Company lists · Data refreshed September 2026
Top 25 Automated data cleaning companies based in the United States
RevenueBase identified 73 automated data cleaning companies headquartered in the United States as of September 2026 and tracks 3,795 professional contacts across them, including 1,810 with verified work emails and 1,177 with mobile numbers. New York is the largest hub.
This list covers automated data cleaning companies headquartered in the 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 7, 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 25 largest automated data cleaning companies based in the United States
Ranked by team size| # | Company | RevenueBase Smart Search | Contacts | ||
|---|---|---|---|---|---|
| 1 | Partial evidence | 2,243 contacts → | |||
“As a global leader in data integrity, Precisely ensures that your data is accurate, consistent, and contextual.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 2 | Partial evidence | 159 contacts → | |||
“eCore helps GTM teams fix the data problems that slow down sales, marketing, RevOps, and AI initiatives.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 3 | Partial evidence | 80 contacts → | |||
“DQLabs is the provider of PRIZM, which is an AI-native enterprise platform and unifies data observability, data quality, and context into one continuously validated system.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 4 | Partial evidence | 58 contacts → | |||
“Data Services, Inc.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 5 | Partial evidence | 37 contacts → | |||
“Matchbook AI helps companies turn messy, disconnected business data into trusted information they can actually use.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 6 | Partial evidence | 32 contacts → | |||
“Industrial AI doesn’t fail in the model, it fails in the data.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 7 | Partial evidence | 32 contacts → | |||
“We're helping data teams have confidence in their data, no matter what.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 8 | Partial evidence | 24 contacts → | |||
“We help Salesforce users identify and resolve data quality issues using a comprehensive AI-enabled Data Quality Platform.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 9 | Partial evidence | 23 contacts → | |||
“Runner EDQ provides organizations with critical pieces of data for their current databases such as: name, phone, email, postal address, social media handles and much more.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 10 | Partial evidence | 22 contacts → | |||
“Data Ladder focuses on delivering quality data and cleansing solutions that would allow the full potential of the data in your organization through advanced matching, profiling…” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 11 | Indirect evidence | 18 contacts → | |||
“Businesses look to Service Objects when they want to be sure every contact record in every database is as genuine, accurate, and up-to-date as it possibly can be.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 12 | Partial evidence | 16 contacts → | |||
“Lightup is a no-code data quality platform with pushdown data quality checks, monitoring, and AI-powered anomaly detection alerts that enables enterprises to achieve 100% data…” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 13 | Partial evidence | 13 contacts → | |||
“This is how we deliver GREATNESS to our clients We fix data so that businesses can make better decisions and improve their marketing.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 14 | Partial evidence | 13 contacts → | |||
“Empowering Businesses with AI-Powered Data Quality Solutions Welcome to RoutineAI, where we are dedicated to transforming data quality management for businesses across diverse…” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 15 | Partial evidence | 11 contacts → | |||
“Firstlogic delivers data quality software to empower the data-driven company.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 16 | Partial evidence | 11 contacts → | |||
“We are data quality experts.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 17 | Partial evidence | 11 contacts → | |||
“Wave HDC (a part of Experian) is healthcare's data curator for providers, billers, and their auditors.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 18 | Partial evidence | 10 contacts → | |||
“At Accurate Append – we live and breathe data.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 19 | Partial evidence | 10 contacts → | |||
“We deliver quality, trust, professionalism, and attentiveness as a professional cleaning company each and every day.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 20 | Strong evidence | 6 contacts → | |||
“Rectify leverages privacy-enabled artificial intelligence™ to automate the removal of private information when data sharing occurs.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 21 | Partial evidence | 6 contacts → | |||
“Infosolve Technologies is a Data Solutions company exclusively focused on enterprise Data Quality(DQ), Customer Data Integration (CDI), Master Data Management (MDM), Data…” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 22 | Partial evidence | 5 contacts → | |||
“DataGroomr® is the modern, leading-edge solution to Salesforce data quality.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 23 | Indirect evidence | 5 contacts → | |||
“Octozi helps the pharma industry accelerate drug approvals with AI agents.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 24 | Partial evidence | 4 contacts → | |||
“ZeroError solves data quality.” Source: company website · checked Sep 7, 2026Thanks. The Data Team will review it. | |||||
| 25 | Partial evidence | 4 contacts → | |||
“We’re a company with a tight focus: data quality management for the best direct marketing campaigns.” Source: company website · checked Sep 7, 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: automated data cleaning 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 automated data cleaning companies.
- Partial evidence
- Its own public description names part of automated data cleaning companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name automated data cleaning 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 25 of 73 automated data cleaning companies based in the United States
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Automated data cleaning companies based in the United States at a glance
As of Sep 7, 2026Companies by employee count
Freshness & accuracy
How recently the business emails on this list were verified
Email last verified
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 automated data cleaning 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 the United States whose own description of what they do matches “automated data cleaning 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 automated data cleaning 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 automated data cleaning companies, and records with no verified work email. Companies headquartered outside United States 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, 1,810 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 7, 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.
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 automated data cleaning 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 automated data cleaning companies are there based in the United States?
RevenueBase identified 73 automated data cleaning companies headquartered in the 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?
Precisely, headquartered in Burlington, tops this list with the largest team on record.
Which city has the most automated data cleaning companies?
New York leads with 5 headquartered companies, followed by San Francisco (4) and Austin (3).
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 1,810 verified decision-maker contacts tracked across these 73 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 7, 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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