder of Captide. “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.”
“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,” said Chaz Englander, Co-founder and CEO of Model ML. “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.”
Since emerging from stealth in February, London founded Model ML has expanded rapidly, raising one of Europe’s largest $75 million Series A rounds in November following a $12 million Seed six months earlier. The company reports that its AI agents have outperformed McKinsey and Bain in benchmarking tests and now operates across the UK, US, Singapore, and Hong Kong.
As financial institutions seek AI systems that are auditable, secure, and grounded in verifiable source material, the Model ML acquisition of Captide strengthens its vision of delivering an integrated AI operating system for finance, built on trusted corporate disclosure data.
Financial Technology Insights:
- Warwick Acquires $670 Million Oil and Gas Royalty Assets Portfolio
- ManageMy Raises $45 Million to Expand AI Insurance Platform Globally
- FinLink and Rafa.ai Launch AI-Native Fintech Marketplace
To share your insights with the FinTech Newsroom, please write to us at info@intentamplify.com