Artificial intelligence continues to shape industries, and financial services are no exception. Model ML, an AI fintech platform, has officially launched after operating in stealth mode, securing $12 million in funding. The company, founded by brothers Chaz and Arnie Englander, aims to refine how professionals utilize data for decision-making. With a background in startups such as Fat Llama and Fancy, the founders bring experience in business innovation. The funding round was led by YC and LocalGlobe, with participation from investors in banking and private equity.
Model ML’s approach follows a pattern seen in previous AI-driven financial innovations, where companies have attempted to automate workflows and reduce time-consuming tasks. Unlike traditional tools that struggle with fragmented systems, Model ML claims to offer a more integrated solution. The company asserts that its platform builds custom AI models tailored for each client, aiming to enhance efficiency in financial services and consulting.
What makes Model ML’s platform different?
The company states that its AI system is designed to integrate seamlessly into existing workflows, processing only data from approved sources. This method intends to reduce manual data gathering, which is often required for emails, financial models, and presentations. By using a voice-first interface, professionals can generate reports, spreadsheets, and dashboards without extensive manual effort.
How has Model ML been received by early users?
Before its public launch, Model ML reportedly worked with over 20 clients, including major financial institutions. The company claims that early adopters have reported increased efficiency, with some even revising their business strategies based on insights from the platform. Model ML emphasizes that its technology is designed to meet the security and compliance needs of large organizations.
Chaz Englander, co-founder and CEO of Model ML, explained the motivation behind the platform:
“Traditional software requires manual data gathering for emails, financial models, and presentations—but that’s changing. Model ML has rebuilt these applications from the ground up on top of advanced AI agentic systems, eliminating the need for manual data collection.”
The investment will be used to expand Model ML’s product offerings and grow its customer base. The company operates from New York, with offices in Hong Kong and London, where its engineering team is based. As AI adoption grows in financial services, new players like Model ML aim to address existing inefficiencies and improve decision-making processes.
AI-driven automation in financial services has been explored in various forms, but challenges remain, particularly in balancing automation with human oversight. While companies such as OpenAI, Palantir, and Bloomberg have also developed AI-driven tools for finance, widespread adoption depends on factors like regulatory compliance, accuracy, and user trust. Model ML’s focus on integrating its technology with existing systems seeks to address these concerns, though its long-term impact remains to be seen.
