OpenAI is a non -profit research company with a big mission to ensure that AI will benefit to all humanity. But as with all other lucrative industries, there is also a high competition.

You’ve probably heard about one of the most famous AI product , chatGPT, which has a fully- functioning version of it been available to the public.

Needless to say that, there is a lot of money in artificial intelligence. But, as with all the economic functions, there are also many Challengers of OpenAI available in the market.

List of the OpenAi Competitors :

Here are some main competitors of openAi

● Deep Mind

● OneAI

● Hugging face

● DeepAI

● GoogleAI

● Amazon Web Service

● Facebook AI Research

1.Deep Mind :

Deep Mind is an artificial intelligence laboratory founded in 2010 and headquartered in London, UK. In 2014, it was acquired by Google, and today, it is a full subsidiary of Alphabet, Inc.

Deep Mind gained recognition when it’s AI program, AlphaGo, defeated the world champion Go player, Lee Sedol, in 2016. The victory demonstrate the high potential of deep reinforcement learning in complex gaming.

Since then Deep Mind has continued to contribute in the field of AI. Unlike OpenAI, DeepMind does not sell it’s services and products directly to companies and consumers; it’s revenue generated through Alphabet, which invest money in research. This is an unusual revenue model, it’s more common in this industry.

The company focus on the following areas :

Deep learning

• Theory and foundations

• Neuroscience

• Control and robotics


OneAI’s mission is to “bring human-level language AI to everyday life”. It’s a privately held company headquartered in San Francisco and Tel Aviv. Not like Deepmind, which focuses primarily on research, OneAI focuses on selling it’s products to other companies; this is what it’s website is geared towards.

OneAI also has the option of ChatGPT integration. When companies are commited to share the knowledge, OpenAI find that they have a better relation with their customers, who tend to be pretty loyal.

OneAI opts for a subscription revenue model. Customers can choose to pay annually or monthly.

3.Hugging Face :

Hugging Face, Inc. is an American artificial intelligence company founded in 2016, headquartered in New York City. The company focuses on developing tools for building applications using Machine learning. It is well known for it’s Natural Language Processing applications ( making it a key competitor of OneAI) and it’s platform encourages users to share machine learning datasets and models.

Hugging face has more than a few impressive customers, including Intel, Grammarly, GoogleAI, Microsoft, and SpeechBrain.

Hugging face has gained significant popularity and support from the AI community due to its user friendly interference and commitment to open -source collaboration.

Similarly to OpenAI, Hugging face opts for a subscription revenue model for most services. Hugging Face does not publicly disclose it’s revenue figures; however, Forbes confirmed that the company generated $10 million in 2021.

4. DeepAI :

Hugging face and OpenAI are about commercial producitivity while DeepAI provides artificial intelligence tools for creativity. It is a private company founded in 2017, and it’s headquarters are in San Francisco.

DeepAI’s suite of APIs is free for the general public to access(up to a point ) and includes the following:

• Image generator

• Image editor

• Toonify

•Fantasy world generator

• Text generator

• Image colorizer

• Deep dream

• Super-resolution

• Image Similarity

Now the question arise how the company makes money since anyone can go on the DeepAI website and generate an AI image. Well, that’s a clever bit. API’s are free up to a point but if one wants to use them extensively, they’ll have to pay for it.

5. Google AI

Google AI is a division of Google. It’s tagline is “advancing AI for everyone”- a common theme among almost all the companies.

Since Google is an information and a technology company, being in a game of AI is vital, if not for revenue, then certainly for maintaining it’s global reputation as a leader in all tech things.

Google AI’s key projects are as follows :

• Developing TensorFlow


• Magenta

• Sycamore

• Serving cloud-based TPUs

• Tensor Processing Unit (TPU)

Given that Google has many subsidiaries, it is quite impossible to predict how much revenue is generating through AI.

Amazon Web Services :

Amazon AI encompasses a range of artificial intelligence technologies and services provided by Amazon. Amazon has heavily invested in AI development.

One major application of Amazon AI is Amazon Alexa, the voice-activated intelligent personal assistant. Alexa can understand and respond to voice commands, provide information, control smart home devices, play music and perfom various tasks. With the help of devices such as Amazon Eco, Alexa has become a universally present device in many households.

Amazon Polly, an AI-powered text-to-speech service offers speech synthesis. By converting written text into spoken words. Polly enables developers to create applications that can interact with users through speech.

Another popular AI service is Amazon Rekognition. Rekognition enables the analysis and identification of objects, scenes, and faces in images and videos. This technology has wide range of usage, including facial recognition for security purposes and content moderation on social media platforms.

These examples highlights depths of Amazon’s AI offerings. The company continues to push the boundaries of AI research and development and enabling businesses and customers to benefit from the AI.

Facebook AI Research (FAIR) :

Facebook AI Research (FAIR) is a research division of Facebook, dedicated to advancing the field of artificial intelligence through research and development of AI technologies. FAIR aims to push the boundaries of AI, addressing research questions while also focusing on practical applications and their impact on society.

One of the notable contributions of Facebook AI research is in the field of computer vision. FAIR has also done significant strides in areas like video understanding and 3D scene understanding.

FAIR has contributed in the development of language models and NLP techniques that have achieved state-of-the-art results in tasks like language understanding, machine learning and question answering.

In addition to research, FAIR also collaborated with various teams within the Facebook to apply AI technologies to their services and products.

It’s important to note that competition in the field of AI is dynamic and the landscape can change rapidly. New startups, and evolving market demands can all contribute to the emergence of new challengers for OpenAI.

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