AI is eating the world this time around. We see another hype (?), an inflow of startups building in AI. In San Francisco, you no longer ask, ‘What do you do?‘ but ‘What AI meet-up do you go to?’. Next to an uncounted number of startups popping up on the market, there are also corporate initiatives showing off new advancements in AI. Below are a few examples of the companies quite well known on the market, as well as their founders because for me, it’s all about the people who are behind those companies, about the drive and motivation to bring it to the market, and not just about the technology itself.

Google’s BERT: BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained language model developed by Google. It is designed to understand the context and meaning of words in a sentence, making it useful for various natural language processing tasks.

Microsoft’s GPT-3: Microsoft has developed its own version of GPT-3, a language model that can generate human-like text. Microsoft’s version is still in the early stages of development, but it shows promise for various applications.

Facebook’s RoBERTa: RoBERTa (Robustly Optimized BERT Approach) is a language model developed by Facebook. It is similar to BERT in many ways but has been optimized for a wide range of natural language processing tasks.

Amazon’s Alexa: While not strictly a language model, Amazon’s Alexa is a popular voice assistant that uses natural language processing to understand user commands and respond appropriately. It competes with other voice assistants like Apple’s Siri and Google Assistant.

IBM Watson: IBM Watson is a suite of AI tools designed to help businesses make sense of large amounts of data. It includes natural language processing capabilities to help businesses analyze customer feedback and other unstructured data.

Hugging Face, founders Cl?ment Delangue and Sylvain Gugger: it’s a startup company focused on developing and providing state-of-the-art natural language processing tools and models. They offer an open-source library called “Transformers” that provides a wide range of pre-trained language models for tasks such as text classification, question-answering, and language generation. In addition to the library, Hugging Face has also developed an AI-powered chatbot called “EleutherAI“(more details below) that can engage in natural language conversations with users. They have also created an online platform called “Hugging Face Spaces” that allows users to easily build and deploy their own chatbots using pre-trained models from the Transformers library. Furthermore, Hugging Face has partnered with various organizations to integrate their language models and tools into different applications. For example, they have collaborated with Microsoft to integrate their language models into Microsoft’s Power Platform, which is used for developing business applications. They have also partnered with Intel to optimize their models for deployment on Intel hardware.

EleutherAI (as mentioned above): it’s a community-driven research organization that is focused on developing open-source natural language processing (NLP) models and tools. The organization was founded in 2020 by a group of NLP researchers and enthusiasts who wanted to democratize access to state-of-the-art language models. The main project of EleutherAI is called “GPT-Neo“, which is an open-source implementation of the popular language model GPT-3 developed by OpenAI. GPT-Neo is trained on massive amounts of text data and can perform a wide range of NLP tasks, such as language generation, text completion, and question answering. However, unlike GPT-3, which is a proprietary model owned by OpenAI, GPT-Neo is open-source and freely available for anyone to use and modify. In addition to GPT-Neo, EleutherAI has also developed other open-source NLP tools and models, such as a language model called “GPT-Orthogonal” that is designed to be more interpretable and transparent than other language models. EleutherAI is focused on advancing the field of NLP through open collaboration and community-driven research. Their goal is to make cutting-edge NLP technology more accessible and transparent, and to encourage a more open and democratic approach to AI research and development.

Gradient, co-founded by William Morgan, Robert Nishihara, and Ion Stoica, who are also the creators of the open-source machine learning framework, Ray: it’s a machine learning platform and infrastructure provider that aims to make it easier for developers and data scientists to build, train, and deploy machine learning models. Gradient was developed by Paperspace, a New York-based startup company that was founded in 2014. The Gradient platform provides a range of tools and services for machine learning, including pre-built libraries, APIs, and development tools. It also offers managed infrastructure for training and deploying machine learning models, which can be scaled up or down as needed. Gradient supports a wide range of machine learning frameworks, including TensorFlow, PyTorch, and Keras, among others. In addition to the platform, Gradient also offers a range of services and support for machine learning development, such as consulting, training, and customized solutions. They also offer a marketplace for pre-built machine learning models, which can be used as a starting point for new projects or integrated into existing applications. Gradient is focused on making machine learning more accessible and user-friendly for developers and data scientists. Their platform and services are designed to help companies of all sizes build and deploy machine learning models more quickly and efficiently, without needing to manage complex infrastructure or worry about scaling issues. These companies also offer AI-powered language models and NLP technologies, but each has its own unique features and specialties.

UiPath, founded by Daniel Dines and Marius Tirca: it’s a software company that provides a platform for robotic process automation (RPA). RPA is a technology that allows businesses to automate repetitive and rule-based tasks that are typically performed by humans. UiPath’s platform enables businesses to create software robots, or “bots”, that can automate a wide range of tasks across different applications and systems. UiPath’s platform is designed to be easy to use, even for non-technical users. It includes a drag-and-drop interface for creating bots, as well as pre-built templates and libraries for common automation tasks. The platform also includes tools for managing and monitoring bots, as well as analytics and reporting features. UiPath’s platform can be used for a wide range of applications, such as data entry, document processing, and customer service. The platform can integrate with a wide range of applications, including SAP, Salesforce, and Oracle, among others. In addition to its platform, UiPath also offers training and certification programs for RPA developers and professionals. They also offer consulting and implementation services to help businesses get started with RPA and optimize their automation workflows. UiPath is focused on helping businesses automate repetitive and time-consuming tasks, allowing their employees to focus on more strategic and high-value work. Their platform and services are designed to be easy to use and scalable, making it accessible to businesses of all sizes and industries.

Instabase, founded by Anant Bhardwaj: it’s a software company that provides a platform for building and deploying business applications. Their platform includes a wide range of tools and services for automating and optimizing business workflows, such as data extraction, document processing, and workflow automation. At its core, the Instabase platform is designed to make it easier for non-technical users to build and deploy applications. The platform includes a visual interface for creating workflows and automating tasks, as well as pre-built templates and integrations for common business applications, such as human resources, finance, and operations. One of the key features of the Instabase platform is its ability to extract data from a wide range of sources, including structured and unstructured data. This data can then be used to automate workflows and processes, such as invoice processing, data entry, and document analysis. In addition to its platform, Instabase also offers consulting and implementation services to help businesses get started with the platform and optimize their workflows. They also offer a range of APIs and developer tools for building custom integrations and applications on top of the Instabase platform. Instabase is focused on helping businesses automate and optimize their workflows, allowing them to work more efficiently and effectively. Their platform is designed to be easy to use and accessible to non-technical users, while also offering advanced features and customization options for more technical users.

Vicarious, founded by Dileep George and Scott Phoenix.: Vicarious is a startup company that is developing artificial intelligence (AI) technology with the goal of creating a general-purpose, human-level AI. The company was founded in 2010 by Dileep George and Scott Phoenix, both of whom are experienced AI researchers. Vicarious is focused on developing AI algorithms that can learn from limited amounts of data, much like humans can. The company’s approach is based on a combination of deep learning and neuroscience, which they believe can help create more robust and adaptable AI systems. One of the key applications of Vicarious’ technology is in robotics. The company has developed a system called the “Vicarious Cortex” that can be used to control robots and enable them to perform complex tasks, such as object recognition and manipulation. Another application of Vicarious’ technology is in computer vision, where their algorithms have shown promise in recognizing and understanding images and video. The company has also applied their technology to natural language processing, with the goal of creating AI systems that can understand and generate human-like language. Vicarious is focused on developing advanced AI technology that can perform tasks that are currently beyond the capabilities of traditional machine learning algorithms. Their ultimate goal is to create a general-purpose AI that can learn and adapt to new tasks and environments, much like humans can.

Dataminr, founded by Ted Bailey, Jeff Kinsey, and Sam Hendel: Dataminr is a software company that specializes in real-time information discovery and analysis. Their platform is designed to help businesses and organizations monitor and analyze real-time data from a wide range of sources, including social media, news, and other public data feeds. One of the key features of the Dataminr platform is its ability to detect and alert users to events and trends as they unfold in real-time. The platform uses machine learning algorithms to analyze large amounts of data and identify relevant information, such as breaking news, emerging trends, and potential risks. The Dataminr platform is used by a wide range of organizations, including government agencies, financial institutions, and media companies. It can be used for a variety of applications, such as risk management, crisis response, and market intelligence. In addition to its platform, Dataminr also offers consulting and training services to help businesses and organizations get the most out of their real-time data analysis. They also offer a range of APIs and developer tools for building custom integrations and applications on top of the Dataminr platform. Dataminr is focused on helping businesses and organizations stay informed and make better decisions in real-time. Their platform is designed to be scalable and flexible, making it accessible to businesses of all sizes and industries.

C3.ai, founded by Thomas M. Siebel: C3.ai is a software company that specializes in enterprise artificial intelligence (AI) software applications. The company was founded in 2009 by Thomas Siebel, who is also the founder of Siebel Systems, a leading customer relationship management software company. C3.ai’s platform is designed to help businesses and organizations harness the power of AI to drive digital transformation and improve operational efficiency. The platform includes a range of AI applications and tools for areas such as predictive maintenance, fraud detection, supply chain optimization, and energy management. One of the key features of the C3.ai platform is its ability to ingest and analyze large amounts of data from disparate sources, such as sensors, machines, and enterprise systems. The platform uses machine learning algorithms and other AI techniques to extract insights from this data and make predictions about future outcomes. The C3.ai platform is used by a wide range of industries, including manufacturing, energy, financial services, and healthcare. The company also offers consulting and training services to help businesses and organizations get the most out of their AI deployments. In addition to its core platform, C3.ai has also developed a suite of pre-built AI applications that can be deployed quickly and easily. These applications are designed to address specific business challenges and can be customized to meet the needs of individual organizations. Overall, C3.ai is focused on helping businesses and organizations leverage the power of AI to drive innovation, improve efficiency, and create new opportunities for growth. Their platform is designed to be flexible, scalable, and accessible, making it suitable for organizations of all sizes and industries.

Cognitivescale, founded by Akshay Sabhikhi and Matt Sanchez: Cognitivescale is a software company that specializes in artificial intelligence (AI) and machine learning (ML) software applications. The company was founded in 2014 by entrepreneurs who have extensive experience in the field of cognitive computing. Cognitivescale’s platform is designed to help businesses and organizations implement AI and ML solutions at scale. The platform includes a range of pre-built AI and ML models and tools, as well as APIs and developer tools for building custom solutions. One of the key features of the Cognitivescale platform is its ability to automate complex business processes and workflows. The platform uses AI and ML algorithms to analyze data and identify patterns and insights that can help streamline operations and improve efficiency. The Cognitivescale platform is used by a range of industries, including financial services, healthcare, and retail. The company’s solutions can be used for a variety of applications, such as fraud detection, risk management, customer engagement, and supply chain optimization. In addition to its core platform, Cognitivescale also offers consulting and training services to help businesses and organizations get the most out of their AI and ML deployments. The company has a team of AI and ML experts who work closely with clients to understand their unique needs and develop custom solutions that meet their specific requirements. Cognitivescale is focused on helping businesses and organizations harness the power of AI and ML to drive innovation, improve efficiency, and create new opportunities for growth. Their platform is designed to be flexible, scalable, and accessible, making it suitable for organizations of all sizes and industries.

Persado, founded by Alex Vratskides and Assaf Baciu: Persado is a software company that specializes in artificial intelligence (AI) powered language optimization for marketing and advertising. The company was founded in 2012 and has since developed a platform that uses machine learning algorithms to help businesses and organizations improve the effectiveness of their marketing messages. Persado’s platform is designed to help businesses and organizations optimize their language in order to drive better results from their marketing campaigns. The platform uses machine learning algorithms to analyze data and identify the most effective language and messaging for specific audiences. One of the key features of the Persado platform is its ability to generate language that is tailored to the specific needs and preferences of individual consumers. The platform uses natural language generation (NLG) algorithms to create language that resonates with each individual consumer, based on their past behavior and interactions with the business or organization. The Persado platform is used by a range of industries, including retail, financial services, and healthcare. The company’s solutions can be used for a variety of applications, such as email marketing, digital advertising, and social media marketing. In addition to its core platform, Persado also offers consulting and training services to help businesses and organizations get the most out of their language optimization efforts. The company has a team of language experts and data scientists who work closely with clients to understand their unique needs and develop custom solutions that meet their specific requirements. Persado is focused on helping businesses and organizations improve the effectiveness of their marketing and advertising efforts through AI-powered language optimization. Their platform is designed to be flexible, scalable, and accessible, making it suitable for organizations of all sizes and industries.

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