Clarifai
Clarifai Inc. is an artificial intelligence (AI) company that specializes in computer vision and uses machine learning and deep neural networks to identify and analyze images and videos. The company offers its solution via API, mobile SDK, and on-premise solutions.
Type | Private |
---|---|
Industry | Computer Vision |
Founded | 2013 (New York City) |
Headquarters | , U.S. |
Area served | Worldwide |
Key people | Matthew Zeiler (Founder & CEO) |
Number of employees | 90+ |
Website | clarifai |
Clarifai is headquartered in New York City with two satellite offices in San Francisco and Washington D.C.
History
Clarifai was founded in 2013 by Matthew Zeiler, a Ph.D. student who recently placed in the top 5 spots of the 2013 ImageNet Challenge.[1][2][3] Initially, the company offered free and paid versions of image and video recognition via their API and a consumer-facing iPhone app called Forevery.[4][5] In 2014 Style Me Pretty, a wedding lifestyle website which used the technology to provide images that are personally adapted to the user, became Clarifai's first customer.[6]
In 2016, Clarifai released version 2 of their API, adding custom training and visual search to its platform.[7][8]
In 2017 the company moved all research work to a San Francisco office and all government-related endeavors to an office in Washington D.C.[9] Later that year, the company announced a mobile SDK, which allowed users to run their platform without an internet connection.[10][11][12] In 2018 Clarifai released an on-premise solution.[13] In 2019, Clarifai opened a new office in Estonia's capital city Tallinn.[14]
Funding
In 2015, Clarifai raised $10 million in its Series A funding round, led by Union Square Ventures (USV).[15] After the 2016 launch of their v2 API, Menlo Ventures led their $30 million Series B round, with participation from USV, Lux Capital, and Osage University Partners.[16]
Technology
The core of Clarifai's technology is based on convolutional neural networks, which Zeiler focused on for his PhD work.[17] It is a process which enables a computer to learn from data examples and draw its own conclusions, giving applications the ability to predict correct tags for images or videos.
The platform includes the ability to moderate content, perform visual search, visual similarity, and organize media collections. It has pre-built recognition models that can identify a specific set of concepts like food or travel, NSFW, and its general model which can identify a range of concepts including objects, ideas, and emotion.[18] It also has the ability to create custom models which can identify other arbitrary objects such as cars or breeds of dogs.[19] The 2018 Model 1.5 with machine-labeled datasets claims to recognize up to 11,000 concepts from object detection, as well as things like mood or theme.[20]
Clients
In 2017 Clarifai had about 100 customers and its technology was used by Unilever, Ubisoft, BuzzFeed, and also by companies producing medical devices and drones.[6]
Military work
In 2018 Zeiler disclosed that the company was a participant in Project Maven, a US Department of Defense AI program.[21] The disclosure, in a blog post on the company website, came after a Wired story reported that a former employee had filed a wrongful termination suit. The suit alleged that she was dismissed for requesting that Clarifai disclose a 2017 server compromise to the Pentagon and other customers.[22] Zeiler asserted (in a company blog, posted on June 13, 2018, in response to the server-breach controversy) that the breach involved only "an isolated research server", and that customers were notified following an external security audit.[21] In late January, 2019, several Clarifai employees posted an open letter on a company message board expressing concerns that the June 13 blog-post of Zeiler’s contained implications of Clarifai’s complicit involvement with potentially unethical uses of AI technology, e.g. automated warfare. These allegations are part of the societal concern over the ethical development and use of AI, which has been growing alongside the pace of AI’s advancement. [23]
Awards
Deloitte named Clarifai as one of the 500 fastest growing technology companies in 2019.[24]
References
- Tilley, Aaron. "Every AI Powerhouse Wanted This Whiz Kid. He's Taking Them on Instead". Forbes. Retrieved January 31, 2018.
- "How Matthew Zeiler Created 'Clarifai' – The Image And Video Recognition API For Building Smart Apps". CrazyEngineers. Retrieved January 31, 2018.
- Gershgorn, Dave. "The data that transformed AI research—and possibly the world". Quartz. Retrieved May 22, 2018.
- "The AI Startup Google Should Probably Snatch Up Fast". WIRED. Retrieved May 22, 2018.
- Hernandez, Daniela. "This app will actually make you look at your millions of forgotten photos". Splinter. Retrieved June 7, 2018.
- Tilley, Aaron. "Every AI Powerhouse Wanted This Whiz Kid. He's Taking Them On Instead". Forbes. Retrieved June 17, 2020.
- "Clarifai Wants You to Correct AI's Biggest Gaffes". WIRED. Retrieved May 22, 2018.
- "Deep learning startup Clarifai raises $30 million". VentureBeat. October 25, 2016. Retrieved May 22, 2018.
- "Visual search startup Clarifai beefs up its AI team with a new San Francisco office – TechCrunch". techcrunch.com. Retrieved May 22, 2018.
- "AI company Clarifai says its new face recognition technology won't be racist". Fast Company. May 1, 2017. Retrieved May 22, 2018.
- "How Machine-Learning AI Is Going To Make Your Phone Even Smarter". Fast Company. July 12, 2017. Retrieved May 22, 2018.
- "Clarifai launches SDK for training AI on your iPhone". VentureBeat. July 12, 2017. Retrieved May 22, 2018.
- "Clarifai rolls out an on-premise visual search tool for businesses – TechCrunch". techcrunch.com. Retrieved May 22, 2018.
- "Clarifai Expands its Global Presence with a New Office in Tallinn, Estonia". MarTech Series. February 11, 2020. Retrieved June 3, 2020.
- "Deep-learning startup Clarifai gets $10M to make business hires, add features". VentureBeat. April 28, 2015. Retrieved May 22, 2018.
- "Clarifai raises $30M to give developers visual search capabilities – TechCrunch". techcrunch.com. Retrieved May 22, 2018.
- Zeiler, Matthew D.; Fergus, Rob (November 12, 2013). "Visualizing and Understanding Convolutional Networks". arXiv:1311.2901 [cs.CV].
- "Models". Clarifai. Retrieved May 22, 2018.
- "Clarifai Raises $30 Million to Innovate Artificial Intelligence for Everyone". Techvibes. Retrieved May 22, 2018.
- "Clarifai improves General Model 1.5 with machine-labeled datasets". VentureBeat. October 4, 2018. Retrieved November 19, 2018.
- Zeiler, Matthew (June 14, 2018). "Why We're a Part of Project Maven". Clarifai. Archived from the original on July 8, 2018. Retrieved July 8, 2018.
- Simonite, Tom (June 12, 2018). "Startup Working on Contentious Pentagon AI Project was Hacked". Wired. Retrieved July 8, 2018.
- Is Ethical A.I. Even Possible? The New York Times, 2019
- "2019 Technology Fast 500™ Ranking" (PDF). Deloitte. 2019. Retrieved June 4, 2020.