AI21 Labs

Last updated
AI21 Labs
IndustryAI
Founded2017;7 years ago (2017)
Founder Yoav Shoham, Ori Goshen, Amnon Shashua
Headquarters
Tel Aviv
ProductsJurassic-1
Jurassic-2
Wordtune
Website ai21.com

AI21 Labs is an Israeli company specializing in Natural Language Processing (NLP), which develops AI systems that can understand and generate natural language. [1]

Contents

History

AI21 Labs was founded in November 2017 by Yoav Shoham, Ori Goshen, and Amnon Shashua in Tel Aviv, Israel. [2] [3]

In January 2019, the company raised $9.5 million from investors in a seed funding round. [4] On October 27, 2020, AI21 Labs launched its first product, Wordtune, an AI-based writing assistant that understands context and can suggest paraphrases and rewrites. [5] [6] [7] Google named Wordtune one of its favorite extensions of 2021. [8] In August 2021, the company launched AI21 Studio. [9] [10] [1] In the same month, Jurassic-1, a natural language processing system, was launched with a token vocabulary over 250,000. [11] [12] [13] [14]

In November 2021, Walden Catalyst announced an investment of $20 Million in AI21 Labs. [15] [16] Later that month, AI21 Labs completed a $25 million series A round led by Pitango First. [17] In July 2022, the company raised $64 million in a series B funding round led by Ahren with the participation of prof. Amnon Shashua, Walden Catalyst, Pitango, TPY Capital, and Mark Leslie. [9] [18] [19]

On January 17, 2023, AI21 Labs announced the launch of Wordtune Spices, [20] a generative AI tool that generates a range of text options that can enhance sentences. [21] [1] [22]

On March 9, 2023, the company announced the release of Jurassic-2, claiming it has better response times, understands more languages, and features advanced instruction following. [23]

On August 31, 2023, the company announced the closing of $155 million Series C financing round. Investors include previous participants, alongside new ones such as Google and Nvidia. [24] [25]

On March 29, 2024 the company released Jamba, an open weights large language model built on a hybrid Mamba SSM transformer using mixture of experts with up to 256k context. [26]

See also

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