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Top 647 Text Analysis Software SaaS Companies in May 2026

As of May 2026, there are 647 SaaS companies in Text Analysis Software. They have combined revenues of $3.6B and employ 24.6K people. They have raised $5B and serve 1.3M customers combined.

Text Analysis Software refers to tools designed to extract meaningful insights from unstructured text data. By utilizing natural language processing and machine learning technologies, these software solutions enable businesses to analyze customer feedback, social media interactions, and other textual sources to identify trends, sentiments, and key themes. Primary use cases include customer experience enhancement, market research, and content optimization.

Companies
647
Revenue
$3.6B
Funding
$5B
Employees
24.6K

Filters

Sorting: Highest -> Lowest

Filters

Top Text Analysis Software Companies

Showing 10 of 250 companies ranked by annual revenue.

1
NuMind

Cambridge, Massachusetts, United States

Create custom NLP models

Revenue
$5M
Customers
-
Year founded
2022
Funding
-
Team size
10
Growth
-
2
Legal Insights

Sao Paulo, Sao Paulo, Brazil

Developer of an analytical platform intended for the corporate legal department. The company's platform uses artificial intelligence to detect the trends of the judiciary in-depth, enabling clients to reduce costs, risks and increasing the level of predictability of legal liabilities.

Revenue
$5M
Customers
-
Year founded
2016
Funding
-
Team size
8
Growth
784.96%
3
MonkeyLearn

San Francisco, California, United States

Text Analysis and Machine Learning made easy. Get started for free!

Revenue
$5M
Customers
-
Year founded
2014
Funding
-
Team size
4
Growth
-
4
Hearful

Chapel Hill, North Carolina, United States

Advanced NLP and text mining techniques are applied to customer review data across your marketplace to extract both strategic and granular insights that drive product decisions

Revenue
$5M
Customers
-
Year founded
2017
Funding
-
Team size
1
Growth
-
5
StartDate

Dallas-Fort Worth, Texas, United States

StartDate created the latest AI proprietary technology that analyzes the unstructured text between job descriptions and CV's and displays a ranked and optimized output. Their PoweredBy product provides a fun playground to try and see the AI work in real time.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
4
Growth
-
6
Tika

San Francisco, California, United States

Developer of a communication assistant created to facilitate engineering team management. The company's assistant utilizes artificial intelligence to provide real-time visibility into team's engagement for taking quick action and also chats with employees where they work to understand how they feel and why, enabling team leaders to get real-time analytics and insights into their team members for better productivity.

Revenue
$5M
Customers
-
Year founded
2015
Funding
-
Team size
20
Growth
48.18%
7
Virtuals Protocol

United States

AIXBT is an AI agent and driven crypto market intelligence platform designed to provide token holders with a strategic edge in the rapidly evolving crypto space. Leveraging advanced narrative detection and alpha-focused analysis, AIXBT automates the process of tracking and interpreting market trends, helping users gain actionable insights. This project emphasizes integrating various data sources and platforms for comprehensive analysis and decision-making.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
45
Growth
-
8
amptalk

渋谷, 東京, Japan

amptalkはオンライン商談を自動で書き起こし、解析するセールスイネーブルメントツールです | amptalk is a sales enablement tool that automatically captures recorded sales calls on Zoom, transcribes the conversation, and analyzes the content.

Revenue
$4.8M
Customers
-
Year founded
2020
Funding
-
Team size
44
Growth
-
9
Kanverse.ai

San Jose, California, United States

Make your Enterprise Future Ready with Kanverse AI. Kanverse.ai offers a suite of products that combines AI, and OCR technologies with Automation. Kanverse Intelligent Document Processing (IDP) enables multi-channel ingestion, automated classification, extraction with high accuracy, AI-based analytics, validation against business rules, and automated filing of documents. Manual processing of documents is time-consuming, hampers productivity, increases costs, and leads to unwanted errors. With Kanverse AI Agents, enterprises can seamlessly transition to "Zero-Touch" document processing workflows. By automating the processing, validation, and filing of unstructured, semi-structured, and structured documents, Kanverse's AI Agents reduces costs and cycle times and enhances productivity and morale. It empowers teams to focus on higher-value tasks while ensuring accuracy and efficiency in document processing. With AI-Powered Kanverse you can achieve - * Up to 80% Reduction in Operational Costs * Up to 98% Reduction in Document processing Cycle Time * Up to 99.5% Document Extraction Accuracy

Revenue
$4.8M
Customers
-
Year founded
-
Funding
-
Team size
44
Growth
-
10
Maybe*

Birmingham, England, United Kingdom

Maybe* you expect more from AI. Discover our secure, easy-to-deploy AI solutions that streamline work, boost efficiency, and produce consistently on-brand messaging. With Maybe*, you can transform routine tasks into triumphs and focus on strategic growth. We are your AI partner that automates tasks, enhances productivity, and crafts impeccable content tailored to your unique business voice, from proposals to social media. Maybe* converts your data into actionable insights, freeing you to concentrate on what truly matters. Trusted by SMEs to PLCs and government entities. Maybe* delivers faster access to value, enhanced engagement, and unparalleled expertise. For larger companies and developers, we have an API that accelerates the delivery of AI system integration. Security and Compliance: Maybe* is secured by a Data Service Agreement with OpenAI, audited to SOC2 standards, and trusted by industry leaders. With Maybe*, anything is possible. Start your journey today #AI #Innovation #BusinessGrowth

Revenue
$4.6M
Customers
-
Year founded
2014
Funding
-
Team size
42
Growth
-

Inclusion Criteria

- Must extract insights from unstructured text data - Should provide sentiment analysis capabilities - Must identify themes or topics within the text - Should include data visualization tools to present findings - Not just analytics; must also support actionable recommendations - Target users include marketing teams, data analysts, and customer service professionals - Should integrate with other data systems or platforms for comprehensive analysis