{"id":31760,"date":"2023-03-04T06:00:00","date_gmt":"2023-03-04T14:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=31760"},"modified":"2023-09-14T19:23:59","modified_gmt":"2023-09-15T02:23:59","slug":"infographic-is-ai-the-next-gold-rush","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/03\/04\/infographic-is-ai-the-next-gold-rush\/","title":{"rendered":"Infographic: Is AI the Next Gold Rush?"},"content":{"rendered":"\n

From OpenAI\u2019s ChatGPT to Google’s creation of its own ChatGPT version (Bard), artificial intelligence is set to revolutionize everything in the modern world. How much are corporate investors willing to put their money at risk with AI technology? And which companies get the lion\u2019s share of these investments?<\/p>\n\n\n\n

To answer these questions, our friends over at writerbuddy.ai<\/a> analyzed over 10,000 AI companies and their funding data between 2015 and 2023. The data was collected from CrunchBase, NetBase Quid, S&P Capital IQ, and NFX. Corporate AI investment has risen consistently to the tune of billions. The investment soared from 12.75 billion dollars in 2015 to 93.5 billion dollars in 2021, marking a remarkable 633.33% increase over the six-year period. <\/p>\n\n\n\n

If you compare the change from 2020 to 2021 with the previous 3 years, where AI investment remained almost consistent, the 2020 pandemic accelerated this growth. Although there was a slight drop in investment volumes in 2018, there has been a recurring boost in investment volumes every year since then. And as consulting firms like McKinsey and Delloite continue to fuel the digital transformation craze and AI becomes more accessible, we expect more investors to fund AI-focused\/machine learning operations (MLOps) startups.<\/p>\n\n\n\n

Open AI
<\/strong>The incredible rise of Open AI dominates AI funding. This is a clear sign of the industry’s next giant! OpenAI leads the pack with over $11 billion amassed since its inception, while all the other companies received a combined funding of about $3 billion. However, all 10 of the most funded MLOps startups received over $100 million in funding.<\/p>\n\n\n\n

Anthropic<\/strong><\/p>\n\n\n\n

The next most well-funded AI startup was Anthropic. It was founded by OpenAI\u2019s former employees, who aimed to develop more human-like and safe AI. The company raised $1 billion in funding in three rounds. Google is their most recent investor, with $300 million in funding. <\/p>\n\n\n\n

Scale AI<\/strong><\/p>\n\n\n\n

Scale AI is a data annotation platform that provides high-quality data to train AI models. Founded in 2016, the company has raised $602.6 million, with the most recent investment round amassing $117 million to support 15 AI projects.<\/p>\n\n\n\n

Anyscale<\/strong><\/p>\n\n\n\n

Anyscale is a computing platform that simplifies the development, deployment, and management of Ray applications at scale. Deployed in 2019, the California-based company has secured a total funding of $259 million, with the most recent in August 2022, where they got a $99 million investment. <\/p>\n\n\n\n

Inflection AI<\/strong><\/p>\n\n\n\n

Inflection AI enables developers to train AI models without sharing that data with anyone. The company was co-founded in 2022 by LinkedIn\u2019s co-founder Reid Hoffman and two others. In its first year, the startup raised an impressive $225 million in one round. <\/p>\n\n\n\n

Weights & Biases<\/strong><\/p>\n\n\n\n

Weights & Biases created a developer-first Machine Language Operations platform that offers performance visualization tools for machine learning. The company has raised $200 million since its inception in 2018 and is valued at $1 billion. <\/p>\n\n\n\n

Cohere AI<\/strong><\/p>\n\n\n\n

Cohere AI provides affordable and easy-to-deploy large language models that allow computers to read, write, and understand human requests better. The 2019 company raised $164.9 million from institutional venture capital firms like Index Adventures.<\/p>\n\n\n\n

Hugging Face<\/strong><\/p>\n\n\n\n

Hugging Face develops open-source tools that use machine learning to build applications, like the Transformers library that developers use to create natural language processing applications. The company was founded in 2016 and has raised $160.2 million in five funding rounds. It is currently valued at $2 billion.<\/p>\n\n\n\n

OctoML<\/strong><\/p>\n\n\n\n

OctoML allows developers to deploy machine learning models on any hardware without needing specialized skills. Since the company\u2019s inception in 2019, it has raised $131.9 million in four rounds. Four investors fund OctoML including Madrona Venture Group and Addition.<\/p>\n\n\n\n

AI21 Labs<\/strong><\/p>\n\n\n\n

AI21 Labs created the AI21 Studio, which has language models that rival OpenAI and other natural language processing platforms. As of 2023, AI21 Labs has secured $118.5 million in over six rounds, the latest being $64 million from a Series B round that valued A121 at $664 million.<\/p>\n\n\n\n

\n

\u201cWhile we can\u2019t predict how robust or accurate AI systems will get in the next few years, one thing is certain; the AI race has just begun,” commented a spokesperson for writerbuddy.ai. “Our findings reveal that AI-focused startups have the potential to raise billions in funding, demonstrating corporate investors’ confidence in Artificial Intelligence. Time will tell who will dominate the space, but OpenAI, with the launch of ChatGPT, seems to be doing everything fine.\u201c<\/p>\n<\/blockquote>\n\n\n

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Our friends over at writerbuddy.ai\u00a0analyzed over 10,000 AI companies and their funding data between 2015 and 2023. The data was collected from CrunchBase, NetBase Quid, S&P Capital IQ, and NFX.\u00a0Corporate AI investment has risen consistently to the tune of billions.<\/p>\n","protected":false},"author":10513,"featured_media":22678,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,180,1304,268,56,1],"tags":[437,1254,264,949,96],"acf":[],"yoast_head":"\nInfographic: Is AI the Next Gold Rush? - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2023\/03\/04\/infographic-is-ai-the-next-gold-rush\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Infographic: Is AI the Next Gold Rush? - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Our friends over at writerbuddy.ai\u00a0analyzed over 10,000 AI companies and their funding data between 2015 and 2023. 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