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
- $240M
- Year founded
- 2019
- Funding
- $1.6B
- Team size
- 450
- Growth
- 140%
As of September 2026, Latka tracks 647 text analysis software companies. They have combined revenues of $3.9B and employ 24.6K people. They have raised $6B and serve 1.3M customers combined.
Every company below sells text analysis 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.
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.
Sorting: Highest -> Lowest
Showing 10 of 647 companies ranked by annual revenue.
Toronto, Ontario, Canada
the leading AI platform for enterprise, suited to the needs of business, unlocking unprecedented ease-of-use, accessibility, and data privacy
New York, New York, United States
real-time AI-powered alerts and insights to businesses and organizations across various industries
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.
United States
OpenRouter AI is a platform that aggregates various AI models, providing users with a seamless API and chat interface to interact with multiple large language models (LLMs) simultaneously. It is designed to facilitate the use of AI models for tasks involving image analysis, chart interpretation, and more.
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.
San Francisco, California, United States
Provider of an AI-based speech-to-text search platform created to understand human speech. The company's end-to-end deep learning speech recognition system searches for keywords in transcripts by both sound and text within audio and video files, used for transcribing calls, meetings and voicemails for searchable notes, providing businesses with a fast, high accuracy speech-to-text on an easy-to-use API at affordable prices.
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.
San Francisco, California, United States
cloud-based machine learning-powered log analytics and monitoring solutions
Suresnes, Ile-de-France, France
Created in 2019, ChapsVision enables sectors with a strong Data footprint such as Retail, Finance, Public Services, to succeed in their digital transformation thanks to a highly complementary portfolio of fully integrated business solutions around a Unified Customer and Product repository and a modern platform for analysis and investigation. ChapsVision now brings together the activities of Coheris, the historical leader in customer service, Octipas the unified commerce platform, NP6 the specialist in Customer Data Platform and Marketing Automation and Bertin IT, the specialist in Market and Speech Intelligence software solutions and digital investigation. Through very significant R&D investments supplemented by a sustained strategy of acquisitions and international development, ChapsVision wishes to quickly form a coherent, important group, capable of becoming the privileged strategic partner of its Customers, by relying on its 15 years of expertise.
Latka tracks 647 text analysis software companies with reported revenue. Together they generate $3.9B in annual revenue and employ 24.6K people.
Cohere is the largest, with $240M in annual revenue, founded in 2019.
The average text analysis software company in this list makes $6.1M a year, across 647 companies with reported revenue. They serve 1.3M customers combined.
Ranked by annual revenue, the leaders are Cohere, Dataminr, OpenWeb, OpenRouter and Affiniv Survey & Feedback.
The 647 text analysis software companies tracked here have raised $6B in disclosed funding between them.
- 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
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