Latka logo

Top 1 Data Preparation Software Companies With $5M–$10M Revenue (November 2026)

As of November 2026, Latka tracks 1 data preparation software companies with $5M–$10M in annual revenue. They have combined revenues of $7.7M and employ 85 people. They have raised $65M.

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
1
Revenue
$7.7M
Funding
$65M
Employees
85

Filters

Sorting: Highest -> Lowest

Filters
Revenue
All<$1M$1M-$5M$5M-$10M$10M-$100M$100M+
Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Data Preparation Software Companies With $5M–$10M Revenue

Showing 1 of 1 companies ranked by annual revenue.

1Unstructured 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

Frequently asked questions about Data Preparation Software Companies With $5M–$10M Revenue

How many data preparation software companies with $5M–$10M in annual revenue are there?

Latka tracks 1 data preparation software companies with $5M–$10M in annual revenue. Together they generate $7.7M in annual revenue and employ 85 people.

Which data preparation software company with $5M–$10M in annual revenue is the largest?

Unstructured is the largest, with $7.7M in annual revenue, founded in 2022.

How much revenue does a typical data preparation software company with $5M–$10M in annual revenue make?

The average data preparation software company in this list makes $7.7M a year, across 1 companies with reported revenue.

Who are the leading Data Preparation software vendors with $5M–$10M in annual revenue?

Ranked by annual revenue, the leaders are Unstructured.

How much funding have data preparation software companies with $5M–$10M in annual revenue raised?

The 1 data preparation software companies with $5M–$10M in annual revenue tracked here have raised $65M in disclosed funding between them.

Related IT Infrastructure Software categories

All IT Infrastructure Software SaaS categoriesEvery category we track inside IT Infrastructure Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Data Preparation to everything else.

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.