As of November 2026, Latka tracks 2 data preparation software companies under $1M in annual revenue. They have combined revenues of $555.8K and employ 72 people.
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.
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.
Sorting: Highest -> Lowest
Showing 2 of 2 companies ranked by annual revenue.
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.
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.
Latka tracks 2 data preparation software companies under $1M in annual revenue. Together they generate $555.8K in annual revenue and employ 72 people.
Nex AI is the largest, with $330K in annual revenue.
The average data preparation software company in this list makes $277.9K a year, across 2 companies with reported revenue.
Ranked by annual revenue, the leaders are Nex AI and Aparavi.
- 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.