
AI21 Labs
Founded Year
2017Stage
Series C - II | AliveTotal Raised
$317MValuation
$0000Last Raised
$53M | 1 yr agoRevenue
$0000Mosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-51 points in the past 30 days
About AI21 Labs
AI21 Labs operates as an artificial intelligence (AI) lab and product company. The company offers a range of AI-powered tools, including a writing companion tool to assist users in rephrasing their writing and an AI reader that summarizes long documents. It also provides language models for developers to create AI-powered applications. It was founded in 2017 and is based in Tel Aviv, Israel.
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AI21 Labs's Product Videos


ESPs containing AI21 Labs
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The generative AI — large language model (LLM) developers market offers foundation models and APIs that enable enterprises to build natural language processing applications for a number of functions. These include content creation, summarization, classification, chat, sentiment analysis, and more. Enterprises can fine-tune and customize these large-scale language models — which are pre-trained on …
AI21 Labs named as Challenger among 15 other companies, including Google, IBM, and OpenAI.
AI21 Labs's Products & Differentiators
Jurassic-2
Large Language Models
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Research containing AI21 Labs
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned AI21 Labs in 8 CB Insights research briefs, most recently on Jan 8, 2025.


Feb 27, 2024
The generative AI boom in 6 charts
Nov 15, 2023 report
State of AI Q3’23 Report
Oct 12, 2023 report
State of Venture Q3’23 ReportExpert Collections containing AI21 Labs
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
AI21 Labs is included in 6 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
1,261 items
Artificial Intelligence
9,504 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Digital Content & Synthetic Media
2,287 items
The Synthetic Media collection includes companies that use artificial intelligence to generate, edit, or enable digital content under all forms, including images, videos, audio, and text, among others.
AI 100
200 items
Generative AI 50
50 items
CB Insights' list of the 50 most promising private generative AI companies across the globe.
Generative AI
1,298 items
Companies working on generative AI applications and infrastructure.
AI21 Labs Patents
AI21 Labs has filed 16 patents.
The 3 most popular patent topics include:
- computational linguistics
- natural language processing
- tasks of natural language processing

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
1/12/2023 | 10/22/2024 | Natural language processing, Computational linguistics, Tasks of natural language processing, Artificial intelligence applications, Artificial intelligence | Grant |
Application Date | 1/12/2023 |
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Grant Date | 10/22/2024 |
Title | |
Related Topics | Natural language processing, Computational linguistics, Tasks of natural language processing, Artificial intelligence applications, Artificial intelligence |
Status | Grant |
Latest AI21 Labs News
Feb 19, 2025
Artificial intelligence that challenges chatgpt and deepseek Table of Contents Elon Musk’s AI company, XAI, has unveiled Grok 3, the latest iteration of its ambitious conversational AI. This powerful chatbot is designed to challenge the dominance of established players like ChatGPT and China’s Deepseek in the rapidly evolving field of artificial intelligence. Musk, known for his bold pronouncements, described Grok 3 as “terrifyingly bright,” highlighting its tenfold increase in computational power compared to its predecessor launched last year. This significant leap in processing capabilities is crucial for tackling complex tasks and generating more nuanced responses. One of Grok 3’s key strengths lies in its self-correction mechanisms, which aim to minimize “hallucinations” – a common issue in AI chatbots where they generate false or misleading information as factual. By continuously learning and refining its understanding, Grok 3 strives to deliver more accurate and reliable results. Early tests have shown promising results, with Grok 3 reportedly outperforming existing AI models in various benchmarks. Musk expressed confidence in its potential, stating that the chatbot is demonstrating a “good sign” in its ability to handle complex reasoning tasks. This launch comes at a time when the AI landscape is becoming increasingly competitive. Deepseek, backed by considerable Chinese investment, has made waves with its R1 platform, which has reportedly achieved comparable performance to OpenAI’s GPT-4 in certain areas. Meanwhile, OpenAI continues to lead the market with ChatGPT and its integration into Microsoft products. The race for AI supremacy is intensifying,with companies vying for dominance in this rapidly evolving field. Grok 3’s entry into the fray adds another layer of complexity to this already dynamic competition. The success of Grok 3 will depend on its ability to deliver on its promises of accuracy,reliability,and advanced reasoning capabilities. Only time will tell if it can truly challenge the established players and reshape the future of conversational AI. The New Challengers: AI Models Beyond ChatGPT & deepseek while ChatGPT and DeepSeek have undoubtedly made a meaningful impact on the AI landscape, they are far from the onyl players in the game. A new wave of artificial intelligence (AI) models is rapidly emerging, pushing the boundaries of what’s possible in natural language processing (NLP) and challenging the status quo. This article delves into some of these exciting contenders, highlighting their unique capabilities and potential applications. Understanding the Landscape Before we dive into specific models, let’s take a moment to understand the evolving AI landscape. The rapid advancements in deep learning, particularly transformer architectures, have fueled the growth of increasingly elegant language models. These models are trained on massive datasets of text and code, enabling them to perform a wide range of tasks, including: Text Generation: Crafting creative content, writing stories, poems, and articles. Language Translation: Accurately translating text between languages. Conversation & Chatbots: Engaging in natural-sounding conversations with humans. Summarization & Analysis: Condensing large amounts of text and extracting key insights. Code Generation & Debugging: Assisting developers in writing and troubleshooting code. Emerging AI Powerhouses Let’s explore some of the notable AI models that are gaining traction and posing serious competition to established players: 1. BLOOM: It boasts multilingual capabilities, supporting 46 different languages. BLOOM’s open nature fosters transparency and encourages community-driven development. 2. StableLM: Backed by Stability AI, StableLM is another open-source contender known for its reliable performance and safety considerations. It comes in various sizes, allowing users to choose the model that best suits their needs. StableLM emphasizes responsible AI development, focusing on mitigating potential biases and risks. 3. LaMDA (Language Model for Dialog Applications): Developed by Google AI, LaMDA is specifically designed for creating conversational AI agents. It excels in generating human-like dialogue and understanding complex context. Google has integrated LaMDA into its experimental chatbot, Bard. 4. GPT-NeoX-20B: From EleutherAI, GPT-NeoX-20B is an open-source model known for its extraordinary text generation capabilities. It’s trained on a massive dataset of text and code, making it versatile for various NLP tasks. 5.Jurassic-1 Jumbo: Developed by AI21 Labs, Jurassic-1 Jumbo is a powerful language model known for its strong reasoning and comprehension abilities. It can tackle complex tasks like question answering, summarization, and text classification with accuracy. Benefits & Practical Applications Enhanced Customer Service: Create intelligent chatbots that provide swift and efficient support 24/7. Streamlined Content creation: Accelerated Research: Analyze large datasets of text to uncover insights and accelerate scientific discoveries. Personalized Education: Tailor learning experiences to individual student needs and learning styles. Improved Accessibility: Case Studies: Real-World Impact Healthcare: Using AI to analyze patient records,assist in diagnosis,and accelerate drug finding. Finance: Detecting fraud, automating financial tasks, and providing personalized financial advice. Retail: Personalizing product recommendations, optimizing pricing strategies, and improving customer service through chatbots. * Education: Creating interactive learning experiences, providing personalized feedback to students, and automating administrative tasks. | Company | AI Model | Request | | Stability AI | StableLM | Open-source text generation and chatbot development | | OpenAI | GPT-3 | Text generation, code completion, and creative writing | | AI21 Labs | Jurassic-1 Jumbo | Text summarization, question answering, and content creation | First-Hand Experience: My Encounter with BLOOM In my exploration of these AI models, I had the opportunity to interact with BLOOM. Its multilingual capabilities were impressive, allowing me to communicate in multiple languages with ease. While still under development, BLOOM demonstrated its potential for breaking down language barriers and fostering global communication. The Future of AI: The landscape of AI is constantly evolving,with new models and breakthroughs emerging at a rapid pace.As these models continue to improve in capabilities and accessibility, we can expect to see even more transformative applications across all facets of our lives. Share this:
AI21 Labs Frequently Asked Questions (FAQ)
When was AI21 Labs founded?
AI21 Labs was founded in 2017.
Where is AI21 Labs's headquarters?
AI21 Labs's headquarters is located at 14 Leonardo da Vinci, Floor 4, Tel-Aviv.
What is AI21 Labs's latest funding round?
AI21 Labs's latest funding round is Series C - II.
How much did AI21 Labs raise?
AI21 Labs raised a total of $317M.
Who are the investors of AI21 Labs?
Investors of AI21 Labs include Ahren, Intel Capital, Comcast Ventures, Pitango Venture Capital, Walden Catalyst Ventures and 12 more.
Who are AI21 Labs's competitors?
Competitors of AI21 Labs include Together AI, Anthropic, LightOn, Writer, OpenAI and 7 more.
What products does AI21 Labs offer?
AI21 Labs's products include Jurassic-2 and 2 more.
Who are AI21 Labs's customers?
Customers of AI21 Labs include Latitude.
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Compare AI21 Labs to Competitors

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DeepSeek focuses on the development of artificial general intelligence (AGI) within the technology sector. The company offers a platform that facilitates easy API calls for integrating AI capabilities and a chat interface for exploring AGI applications. DeepSeek's products are designed to serve as efficient AI assistants for various user needs. It was founded in 2023 and is based in Hangzhou, China.
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