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Model ML
Model ML is a firm founded in 2023 in San Francisco, California. It serves investment banks, private equity funds, asset managers, and consultancies.
Model ML
Model ML is a firm founded in 2023 in San Francisco, California. It serves investment banks, private equity funds, asset managers, and consultancies. Model ML offers a platform for analysis and workflows across various data sources, applications, and information.
General information
Firm type
other
Location
Region
North America
Country
United States
City
New York
Corporate office
West 38th St, New York, NY, United States
Additional offices
San Francisco, CA, United States · London, United Kingdom · Hong Kong
Principals
Chaz Englander
Co-Founder
Arnie Englander
Co-Founder
Sector focus
Frequently asked questions
Who founded Model ML, and what is their track record?
Model ML was founded by brothers Chaz and Arnie Englander. They are the only founding team to have been accepted into Y Combinator three times, an unusual signal of repeat-founder trust among early-stage investors. Prior ventures have not been named publicly, but the three-time YC backing gives the current entity a pre-existing relationship with a dense network of technology founders and allocators.
How does Model ML integrate with existing financial-services workflows?
The product is designed to live natively inside Microsoft Excel, PowerPoint, and Outlook, as well as a standalone Model ML App and a client’s proprietary systems. The architecture pulls in a firm’s internal and external data sources so that outputs — diligence memos, pitchbook pages, deal-sourcing grids — are generated in the same format the institution already uses, without requiring users to leave their primary tools.
What financial-services verticals does Model ML serve?
The company publicly lists investment banking, consulting, private equity and credit, and asset management as its customer verticals. Product modules — Workflows, Grids, Chat, Document Review, and Notetaker — are positioned to support tasks that run across all four, though the go-to-market emphasis skews toward the repetitive documentation and analysis work common in advisory and deal-execution roles.
What is the significance of Model ML's advisory board?
The advisory board is a roster of former global financial-institution CEOs and senior leaders, including Sir Noel Quinn (HSBC), Axel Weber (UBS), Mark Machin (CPP Investments), Philipp Rickenbacher (Julius Baer), and Jeff McDermott (UBS/Nomura). This group provides both product-requirements credibility for an AI tool sold into regulated banks and a direct relationship map into the C-suites of target customers — functioning as an embedded distribution channel.
How much capital has Model ML raised, and from whom?
Model ML has raised north of $100 million in total investment. Confirmed backers include Y Combinator, though the firm does not disclose a full cap-table roster. The $100-million figure and the YC relationship are stated directly on the company’s own About page, positioning it as a well-capitalized entrant into institutional financial-technology.
Where does Model ML operate geographically?
The firm lists four office locations: West 38th Street in New York, Market Street in San Francisco, King’s Cross in London, and Stanley Street Central in Hong Kong. This footprint gives it physical proximity to both North American and European banking hubs and to Asia-Pacific wealth and asset-management centers.
How does Model ML handle data security and privacy?
The firm markets an institution-grade security environment built for the strictest data-privacy rules, stating that customer data stays the customer’s and is handled securely across every connected system. It does not publish a technically detailed security whitepaper publicly, but its sales positioning is aimed at regulated financial institutions that impose high bars on data residency and auditability.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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