The Generative AI Market Map: 335 vendors automating content, code, design, and more

For instance, Open AI’s ChatGPT can generate video scripts, blog posts, social media posts, and personalized email campaigns based on customer behavior and preferences. DocoMatic’s innovative Chatpedia technology is powered by OpenAI’s GPT-3, enabling users to chat with the AI assistant to find precisely what they need from complex documents. Question Base, a cutting-edge generative AI startup, is revolutionizing how teams communicate and collaborate by integrating its innovative technology directly into Slack. By integrating this advanced technology into its platform, OneBar offers a seamless and efficient way for teams to document frequently asked questions and answers, ensuring that valuable internal information is always at their fingertips. One of the key advantages of using FactGPT is its ability to provide citations for the content generated. This ensures that users can verify the accuracy of the information and maintain credibility in their work.

CEO Sundar Pichai emphasized how over 70% of generative AI startups rely on Google’s cloud infrastructure and AI capabilities. This shows the traction for next-gen technology among emerging companies looking to build new services powered by Google Bard and other models. «Our AI-optimized infrastructure is a leading platform for training and serving generative AI models. More than 70% of gen AI unicorns are Google Cloud customers, including Cohere, Jasper, Typeface, and many more,» he said. Image Generation is a process of using deep learning algorithms such as VAEs, GANs, and more recently Stable Diffusion, to create new images that are visually similar to real-world images. Image Generation can be used for data augmentation to improve the performance of machine learning models, as well as in creating art, generating product images, and more.

Top 30 Generative AI Startups

However, what sets this AI revolution apart is the emergence of large language models (LLMs), a type of AI algorithm that leverages deep learning techniques and massive amounts of data to understand, generate, and manipulate human language. These models are designed to process and comprehend text in a way that closely resembles human language understanding and also predict new content. Building, training, and deploying large language models (LLMs) and vision models are expensive and time consuming and require deep ML expertise. Complex models containing hundreds of billions of parameters make generative AI an immense challenge for many startup developers. AWS is collaborating with Hugging Face, an open-source provider of natural language processing (NLP) models known as transformers, to make it easier to access AWS services and deploy models for generative AI applications. Alphabet’s Q earnings call highlighted the growing adoption of generative AI across the …

Soundful’s generative AI technology uses the language of music to enable individuals to compose and create songs and musical tracks using different musical genres. The AI technology can customize inputs and create new tracks that individuals can download as MP3, multi-track stems, or WAV files. Once downloaded, musicians and producers can use the songs, sounds, and tracks to create new musical compositions and songs. «And so really it was just a fundamental belief that like innovation will happen even faster if we move this stuff to open source.»

How to Generate Images with AI

With its innovative technology, Docent is set to transform the customer service landscape and help businesses achieve higher productivity and customer satisfaction. This innovative search engine, formerly known as Hello, is optimized for answering technical questions and providing simple explanations along with relevant code snippets from the web. Phind is a cutting-edge generative AI startup that recently launched an AI search engine designed for developers. Ask Writer is a groundbreaking AI content generator that offers a wide range of features and capabilities to help users create high-quality content quickly and efficiently.

Character.AI is an innovative startup that leverages a neural language model to generate human-like text responses and facilitate contextual conversations. This chatbot web application allows users to create and publish «characters» with crafted «personalities» for community engagement. These characters can be used for a variety of purposes, including creative writing and text-based adventure games. New startups continue to enter the market at a swift pace, supported by advances in generative infrastructure like large language models and vector databases. Across 91 deals in 2023 so far, the space has already seen $14.1B in equity funding (including $10B to OpenAI). Glean is a generative AI workplace search company that relies on deep-learning models to understand natural language queries in the context of organizational, departmental, and individual user characteristics.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

Charisma provides a plug-and-play platform for various entertainment companies and storytellers to create realistic characters and storylines that adjust to player/user inputs. Examples of media created with Charisma include The Kraken Wakes game and the Will Play virtual learning Yakov Livshits platform. Entos is a company made up of top scientists, biotechnology experts, and machine learning experts who are working to optimize oncology therapeutics with AI. Their pipeline therapeutics release is actively in the works and is expected to launch within the next two years.

Create natural language-based conversational interfaces, enhancing the user experience by providing more human-like interactions. Create natural language-based conversational interfaces, such as chatbots and virtual assistants, and leverage speech-to-text and translation capabilities. There is a wide range of emerging focus areas in the generative AI space, which we’ve mapped here.

F(x) Data Labs

ImageNet is an image database, where free data is available to researchers for non-commercial use. If you would like a deeper understanding of how it works, check out this paper. Interestingly, there are algorithms that do not need any input image, as they are trained with a set of images that can generate new images. In addition, amazing results in restoration can be found in the Palette model, which uses diffusion models to perform image colorization, inpainting, and uncropped images.

It’s focused on reducing the time and cost of drug development, particularly in areas such as immunology, oncology, central nervous system disorders, and fibrosis. We’ve created a list of the top 50 generative AI startups to watch today and over the next few years. Some of these companies, like OpenAI, have already proven themselves and turned into multi-billion dollar companies. Regardless of where they individually fall in their stages of development, each of these startups has generated enough buzz to earn a spot on our list to top generative AI startups. This innovative platform harnesses the power of large language models, such as GPT-4, to create a highly accurate and efficient chatbot explicitly tailored for developers.

Introducing AskAI, the revolutionary generative AI startup that is transforming how we access information and unleash our creativity. Perplexity AI is a groundbreaking generative AI startup that has taken the world by storm.

• Its use cases span across industries and focus on ethical AI development, making it one of the most exciting AI startups on our radar today.
• Below you will find a few prominent use cases that already present mind-blowing results.
• The global GenAI market is forecast to reach $42.6 billion this year, according to PitchBook, and while VC investing overall remains in a slump, corporate VC funding for AI startups in Q increased about 37% from 2022.
• CLIP (Contrastive Language–Image Pre-training) is trained to determine from a given set of captions which one fits best with a given image.
• Humata, a new generative AI startup, is revolutionizing how we interact with files and data.
• And if the model knows what kinds of cats and guinea pigs there are in general, then their differences are also known.

By leveraging advanced AI algorithms, Kraftful provides valuable insights into market trends, customer behavior, and competitor strategies, enabling businesses to stay ahead of the curve. Docent’s unique approach to chatbot creation involves scraping your website and documentation to build a virtual assistant tailored to your company’s needs. Launched in late 2022, Elicit primarily focuses on literature review for empirical research questions, such as «What are the effects of X on Y?». Chatbase supports many file formats, including PDF, TXT, DOC, and DOCX, and can even scrape content from websites. Analyse Docs’ AI algorithms are trained on a vast dataset of over 10 million annotated data entities, enabling the platform to accurately identify and extract relevant information from various documents. Unlike ChatGPT, which cannot read PDF files and only processes text input, ChatPDF is tailored explicitly for research papers and other PDF documents.