Company lists · Data refreshed September 2026
Top 20 Machine learning loan origination companies based in San Francisco, United States
RevenueBase identified 41 machine learning loan origination companies headquartered in San Francisco, United States as of September 2026 and tracks 906 professional contacts across them, including 222 with verified work emails and 324 with mobile numbers. New York is the largest hub.
This list covers machine learning loan origination companies headquartered in San Francisco, United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 13, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 20 largest machine learning loan origination companies based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 69 contacts → | ||||
Indirect evidence “Migo is an embedded lending platform that enables companies to extend credit to consumers and small businesses in their own apps.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 2 | 60 contacts → | ||||
Indirect evidence “Two Dots builds AI underwriting technology that automates and solves problems traditional systems can't.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 3 | 47 contacts → | ||||
Partial evidence “Informed helps financial institutions fund more loans faster while reducing risk and fraud.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 4 | 43 contacts → | ||||
Partial evidence “FDIC-insured banks and fintechs use Casca to process business loan applications with 90% less manual effort and 300% higher conversion rates.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 5 | 43 contacts → | ||||
Indirect evidence “Salient enables US consumer lenders to increase recovery, resolve disputes and losses faster, reduce manual servicing workload, and strengthen exam readiness, all through AI…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 6 | 43 contacts → | ||||
Indirect evidence “With our award-winning, AI-powered tools under the hood, lenders, credit unions, and employers have empowered >3 million people to get homebuyer-ready, pay down debt, and save for…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 7 | 28 contacts → | ||||
Strong evidence “TomoCredit, based in San Francisco, uses AI and machine learning for credit underwriting and loan decisioning.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 8 | 23 contacts → | ||||
Indirect evidence “At Alltius, we help insurance and banking enterprises unlock the real value of AI-by turning complex workflows into compliance-ready, outcome-driven automations.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 9 | 21 contacts → | ||||
Indirect evidence “Formed in 2015, Plum Lending is revolutionizing commercial real estate lending, combining the world of data science with traditional lending.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 10 | 14 contacts → | ||||
Indirect evidence “MonJa: Helping Customers Automate Manual Workflows.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 11 | 13 contacts → | ||||
Strong evidence “LoanFlow is the world’s first smart loan technology that uses AI and machine learning to analyze a person’s entire financial picture, and shows them how to benefit with a smart…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 12 | 10 contacts → | ||||
Partial evidence “AI-loan protocol enabling dApps to launch loan marketplaces with AI agents and DeFi Credit Scores.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 13 | 8 contacts → | ||||
Partial evidence “AI driven risk models (origination and monitoring) & digital lending platform for the agribusiness industry, starting with dairy & beef.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 14 | 8 contacts → | ||||
Partial evidence “Agentic AI platform to help lenders and brokers close more small business loans.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 15 | 6 contacts → | ||||
Indirect evidence “Banker AI provides GenAI agents that support lending and portfolio management processes, integrating seamlessly with existing underwriting and investment platforms to bring…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 16 | 6 contacts → | ||||
Indirect evidence “Boost.money is a cutting-edge AI platform empowering Financial Institutions and Lenders to revolutionize lending decisions.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 17 | 6 contacts → | ||||
Strong evidence “Flowcast leverages its patented machine learning methodologies to create high-performing predictive models that assess risk and enable lenders to unlock credit to all size…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 18 | 5 contacts → | ||||
Strong evidence “Soteris builds machine learning software to help insurers and MGAs more accurately select and price auto insurance risks.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 19 | 4 contacts → | ||||
Indirect evidence “Shiboleth automates consumer lending compliance with AI.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 20 | 4 contacts → | ||||
Indirect evidence “Millions of businesses across the country rely on commercial lenders for the funds they need to build and grow their businesses.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: machine learning loan origination companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names machine learning loan origination companies.
- Partial evidence
- Its own public description names part of machine learning loan origination companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning loan origination companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 20 of 41 machine learning loan origination companies based in San Francisco, United States
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Machine learning loan origination companies based in San Francisco, United States at a glance
As of Sep 13, 2026Companies by employee count
Freshness & accuracy
How recently the business emails were verified and the company information checked
Email last verified
Median 16.0dCompany record updated
Median 54.0dHow this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among machine learning loan origination companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in San Francisco, United States whose own description of what they do matches “machine learning loan origination companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names machine learning loan origination companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among machine learning loan origination companies, and records with no verified work email. Companies headquartered outside San Francisco are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 222 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 13, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Machine learning loan origination companies by metro in the United States
- Machine learning loan origination companies in New York44
- Machine learning loan origination companies in San Francisco41
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names machine learning loan origination companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many machine learning loan origination companies are there based in San Francisco, United States?
RevenueBase identified 41 machine learning loan origination companies headquartered in San Francisco, United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
MIGO, headquartered in San Francisco, tops this list with the largest team on record.
Which city has the most machine learning loan origination companies?
New York leads with 44 headquartered companies, followed by San Francisco (41) and Chicago (15).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 222 verified decision-maker contacts tracked across these 41 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 13, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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