糖心视频

One in five of the new billion-dollar startups to join The Crunchbase 糖心视频 this year were artificial intelligence companies, an analysis of the board shows.

The that joined as of Q3 2023 collectively added $21 billion in value to the board and were dominated by generative AI companies in text, translation, video, coding and human computer interaction.

These 15 companies are a small proportion of the tagged with AI on the unicorn board, as funding to this sector has grown over the past decade.

The board鈥檚 top three most valuable private companies in the AI sector are: AI cloud data company , valued at $43 billion in its 2023 funding, an increase of $5 billion from its value in 2021; autonomous driving startup , last valued at $30 billion; and generative AI firm , with a $29 billion valuation.

Despite fervent investor interest in AI, the number of new unicorns in 2023 has dropped precipitously year over year.

Let鈥檚 look at companies in the AI sector that became unicorns in 2023.

Large language models

• Description: Large language model developer for enterprises
• Headquarters: Toronto
• Year founded: 2019
• Last valuation: $2.2B
• Total funding raised: $435M
• Funding stage: Series C
• Lead investors: , ,

• Description: Large language model developer
• Headquarters: Beijing, China
• Year founded: 2019
• Last valuation: $1.6B
• Total funding raised: $342M
• Funding stage: Late
• Lead investors: , , , ,

• Description: Large language model company
• Headquarters: Tel Aviv, Israel
• Year founded: 2017
• Last valuation: $1.4B
• Total funding raised: $274M
• Funding stage: Series C
• Lead investors: , , , , ,

• Description: Generative AI tool
• Headquarters: Beijing
• Year founded: 2023
• Last valuation: $1.2B
• Total funding raised: $280M
• Funding stage: Acquired
• Lead investors: ,

• Description: AI research lab
• Headquarters: San Francisco
• Year founded: 2021
• Last valuation: $1B
• Total funding raised: $232M
• Funding stage: Series B
• Lead investor:

Video

• Description: AI generative video
• Headquarters: New York City
• Year founded: 2018
• Last valuation: $1.5B
• Total funding raised: $237M
• Funding stage: Series C
• Lead investors: , , , 1,

• Description: AI generative video company
• Headquarters: London
• Year founded: 2017
• Last valuation: $1B
• Total funding raised: $157M
• Funding stage: Series C
• Lead investors: , , ,

ML Ops

• Description: Cloud infrastructure company that pivoted from Ethereum mining
• Headquarters: Roseland, New Jersey
• Year founded: 2017
• Last valuation: $2.4B
• Total funding raised: $427M
• Funding stage: Series B
• Lead investors: ,

Analytics

• Description: AI data analytics
• Headquarters: London
• Year founded: 2016
• Last valuation: $1.8B
• Total funding raised: $370M
• Funding stage: Series E
• Lead investors: ,, , , ,

AI platforms

• Description: A developer platform that uses AI to complete code
• Headquarters: San Francisco
• Year founded: 2016
• Last valuation: $1.2B
• Total funding raised: $202M
• Funding stage: Series B
• Lead investors: , , ,

• Description: AI language translation
• Headquarters: Cologne, Germany
• Year founded: 2009
• Last valuation: $1.1B
• Total funding raised: $100M
• Funding stage: Series B
• Lead investors: , ,

• Description: AI for human and computer interaction
• Headquarters: San Francisco
• Year founded: 2022
• Last valuation: $1B
• Total funding raised: $415M
• Funding stage: Series B
• Lead investors: , , ,

• Description: Large language models for conversation
• Headquarters: Menlo Park, California
• Year founded: 2021
• Last valuation: $1B
• Total funding raised: $150M
• Funding stage: Series A
• Lead investors:

• Description: AI content creation platform for enterprises
• Headquarters: San Francisco
• Year founded: 2022
• Last valuation: $1B
• Total funding raised: $165M
• Funding stage: Series B
• Lead investors: , <2/li>

Defense

• Description: AI software defense tech company
• Year founded: 2021
• Headquarters: Berlin
• Last valuation: $1.8B
• Total funding raised: $341M
• Funding stage: Series B
• Lead investors: ,

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