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Top 7 Data Preparation Software Companies (November 2026)

As of November 2026, Latka tracks 7 data preparation software companies. They have combined revenues of $49.5M and employ 557 people. They have raised $198.1M and serve 500 customers combined.

Every company below sells data preparation software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Data Preparation Software Companies do

Data preparation software is designed to help organizations effectively collect, clean, transform, and organize raw data into a structured format suitable for analysis. This software plays a crucial role in ensuring data quality and usability, enabling businesses to derive actionable insights from their data analytics and machine learning initiatives. Typical use cases for data preparation software include preprocessing data for dashboards, reports, and data visualizations, as well as preparing datasets for machine learning and data science projects. Key features often include data cleansing, data transformation, data integration, and the ability to handle large volumes of unstructured data, making it accessible for further analysis by various stakeholders. Organizations from various sectors utilize data preparation software, with primary user personas including data analysts, data scientists, business intelligence professionals, and IT teams. These users rely on data preparation tools to simplify complex data workflows and automate repetitive tasks, ultimately fostering a data-driven decision-making culture within their organizations.

Companies
7
Revenue
$49.5M
Funding
$198.1M
Employees
557

Filters

Sorting: Highest -> Lowest

Filters

Top Data Preparation Software Companies by revenue

Showing 7 of 7 companies ranked by annual revenue.

1Datameer logo
Datameer

San Francisco, California, United States

Datameer: Your Solution to Self-Serve Data Analysis and Visualization. Empower analysts with a comprehensive platform for data preparation, cleaning, combining, and organizing, seamlessly integrated with Snowflake, to unlock actionable insights for better decision-making and unleash the full potential of your data. Headquartered in San Francisco, California, Datameer has a global presence with offices in key locations around the world. The company serves customers across various industries, including finance, healthcare, telecommunications, retail, and more. Its versatile platform caters to organizations of all sizes, ranging from small startups to large enterprises, and is used by data scientists, analysts, and business users alike. Over the years, Datameer has built a strong customer base, with thousands of satisfied customers across the globe. Its innovative data analytics platform has helped numerous organizations unlock the value of their data, driving improved operational efficiency, better customer insights, and increased revenue. Datameer's commitment to providing cutting-edge data analytics solutions has earned it a reputation as a trusted partner for businesses seeking to harness the power of data to gain a competitive advantage in today's data-driven world. Datameer works with customers from every industry including Dell, Vodaphone, Citibank, UPS, and more.

Revenue
$17.6M
Year founded
2009
Team size
160
2Flatfile logo
Flatfile

Denver, Colorado, United States

Flatfile’s vision is to enable seamless data exchange between companies — large and small — throughout the world. With AI-assisted data exchange, Flatfile eliminates repetitive work and makes B2B data exchange fast, intuitive, and error-free. The Flatfile platform automatically learns how imported data should be structured and cleaned, enabling customers and teams to spend more time using their data instead of fixing it. Flatfile has completed over 25 billion data mapping decisions for companies like Sage, ClickUp, Square, AstraZeneca, CBRE and Spotify. For more information, email [email protected] or visit flatfile.com.

Revenue
$10.9M
Customers
500
Year founded
2018
Funding
$94.6M
Team size
65
3Prophecy.io logo
Prophecy.io

San Diego, California, United States

Prophecy is a cloud-based data engineering platform that allows data teams to easily collect, transform, and integrate data from various sources. It offers a range of features such as data pipelines, data validation, version control, and monitoring to streamline the data engineering process. The company is headquartered in San Francisco, California and was founded in 2017.

Revenue
$10.6M
Year founded
2017
Funding
$38.5M
Team size
155
4Unstructured logo
Unstructured

Sacramento, California, United States

At Unstructured, we're on a mission to give organizations access to all their data. We know the world runs on documents—from research reports and memos, to quarterly filings and plans of action. And yet, 80% of this information is trapped in inaccessible formats leading to inefficient decision-making and repetitive work. Until now. Unstructured captures this unstructured data wherever it lives and transforms it into AI-friendly JSON files for companies who are eager to fold AI into their business.

Revenue
$7.7M
Year founded
2022
Funding
$65M
Team size
85
5iterative.ai logo
iterative.ai

San Francisco, California, United States

We create open-source and SaaS developer tools dedicated to advancing machine learning data management. Our journey began with the creation of DVC, that is now an open-source standard for data versioning and reproducibility. Fast forward to today, we are launching DataChain. It is a multimodal data processing framework for ETL and data analytics at scale. 🌐 Enterprise Support Our team is dedicated to providing top-notch Enterprise support, ensuring your teams are set up for success. 💬 Let's Connect Curious to learn more? Schedule a 45-minute discussion with our experts to explore how Iterative can tailor solutions to your unique use case. Book a meeting here - https://calendly.com/dmitry-at-iterative/dmitry-petrov-30-minutes. 💡 Why Iterative We are on a mission to simplify the complexities of managing datasets and ML infrastructure. At Iterative, we bring the best engineering practices to data science and machine learning teams, empowering them to thrive in the ever-evolving landscape of Generative AI. Join us as we redefine possibilities and shape the future of Generative AI innovation.

Revenue
$2.2M
Year founded
2018
Team size
20
6Nex AI logo
Nex AI

Singapore, Singapore

Nex enables knowledge workers to be more productive and creative by using AI in a way that is truly easy and effective. Use prompt templates, import existing Word documents, chat with Nex, edit in rich text, and highlight to improve with AI.

Revenue
$330K
Team size
3
7Aparavi logo
Aparavi

Zug, Switzerland

Developer of a SaaS-based software intended to provide multi-cloud data management. The company's software delivers solutions to help organizations to get primary and secondary use out of their unstructured data, build out archives either on-premises or in any cloud, thereby allowing businesses to classify and retain information across hybrid cloud environments.

Revenue
$225.8K
Year founded
2016
Team size
69

Frequently asked questions about Data Preparation Software Companies

How many data preparation software companies are there?

Latka tracks 7 data preparation software companies with reported revenue. Together they generate $49.5M in annual revenue and employ 557 people.

Which data preparation software company is the largest?

Datameer is the largest, with $17.6M in annual revenue, founded in 2009.

How much revenue does a typical data preparation software company make?

The average data preparation software company in this list makes $7.1M a year, across 7 companies with reported revenue. They serve 500 customers combined.

Who are the leading Data Preparation software vendors?

Ranked by annual revenue, the leaders are Datameer, Flatfile, Prophecy.io, Unstructured and iterative.ai.

How much funding have data preparation software companies raised?

The 7 data preparation software companies tracked here have raised $198.1M in disclosed funding between them.

Related IT Infrastructure Software categories

Inclusion Criteria

- The software must provide functionality for data cleansing and sanitization. - It should facilitate data transformation to make data analysis-ready. - Must support integration with multiple data sources and types. - The product should cater to both technical and non-technical users to enhance usability. - Not just data visualization tools; must also offer data manipulation and processing capabilities. - Should enable automation of data workflows to improve efficiency.