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Tuesday, November 25, 2025

Model ML Raises $75M to Automate Finance’s Grunt Work

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Model ML, founded by brothers Chaz and Arnie Englander, lands $75M to expand its AI platform that automates financial workflows for banks, asset managers, and consultancies.

Model ML, an artificial intelligence automation platform co-founded by two brothers, has closed a $75 million Series A funding round to accelerate its global expansion and deepen its technological capabilities within the financial services industry.

The funding round for the London and New York-based company was led by FT Partners, a key investment bank in the FinTech sector, with significant participation from prominent venture capital firms including Y Combinator, QED, 13Books, Latitude, and LocalGlobe.

The substantial Series A comes just six months after Model ML’s seed raise, underscoring intense investor appetite for enterprise AI solutions.

Also Read: How Explainable AI Builds Trust in Data Decisions

Targeting ‘The Hard Way’ of Financial Analysis

Founded by brothers and serial entrepreneurs Chaz and Arnie Englander, Model ML specializes in building bespoke AI agentic systems designed to automate and streamline repetitive, data-intensive tasks across financial firms.

The platform integrates directly into existing workflows, allowing financial teams to build complex AI processes that compile critical, high-stakes documents, including pitch decks, due diligence reports, and investment memos. The system only draws data from a client’s pre-approved, trusted internal sources, enhancing security and compliance.

The co-founders describe their platform as creating a “bespoke AI brain” for each organization, custom-built to eliminate the arduous “grunt work” currently handled by human analysts.

“High-stakes business runs on documents,” said Chaz Englander. “Analysts spend entire weekends cross-checking numbers and formatting slides. Despite all that effort, mistakes still slip through because no one can realistically verify every data point in a 100-page deliverable.”

He further explained that Model ML’s agents reason across diverse data sources, write the necessary code for data extraction and transformation, and generate finished, branded outputs complete with built-in verification. This allows teams to shift their focus from mechanical tasks to high-value analysis and strategic decision-making.

Also Read: Edition 3: Tech Leaders Turning Complexity into Clarity

Driving Global Expansion

Model ML currently serves several of the world’s largest banks, asset managers, and consulting firms, including two of the “Big Four” accounting firms. The new capital will be strategically deployed to propel the startup’s global expansion efforts and enhance its AI capabilities across key international financial hubs.

The investment reflects a growing industry trend in which specialized AI platforms are viewed as essential tools for driving efficiency and reducing the margin of error in the highly regulated and complex world of high finance.

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