Company lists · Data refreshed September 2026
Top 15 Back office automation companies based in San Francisco, United States
RevenueBase identified 25 back office automation companies headquartered in San Francisco, United States as of September 2026 and tracks 604 professional contacts across them, including 168 with verified work emails. New York is the largest hub.
This list covers back office automation 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 16, 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 15 largest back office automation companies based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 207 contacts → | ||||
Indirect evidence “Nanonets agents understand key details in files – like invoices, POs, BoL & clinical documents – work through complex processes and act with transparency, making them the most…” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 2 | 78 contacts → | ||||
Indirect evidence “Pallet automates your most costly operations from quote to cash with industry-leading accuracy at enterprise scale.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 3 | 54 contacts → | ||||
Indirect evidence “Appeon was founded in by a group of innovative Silicon Valley professionals with the mission to simplify and speed up enterprise application development.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 4 | 40 contacts → | ||||
Strong evidence “The new-age back-office of fintech & retail, to increase the speed of innovation and improve the health of the financial services ecosystem.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 5 | 37 contacts → | ||||
Indirect evidence “Finvisor is the finance partner for founders who are building something real.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 6 | 23 contacts → | ||||
Indirect evidence “ABUKAI revolutionizes how companies conduct business with its ACTIONABLE BUSINESS PRODUCTIVITY solutions, based on new business thinking, simpler user interfaces and supported by…” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 7 | 14 contacts → | ||||
Partial evidence “Numeral specializes in advanced financial automation solutions, designed for high-volume businesses.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 8 | 10 contacts → | ||||
Indirect evidence “Elevate Your Business with Mindworks, the BX Cloud Software Pioneer.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 9 | 8 contacts → | ||||
Partial evidence “Business process automation for document heavy workflows” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 10 | 7 contacts → | ||||
Indirect evidence “Ressl AI helps teams bridge the gap from prototype to production by providing the platform needed to train, benchmark, and deploy autonomous agents that actually work in…” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 11 | 6 contacts → | ||||
Indirect evidence “The U.S.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 12 | 6 contacts → | ||||
Indirect evidence “Leading lenders trust Tennis to automate up to 90% of collections and legal workflows, from borrower outreach to arbitration, helping them recover more while cutting costs.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 13 | 5 contacts → | ||||
Indirect evidence “Finic helps enterprises neutralize coordinated fraud attacks before they become the major incidents.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 14 | 4 contacts → | ||||
Indirect evidence “We exist to make companies prosper by elevating the people who keep them running.” Source: RevenueBase Database · checked Sep 16, 2026Thanks. The Data Team will review it. | |||||
| 15 | 3 contacts → | ||||
Indirect evidence “SherpaDesk builds software that makes running your business easier.” Source: RevenueBase Database · checked Sep 16, 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: back office automation 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 back office automation companies.
- Partial evidence
- Its own public description names part of back office automation companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name back office automation 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 15 of 25 back office automation companies based in San Francisco, United States
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Back office automation companies based in San Francisco, United States at a glance
As of Sep 16, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than for San Francisco, so it is reported there. Company counts and contact totals on this page are exact for San Francisco, over 25 companies.
How 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 back office automation 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 “back office automation 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 back office automation 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 back office automation 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, 168 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 16, 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.
Back office automation companies by metro in the United States
- Back office automation companies in New York55
- Back office automation companies in Austin34
- Back office automation companies in Houston30
- Back office automation companies in San Francisco25
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 back office automation 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 back office automation companies are there based in San Francisco, United States?
RevenueBase identified 25 back office automation 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?
Nanonets, headquartered in San Francisco, tops this list with the largest team on record.
Which city has the most back office automation companies?
New York leads with 55 headquartered companies, followed by Austin (34) and Houston (30).
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 168 verified decision-maker contacts tracked across these 25 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 16, 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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