Company lists · Data refreshed September 2026
Top 25 Data cleaning companies based in the United States
RevenueBase identified 87 data cleaning companies headquartered in the United States as of September 2026 and tracks 4,979 professional contacts across them, including 2,574 with verified work emails. San Francisco is the largest hub.
This list covers 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 19, 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 data cleaning companies based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 2,243 contacts → | ||||
Partial evidence “As a global leader in data integrity, Precisely ensures that your data is accurate, consistent, and contextual.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 2 | 1,088 contacts → | ||||
Partial evidence “Data Axle helps clients create a foundation of clean data, find new leads, develop winning strategies, design beautiful campaigns, and can handle all day-to-day execution needs” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 3 | 159 contacts → | ||||
Partial evidence “eCore helps GTM teams fix the data problems that slow down sales, marketing, RevOps, and AI initiatives.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 4 | 123 contacts → | ||||
Partial evidence “Since 2018, Odetta has been helping organizations of all sizes reap the benefits of clean, reliable data to make better decisions, drive growth, and measure the results.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 5 | 81 contacts → | ||||
Partial evidence “At Arkatechture, we love data, we play with it and learn from it every day, and we want you to love your data, too!” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 6 | 58 contacts → | ||||
Partial evidence “Data Services, Inc.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 7 | 37 contacts → | ||||
Partial evidence “Matchbook AI helps companies turn messy, disconnected business data into trusted information they can actually use.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 8 | 24 contacts → | ||||
Partial evidence “We help Salesforce users identify and resolve data quality issues using a comprehensive AI-enabled Data Quality Platform.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 9 | 23 contacts → | ||||
Partial evidence “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: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 10 | 22 contacts → | ||||
Partial evidence “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: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 11 | 18 contacts → | ||||
Indirect evidence “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: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 12 | 16 contacts → | ||||
Partial evidence “RingLead is the #1 cloud-based data orchestration platform - offering a unified suite of solutions to dedupe, standardize, normalize, segment, score, match leads-to-accounts…” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 13 | 14 contacts → | ||||
Partial evidence “Dazmii specializes in comprehensive data management services and solutions tailored to empower businesses in today's data-driven landscape.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 14 | 13 contacts → | ||||
Partial evidence “Improve and better manage your Salesforce & Marketo data with Cloudingo.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 15 | 13 contacts → | ||||
Partial evidence “This is how we deliver GREATNESS to our clients We fix data so that businesses can make better decisions and improve their marketing.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 16 | 13 contacts → | ||||
Partial evidence “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: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 17 | 11 contacts → | ||||
Partial evidence “Firstlogic delivers data quality software to empower the data-driven company.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 18 | 11 contacts → | ||||
Partial evidence “We are data quality experts.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 19 | 10 contacts → | ||||
Partial evidence “At Accurate Append – we live and breathe data.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 20 | 6 contacts → | ||||
Partial evidence “Informatica Data as a Service offers over twenty products to enterprises facing data challenges every day.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 21 | 5 contacts → | ||||
Partial evidence “DataGroomr® is the modern, leading-edge solution to Salesforce data quality.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 22 | 4 contacts → | ||||
Partial evidence “We’re a company with a tight focus: data quality management for the best direct marketing campaigns.” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 23 | 3 contacts → | ||||
Partial evidence “DynamicHQI: Transforming Your Raw Data into High-Quality Information At DynamicHQI, our mission is to empower decision-makers by transforming raw data into high-quality…” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 24 | 2 contacts → | ||||
Partial evidence “Even with the explosion of commercial sales & marketing systems and data, companies still struggle to identify ideal accounts and contacts, and also struggle to keep their data…” Source: RevenueBase Database · checked Sep 19, 2026Thanks. The Data Team will review it. | |||||
| 25 | 1 contacts → | ||||
Partial evidence “Match Data Pro is an easier way to collaborate and automate the way you clean, match, merge, manage, and integrate data.” Source: RevenueBase Database · checked Sep 19, 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: 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 data cleaning companies.
- Partial evidence
- Its own public description names part of 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 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 87 data cleaning companies based in the United States
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Data cleaning companies based in the United States at a glance
As of Sep 19, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for United States, so it is reported there. Company counts and contact totals on this page are exact for United States, over 87 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 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 “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 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 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, 2,574 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 19, 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 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 data cleaning companies are there based in the United States?
RevenueBase identified 87 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 data cleaning companies?
San Francisco leads with 5 headquartered companies, followed by New York (4) and Dallas (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 2,574 verified decision-maker contacts tracked across these 87 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 19, 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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