As of May 2026, there are 292 SaaS companies in Natural Language Generation (NLG) Software. They have combined revenues of $1.6B and employ 10K people. They have raised $4.5B and serve 141.5K customers combined.
Natural Language Generation (NLG) software utilizes artificial intelligence to convert structured and unstructured data into human-readable text. This technology is designed to automate the creation of narratives, reports, interactive responses, and other forms of written content, enabling organizations to communicate insights and findings efficiently. NLG is extensively used in industries such as finance, healthcare, e-commerce, and marketing, where clear and concise communication of data-driven insights is crucial. Typical features of NLG software include the ability to understand data patterns, generate coherent narrative structures, and incorporate contextual relevance to produce customized outputs. Common workflows often involve inputting data into the system, which the software then analyzes to create understandable text formats according to specific user requirements. Buyer personas for NLG solutions generally include data analysts, marketing professionals, customer support teams, and business intelligence officers, all of whom benefit from quick data-to-text transformations that improve decision-making and reporting processes.
Sorting: Highest -> Lowest
Showing 10 of 292 companies ranked by annual revenue.
Palo Alto, California, United States
An AI Agent engine where specialized AI agents perform research and generate custom pages called Sparkpages. Free from biases and SEO-driven content, Sparkpages synthesize trustworthy information, offering more valuable results and saving users time.
Stockholm, , Sweden
Hypertype's AI detects the most relevant information from you or your company's emails, document and Notion and then auto-generates custom replies to each incoming email with just the click of a button.
New York, New York, United States
For marketers, every word counts. Over 1 billion marketing messages are created daily across digital channels, many of which are biased, costly to produce, and ineffective. Anyword's mission is to solve these issues. Anyword is a natural language generation platform designed to assist marketers in crafting messages tailored to their target audience. Our platform utilizes a model trained on millions of marketing messages and integrates with your historical data to generate high-quality messages across various channels and formats. Anyword is trusted by leading publishers and brands globally, including The New York Times, PetCareRx, NBA, Red Bull, Ted Baker, and others.
Wilmington, Delaware, United States
Your virtual content assistant that helps you generate quality content within seconds.
San Francisco, California, United States
Sure, here is a revised version of the description: Writer is the AI writing assistant designed for smart content teams. We assist content leaders in scaling their messaging, refining their communication style, and perfecting essential language elements, regardless of the writer's proficiency level. Leading companies such as Twitter, Intuit, and UiPath have chosen Writer to streamline and standardize their content creation processes.
New York, New York, United States
Copywriting AI with predictable results Get more conversions and drive more sales with an AI writer that generates and optimizes your copy. Powerful predictive analytics tells you what works before you publish.
New York, New York, United States
AutogenAI is a cutting-edge generative AI solution revolutionizing the bid and proposal process globally. It provides advanced natural language processing solutions to enable companies to write compelling content for bids.
Palo Alto, California, United States
CHAI is a generative AI startup located in Palo Alto. We are building a platform where anyone is free to submit an LLM. We leverage human-feedback from our million of users to combine these individual LLM's into a meta-model which vastly exceeds the capabilities of any individual model.
- The software must automate the conversion of data into coherent natural language text. - It should support both structured and unstructured data inputs. - The solution must be capable of generating customizable reports or narratives based on user-defined parameters. - It is designed for use cases in sectors such as finance, healthcare, marketing, and e-commerce. - The software must enhance communication efficiency and clarity of data insights. - Not just a basic text generator; must also provide contextual understanding of data to produce meaningful narratives.
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