Grammarly Inc. vs Scale AI, Inc.: Strategic Comparison

This in-depth comparison examines Grammarly Inc. and Scale AI, Inc. across revenue, market value, business model, competitive positioning, and long-term growth strategy. Whether you are researching Grammarly Inc. on its own, evaluating Scale AI, Inc., or weighing the two companies side by side, the breakdown below highlights where each company leads and where the gap between Grammarly Inc. and Scale AI, Inc. is widest.

On the headline numbers, annual revenue is $700.0M (FY2025) for Grammarly Inc. and $870.0M (unaudited) (FY2024) for Scale AI, Inc., while their respective market capitalizations stand at N/A and N/A. Both Grammarly Inc. and Scale AI, Inc. are headquartered in United States. Their local markets and applicable rules may still differ.

Grammarly Inc.: Grammarly is one of the most widely used writing tools on the internet. It started as a grammar checker for students, grew to tens of millions of users through a free Chrome extension launched in 2015, and added enterprise plans in 2017. In 2025 the company renamed itself after Superhuman, the email app it acquired. The Grammarly name now refers to the writing product, which sits alongside Superhuman Docs (formerly Coda), Superhuman Mail and the Superhuman Go assistant. The company is headquartered in San Francisco, California. The incredibly dominant AI writing assistant was founded in Ukraine in 2009, aggressively growing from a simple spell-checker into a massive, highly ubiquitous platform that fundamentally alters how the entire corporate world communicates.

Scale AI, Inc.: Scale AI sits between the people who build AI models and the organizations that use them. For labs it provides the human-written examples, rankings and test sets used to train and grade models. For enterprises and governments it builds the applications that put those models to work. The company updated its mission in September 2025 to developing reliable AI systems for the world's most important decisions. The company is headquartered in San Francisco, California.

Grammarly Inc. and Scale AI, Inc. pursue distinct approaches to generating revenue, and understanding how each company operates is the foundation of any fair comparison between Grammarly Inc. and Scale AI, Inc..

Grammarly Inc. business model: Grammarly runs a freemium subscription model. The free browser extension and apps give basic spelling and grammar fixes and pull in tens of millions of users. Revenue comes from people upgrading to the paid individual plan (Premium, later renamed Pro) for full-sentence rewrites, tone changes and more generative AI prompts, and from organizations buying team, business and enterprise plans that add admin controls, style guides, brand tones, analytics and security features. Grammarly for Education sells licenses to schools and universities. Since the 2025 rebrand, the parent company Superhuman also sells Coda/Superhuman Docs, Superhuman Mail and Superhuman Go, and bundles them into suite plans. The company does not publish a revenue breakdown by product or customer type.

Scale AI, Inc. business model: Scale AI earns money in two ways. Its data business charges AI labs and large technology companies for training data, reinforcement learning environments and model evaluations, produced by software pipelines plus a paid contributor network run through Outlier and Remotasks; the company says it has paid contributors more than $1 billion over ten years. Its applications business sells and deploys generative AI systems built on the Scale GenAI Platform and Donovan to enterprises and governments, typically through multi-year contracts. Scale does not publish revenue by segment. It said the data business became profitable in the second half of 2025 and that applications revenue more than doubled in that period.

The durability of a company's moat often decides long-term winners. Here is how the competitive advantages of Grammarly Inc. stack up against those of Scale AI, Inc..

Grammarly Inc. competitive advantage: Grammarly's main advantage is distribution. It runs inside more than 1 million apps and websites through one extension, so users get suggestions in Gmail, Slack, Google Docs, Word or a CRM without copying text into a chatbot. That reach, which the company calls its in-app 'rails', is what Superhuman Go now uses to deliver its own and partner AI agents. The company also has 16 years of feedback on writing suggestions and an established enterprise security and admin setup.

Scale AI, Inc. competitive advantage: Scale's advantages are scale, track record and government access. It has applied what it calls 15 billion human decisions to train leading models across 150 languages and locales, it runs SEAL benchmarks such as Humanity's Last Exam and SWE-Bench Pro that labs cite at launch, and it holds U.S. defense work including the Pentagon's Thunderforge program and two 2025 Department of War awards totaling nearly $200 million. Few data vendors combine frontier-lab data experience with cleared public-sector delivery.

Future prospects matter as much as current results. The growth strategies below explain how Grammarly Inc. and Scale AI, Inc. each plan to expand from here.

Grammarly Inc. growth strategy: Grammarly's strategy since 2023 has been to move from correcting text to doing work for the user. It launched GrammarlyGO generative features in 2023. It agreed to acquire Coda in December 2024 and made Coda co-founder Shishir Mehrotra CEO. It closed the Superhuman Mail acquisition in July 2025 and rebranded the company as Superhuman in October 2025, when it launched Superhuman Go, an assistant that runs first- and third-party agents across apps. In 2026 it added partner agents from Box, Gamma and Wayground to Go, rebuilt Coda as Superhuman Docs, and agreed in June to acquire GPTZero to add AI detection and authenticity tools. General Catalyst's $1 billion in 2025 pays for sales and marketing, so the company's own cash can go to acquisitions.

Scale AI, Inc. growth strategy: Scale's 2026 plan, as described by its leadership, is to move technical capabilities from the data business into applications faster, invest in a unified AI-native platform for enterprise and government customers, and expand abroad. It opened or grew offices in New York, London, Washington, D.C., Doha, St. Louis, Riyadh and Dubai, and partners with Google Cloud, Microsoft, AWS, Inception and Malomatia on Gulf deployments. On the lab side it is building realistic reinforcement learning environments and robotics datasets.

A closer look at the financial trajectory of Grammarly Inc. and Scale AI, Inc. rounds out the comparison.

Grammarly Inc.: Grammarly is private and does not publish audited financial statements. On May 29, 2025, while announcing $1 billion in nondilutive financing from General Catalyst, the company said it had more than $700 million in annual revenue and more than 40 million daily users. The General Catalyst money was structured as capital repaid from revenue generated by the sales and marketing it funds, not as new equity, so the company's last equity valuation is still $13 billion from the November 2021 round led by Baillie Gifford and BlackRock funds. The company was profitable and bootstrapped from 2009 until its first venture round of $110 million in 2017, then raised $90 million in 2019 at a valuation above $1 billion. It has not filed for an IPO.

Scale AI, Inc.: Scale is private and does not publish audited results. Bloomberg reported about $870 million of revenue in 2024 and a target near $2 billion for 2025 before the Meta deal. After OpenAI and Google pulled back, that target looked out of reach, but CEO Jason Droege wrote in early 2026 that 2025 was Scale's biggest revenue year, with more than $1 billion in new business and nearly half of bookings in Q4. The company valued itself at more than $29 billion in the June 2025 Meta transaction, up from $13.8 billion in its May 2024 Series F. Net income has not been disclosed, though Scale says the data business is now profitable. Scale AI is an absolute powerhouse in the artificial intelligence infrastructure sector, providing massive data labeling and RLHF services with a private market valuation of approximately $13.8 billion.