1
Dataminr
New York, New York, United States
real-time AI-powered alerts and insights to businesses and organizations across various industries
- Revenue
- $200M
- Customers
- -
- Year founded
- 2009
- Funding
- $1.1B
- Team size
- 757
- Growth
- 17.3%
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.
Filters
Sorting: Highest -> Lowest
Top Text Analysis Software Companies
Showing 10 of 6 companies ranked by annual revenue.
2
OpenWeb
New York, New York, United States
OpenWeb is a social engagement platform that allows publishers to foster meaningful conversations among their audience, while filtering out spam and toxicity. The platform provides real-time moderation, community management tools, and analytics to help publishers drive engagement and loyalty. OpenWeb is headquartered in New York City and serves publishers across the globe. The company's mission is to create a more open and civil internet where people can connect and communicate without fear of harassment or abuse. OpenWeb was founded in 2015 and has since grown to become a trusted partner for publishers looking to improve their engagement and audience experience.
- Revenue
- $158.8M
- Customers
- -
- Year founded
- 2015
- Funding
- $393M
- Team size
- 269
- Growth
- 26.05%
3
Affiniv Survey & Feedback
Bangalore, Karnataka, India
Affiniv is a customer experience platform that helps businesses collect NPS, CSAT, and Customer Feedback in general, analyze them using AI, and uncover actionable insights for business growth. Using our product, you can create surveys, send them over multiple channels (Email, WhatsApp, Web-Embed, etc.), and then analyze the responses on our AI-powered dashboard. Brands use this feedback to improve their existing products and processes, get ideas on new launches, and convert their detractors into promoters. Affiniv is affordable, easy to use, and comes with 1:1 onboarding support. We are a bootstrapped SAAS business building a high-quality product for our global customer base with customer experience at the heart of it.
- Revenue
- $129.6M
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- -
- Growth
- -
- Revenue
- $120M
- Customers
- 600
- Year founded
- 2007
- Funding
- $61.9M
- Team size
- 500
- Growth
- 20%
5
Nanonets
San Francisco, United States
Nanonets leverages advanced OCR and Deep Learning technology to efficiently extract relevant information from unstructured text and documents. It enables the digitization of documents, extraction of specific data fields, and facilitates integration with everyday applications through APIs, all within a simple and intuitive interface. This technology significantly streamlines manual processes by automating tasks such as invoice, receipt, and document reviews. It notably reduces processing time by up to 90% and can save up to 50% on costs.
- Revenue
- $100M
- Customers
- -
- Year founded
- 2017
- Funding
- -
- Team size
- 101
- Growth
- 150%
6
Cohere
Toronto, Ontario, Canada
the leading AI platform for enterprise, suited to the needs of business, unlocking unprecedented ease-of-use, accessibility, and data privacy
- Revenue
- $100M
- Customers
- -
- Year founded
- 2019
- Funding
- $1B
- Team size
- 843
- Growth
- 17.65%
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