50 Generative AI Startups to Watch This Year

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Generative AI startups have emerged as the newest and most formidable players in the tech world, using natural language processing, machine learning, and other forms of artificial intelligence to generate new, original content for a variety of business use cases.

Larger tech companies like Google, Microsoft, and AWS are working hard to build up their generative AI technologies as well, but many of these tech giants are having trouble keeping up with the agile gen AI startups that are willing to take risks in order to establish their AI niches.

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. Others have not yet emerged from early rounds of funding. 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 of the top generative AI startups.

Table of Contents: Top 50 Generative AI Startups

• Top 10 Generative AI Startups: Best of the Best
• Top 2 Generative AI Startups for Developers
• Top 8 Generative AI Startups for Marketing, Sales, and Creative Projects
• Top 10 Generative AI Startups for Healthcare, Pharmaceuticals, and Life Sciences
• Top 4 Generative AI Startups for Synthetic Data and Data Analytics
• Top 3 Generative AI Startups for Customer Service and Customer Experience
• Top 7 Generative AI Startups for Gaming and Entertainment
• Top 4 Generative AI Startups for Project Management, Legal, and Business Operations
• Top 2 Generative AI Startups for Search and Personal Assistance
• Why Is Generative AI Important?
• How Does Generative AI Work?
• Bottom Line: The Generative AI Startups to Watch

Top 10 Generative AI Startups: Best of the Best

1. OpenAI

OpenAI is one of the largest AI startups in the world and is certainly the largest in the generative AI space. Along with its prebuilt AI solutions, OpenAI also offers API and application development support for developers who want to use its models as baselines.

• Founded: 2015.
• Founded by: Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trever Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, Jessica Livingston, John Schulman, Pamela Vagata, Wojciech Zaremba
• Category and use cases: Language modeling, content generation, image generation and editing, audio transcription and translation, and custom and embedded model development.
• Products and solutions: GPT-3, GPT-4, ChatGPT Plus and ChatGPT Enterprise, DALL-E, Whisper, and InstructGPT (Ada, Babbage, Curie, and Davinci).

Also read: Top AI Startups

2. Hugging Face

Hugging Face is a community forum, similar to GitHub, that focuses on AI and ML model development and deployment. Some of the community’s main specialties include text classification, question answering, image classification, translation, summarization, audio classification, and object detection.

• Founded: 2016.
• Founded by: Clement Delangue, Julien Chaumond, Thomas Wolf
• Category and use cases: Open-source development community, public submissions and deployments of NLP, computer vision, other AI models.
• Products and solutions: Expert Acceleration Program, Private Hub, Inference Endpoints, AutoTrain, and Hardware.

3. Cohere

Cohere offers NLP solutions that are specifically designed to support business operations. With Cohere’s conversational AI agent, enterprise users can quickly search for and retrieve all kinds of company information without searching through massive applications and databases.

• Founded: 2019.
• Founded by: Aidan Gomez, Ivan Zhang, Nick Frosst
• Category and use cases: Text retrieval, text generation, text classification, enterprise conversational AI agent, and multilingual embedding and language models.
• Products and solutions: Command, Embeddings, Summarize, Generate, Embed, Semantic Search, Rerank, Classify.

4. Anthropic

Anthropic’s Claude platform is similar to OpenAI’s ChatGPT, with its large language model and content generation focus. First released widely in March 2023, Claude is viewed as a more customizable platform with less propensity for rude or inappropriate responses.

• Founded: 2021.
• Founded by: Daniela Amodei, Dario Amodei, Jack Clark, Jared Kaplan, Sam McCandlish, Tom Brown
• Category and use cases: Content generation, coding, customer support, text translation, text classification, text summarization, search, legal document summarization, career coaching, workflow automation, and text editing.
• Products and solutions: Claude, Claude Instant, and Claude Pro.

On a related topic: The AI Market: An Overview

5. Inflection AI

Founded by former leaders from LinkedIn and DeepMind in 2022, Inflection AI’s mission and goals were mostly kept under wraps until Pi, a personal AI that focuses on colloquial conversation and advice, was released in May 2023. Even before its initial release, the company had already received major funding rounds and indicated that it plans to completely transform how humans are able to speak to and communicate with computers; expect to see further developments from them in the near future.

• Founded: 2022.
• Founded by: Karén Simonyan, Reid Hoffman, Mustafa Suleyman
• Category and use cases: Human-to-computer communication in plain language, voice search, brain-computer interface (BCI), conversational AI, AI assistance.
• Products and solutions: Pi.

6. Jasper

Jasper’s core product is designed specifically for business and marketing content generation. Some core areas where Jasper works well include social media, advertising, blog, email, and website content creation. It is a particularly effective tool for establishing a consistent brand voice and managing digital marketing campaigns.

• Founded: 2021.
• Founded by: Chris Hull, Dave Rogenmoser, John Philip Morgan.
• Category and use cases: Long-form and short-form content creation, Dialog-driven content creation and language modeling, AI assistant browser extension, art creation, and multi-language reading and writing.
• Products and solutions: Jasper.

7. Synthesis AI

Synthesis AI is a cutting-edge synthetic data generation startup that creates computer-vision-driven imagery, videos, and human simulations. 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.

• Founded: 2019.
• Founded by: Yashar Behzadi.
• Category and use cases: Synthetic data generation for computer vision, image labeling, image generation, video generation, ID verification, automotive and driver monitoring, pedestrian detection, teleconferencing, security scenarios, virtual try-on, avatar creation, AR/VR/XR, and 3D human models.
• Products and solutions: Synthesis Humans, Synthesis Scenarios, and Synthetic Data Visualizer.

On a related topic: What is Generative AI?

8. Glean

Glean is a generative AI enterprise search company that relies on deep-learning models to understand natural language queries in the context of organizational, departmental, and individual user characteristics. Glean connects to a variety of enterprise apps and platforms, making it easier to set up and maintain access to various business information sources.

• Founded: 2019.
• Founded by: Arvind Jain, Piyush Prahladka, Tony Gentilcore, TR Vishwanath
• Categories and use cases: Cognitive enterprise search, data ingestion and management, knowledge management, and enterprise environment app and data unification.
• Products and solutions: Glean Search, Glean Assistant, Glean Knowledge Management, Glean Work Hub, Glean Connectors, Glean Security.

9. Stability AI

Stability AI is one of the most successful startups in the generative AI space for image and video content generation. Though the company has come under controversy for alleged copyright infringement of artists’ work, Stable Diffusion in particular continues to be a popular solution, operating in the background of many other generative AI startups’ platforms.

• Founded: 2019.
• Founded by: Emad Mostaque
• Category and use cases: Text-to-image generation, image editing, audio and video generation, language modeling, and open-source AI and application development models.
• Products and solutions: Stable Diffusion 2.0 and Stable Diffusion XL, Stable Diffusion Reimagine, Stable Audio, StableLM DreamStudio, Photoshop Plugin, Blender Plugin, and Platform API.

10. Lightricks

Lightricks first gained notoriety with its social-media-friendly image editing app, Facetune. It has since expanded Facetune and its other apps with cutting-edge AI, making it possible to edit and generate new content for videos, photos, and art projects.

• Founded: 2013.
• Founded by: Amit Goldstein, Itai Tsiddon, Nir Pochter, Yaron Inger, Zeev Farbman
• Category and use cases: Text-to-image generation, image editing, video editing, art generation, avatar generation.
• Products and solutions: Facetune, Photoleap, Videoleap, Popular Pays, Filtertune, Beatleap, Motionleap, Artleap, Lightleap, Boosted.

Top 2 Generative AI Startups for Developers

1. AI21 Labs

AI21 Labs creates tools that focus heavily on contextual natural language processing for reading and writing. Third-party developers can build on AI21 Labs’ language models for their own text-based apps and services with AI21 Studio.

• Founded: 2017.
• Founded by: Ori Goshen, Yoav Shoham.
• Category and use cases: Language modeling, application development, content generation and editing, and content summarization.
• Products and solutions: Wordtune, Wordtune Read, and AI21 Studio.

2. Tabnine

Tabnine offers generative AI code assistance for software development. It can be useful for both experienced and novice coders due to its focus on code completion.

• Founded: 2017.
• Founded by: Dror Weiss, Eran Yahav.
• Category and use cases: AI-assisted development, code completion, and code automation.
• Products and solutions: Tabnine and Tabnine Chat.

Top 8 Generative AI Startups for Marketing, Sales, and Creative Projects

1. Rephrase.ai

Rephrase.ai makes it possible for companies and individuals to create custom videos without extensive in-house equipment or experience. Text-to-voice conversion, avatar and template libraries, and campaign analytics combine to create a platform for self-service video production that still has a personal feel to it.

• Founded: 2019.
• Founded by: Ashray Malhotra, Nisheeth Lahoti, Shivam Mangla
• Category and use cases: Video generation and digital avatar creation, marketing customer campaigns, blog-to-video content transformation, and internal communications.
• Products and solutions: Rephrase Studio.

2. Synthesia

Synthesia is a generative AI company that focuses on video creation for personal and enterprise use. Users can rely on AI avatars and voices to communicate in training, marketing, and how-to videos in 120 different languages. Most significantly, professional-looking videos can be generated from users’ text inputs.

• Founded: 2017.
• Founded by: Lourdes Agapito, Matthias Niessner, Steffen Tjerrild, Victor Riparbelli
• Category and use cases: Video generation, AI voice and avatar generation, and video templates.
• Products and solutions: Synthesia.

3. Plask

Plask creates technology to make animation easier and more cost-effective. The tool can be used to create animated or hyper-realistic 3D motion videos; it automates the entire process of creating designs and movement.

• Founded: 2020.
• Founded by: Jaejun Yu, Junho Lee.
• Category and use cases: AI-generated animation, AI motion capture, and 3D character building.
• Products and solutions: Plask (Freemium and MoCap Pro) and Plask API for Enterprise.

4. podcast.ai

podcast.ai, a subsidiary of Play.ht, is a weekly podcast that is entirely created with generative AI voices and transcripts. The podcast covers a different topic each week and has even used Steve Jobs recordings and biographical information to record an episode with “him.”

• Founded: 2016 (Play.ht).
• Founded by: Hammad Syed, Mahmoud Felfel (Play.ht).
• Category and use cases: Podcast content generation, voice generation, and content transcription.
• Products and solutions: podcast.ai.

For more information, also see: History of AI

5. Bertha.ai

Bertha.ai is a content generation solution for WordPress users in particular, though it also works with sites like Shopify, Wix, and Squarespace. It can help with creating written content and imagery for blog posts and other webpages as well as other forms of digital marketing copy.

• Founded: 2021.
• Founded by: Andrew Palmer, Vito Peleg.
• Category and use cases: Content generation, image and illustration creation, blog writing, and product description writing.
• Products and solutions: Bertha AI, Chat, Ask Me Anything, Long Form Content, and Bertha Chrome Extension.

6. Tavus

Tavus is a generative AI company that creates new versions of videos users have already created based on specific viewer qualities and other personalization requirements. The foundational template videos users create give Tavus enough material to generate believable audio and visuals for future videos on different topics, making it possible to record only one video and send custom messages to each of your contacts.

• Founded: 2020.
• Founded by: Hassaan Raza, Quinn Favret.
• Category and use cases: Automated video generation and personalization, voice cloning, media blending, lip sync, video templates, and recruiting and marketing campaign videos.
• Products and solutions: Tavus.

7. Midjourney

Midjourney is a generative AI solution for image and artwork creation that primarily gives users access to its features and community support through Discord. The company has come under fire for using millions of artists’ images without prior consent; users have also taken advantage of the platform to produce deep fakes of politicians.

• Founded: 2022.
• Founded by: David Holz.
• Category and use cases: Natural-language-driven image generation and image enhancements and modifications.
• Products and solutions: Midjourney.

8. Twain

Twain is designed to help sales professionals write content — particularly outreach emails — that works better for sales outreach. It not only has the ability to generate its own content but can also make detailed recommendations for edits to content that a user submits.

• Founded: 2021.
• Founded by: Mohamed Chahin.
• Category and use cases: Content generation, sales outreach, recruitment messaging, and content recommendations.
• Products and solutions: Twain.

Top 10 Generative AI Startups for Healthcare, Pharmaceuticals, and Life Sciences

1. Paige AI

Paige AI uses generative tissue-based AI for optimized cancer diagnostics. The platform currently specializes in breast cancer, colon cancer, and prostate cancer diagnoses but also offers other diagnostic resources for oncology professionals.

• Founded: 2017.
• Founded by: David Klimstra, Norman Selby, Peter Schüffler, Thomas Fuchs
• Category and use cases: Cancer diagnostics, computational pathology, and biomarker detection, AI-driven image viewer.
• Products and solutions: Paige platform, Paige Prostate Suite (including Paige Prostate Detect), Paige Breast Suite (including Her2Complete), and FullFocus.

2. Insilico Medicine

Insilico Medicine is a pharmaceutical research and development startup that uses generative AI and machine learning to create more efficient processes across biology, chemistry, and analytics. 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.

• Founded: 2014.
• Founded by: Alex Zhavoronkov.
• Category and use cases: Novel molecules generation with de-novo drug design and scalable engineering, clinical trial design and prediction, and deep biology analysis engine for multi-omics target discovery.
• Products and solutions: Pharma.AI, PandaOmics, Generative Biologics, Chemistry42, and inClinico.

3. Entos

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.

• Founded: 2019.
• Founded by: Fred Manby, Sarah Trice, Thomas Miller.
• Category and use cases: Drug discovery and development, physics-informed AI design, high-throughput experimentation, and oncology therapeutics.
• Products and solutions: Pipeline of oncology therapeutics.

4. Etcembly

Etcembly is a company that is improving T-cell receptor immunotherapies with its machine-learning platform, EMLy. The platform sifts through complex TCR patterns and datasets to discover and identify personalized TCR therapeutic options for patients.

• Founded: 2020.
• Founded by: Michelle Teng, Jacob Hurst.
• Category and use cases: ML database for TCR immunotherapies, AI-driven TCR discovery and identification, computer-assisted engineering, and biotechnology.
• Products and solutions: EMLy.

5. Kaliber Labs

Kaliber Labs focuses on developing AI-powered surgical software for arthroscopic surgery needs. The company also provides solutions to help patients and other members of the surgical team get the information they need more seamlessly.

• Founded: 2015.
• Founded by: Ray Rahman.
• Category and use cases: Digital surgical assistance, AI-labeled patient communication platform, AI-powered feedback for surgeons, and automated surgery stage recognition.
• Products and solutions: Kaliber SaMD platform is in development.

6. Biomatter

Biomatter uses its Intelligent Architecture platform to design and develop proteins for health and sustainable manufacturing. It also goes beyond more traditional human protein expectations and supports use cases across molecular biology, food and beverage, biotherapeutics, and agriculture projects.

• Founded: 2018.
• Founded by: Donatas Repečka, Laurynas Karpus, Rolandas Meškys, Vykintas Jauniskis.
• Category and use cases: Enzyme and protein design.
• Products and solutions: Intelligence Architecture platform.

7. Osmo

Osmo, founded in 2023 as a spinout from Google Research, uses machine learning and has created a map of odor to help computers predict how something smells based on its molecular structure. It hasn’t gone much farther than that at this point, but the vendor has stated its goal to use this technology to support human health and wellness.

• Founded: 2023.
• Founded by: Alex Wiltschko.
• Category and use cases: Olfactory science and computer smelling capabilities.
• Products and solutions: Osmo AI.

8. Activ Surgical

Activ Surgical uses intra-operative surgical intelligence to give surgeons real-time information and better visuals during surgery. With some of the company’s most recent developments, surgeons can also perform surgeries with the help of augmented reality overlays.

• Founded: 2017.
• Founded by: Peter Kim, Seth Teicher.
• Category and use cases: Surgical intelligence and assistance, multimodal advanced visualization, and tissue evaluations.
• Products and solutions: ActivSight Intelligent Light.

9. Aqemia

Aqemia uses AI that includes experimental data in order to scale drug discovery in the pharmatech space. The company touts how it uses both quantum and statistical mechanics algorithms to achieve better outcomes for critical and niche disease categories.

• Founded: 2019.
• Founded by: Emmanuelle Rolland-Martiano, Maximilien Levesque
• Category and use cases: Drug discovery, drug discovery pipeline, and drug design.
• Products and solutions: Launchpad; pipeline in the works.

10. New Equilibrium Biosciences

New Equilibrium Biosciences works with a combination of AI, chemistry, computer science, mathematics, cell biology, and biophysics to optimize drug discovery for intrinsically disordered proteins, or IDPs. With its focus on mutated proteins, the New Equilibrium Platform is particularly effective for cancer and neurodegenerative disorder drug designs.

• Founded: 2019.
• Founded by: Peter Tompa, Virginia Burger.
• Category and use cases: IDP detection, IDP freeze-framing, 3D structural analysis, and drug design.
• Products and solutions: New Equilibrium.

Top 4 Generative AI Startups for Synthetic Data and Data Analytics

1. Synthetaic

Synthetaic’s platform, RAIC, is primarily designed to analyze and ingest unstructured and unlabeled datasets from videos, satellite imagery, and video and drone footage. The company famously tracked the origin of a Chinese balloon in February 2023. The company has also partnered with Microsoft, which will likely lead to new products and use cases in the near future.

• Founded: 2019.
• Founded by: Corey Jaskolski.
• Category and use cases: AI prototyping, geospatial analysis, drone-based monitoring, content moderation, and video security.
• Products and solutions: RAIC.

2. MOSTLY AI

MOSTLY AI’s synthetic data generation platform balances data democratization and app development efficiencies with data anonymity and security requirements. The platform has proven especially useful in the banking, insurance, and telecommunications industries.

• Founded: 2017.
• Founded by: Klaudius Kalcher, Michael Platzer, Roland Boubela
• Category and use cases: Synthetic data generation for AI and software app development, data anonymization, AI and ML development, and testing and product development.
• Products and solutions: MOSTLY AI.

3. Infinity AI

Infinity AI is another top generative AI startup that focuses on synthetic data generation, simplifying the collection and labeling of useful data. Infinity AI’s solutions have been used in fitness, smart retail, robotics, and warehouse safety scenarios.

• Founded: 2021.
• Founded by: Lina Colucci, Sidney Primas, Andrew Weitz, Daniel Hensley
• Category and use cases: Synthetic data generation, debugging, ML data pipeline automation, and automatic data labeling.
• Products and solutions: Infinity API, VisionFit API, and Infinity Core.

4. Syntho

Syntho is another synthetic data generation startup that uses generative AI to create synthetic data twins of actual sensitive data. Syntho’s Syntho Engine is often used for realistic product demos, data analytics, and test data generation.

• Founded: 2020.
• Founded by: Marijn Vonk, Simon Brouwer, Wim Kees Janssen
• Category and use cases: Synthetic data generation, test data generation, and data analytics.
• Products and solutions: Syntho Engine.

Top 3 Generative AI Startups for Customer Service and Customer Experience

1. Gridspace

Gridspace offers solutions for organizations that want to better automate, manage, and analyze contact center and customer interactions. The company offers voice bots and live agent training, making it possible to create a hybrid bot-human agent workforce in healthcare, retail, and other customer-service-driven organizations.

• Founded: 2012.
• Founded by: Anthony Scodary, Evan Macmillan, Nico Benitez
• Category and use cases: Conversational AI, virtual agents and voice bots, virtual contact centers, observability and call monitoring, and customer service.
• Products and solutions: Gridspace Grace, Gridspace Sift Analytics, and Gridspace Pulse.

2. Revery AI

Revery AI offers a virtual dressing room and try-on experience that uses generative AI to help users more accurately visualize how clothing will look on them in real life. The company has partnered with some fashion retailers already to create a more integrated virtual shopping experience for users.

• Founded: 2020.
• Founded by: Jeffrey Zhang, Kedan Li.
• Category and use cases: Virtual dressing room and try-on, virtual reality, and e-tail.
• Products and solutions: Revery AI.

3. Veesual

Veesual is another generative AI startup that uses deep learning and image generation to enable virtual try-ons for fashion and e-commerce. It gives users the ability to select the model that looks most like them and sort through high-res images of different clothing items.

• Founded: 2020.
• Founded by: Damien Meurisse, Eric Gillaume, Maxime Patte.
• Category and use cases: Virtual try-on and image generation.
• Products and solutions: Mix & Match, Switch Model, and Digital Dressing Room.

Top 7 Generative AI Startups for Gaming and Entertainment

1. Latitude.io

Latitude.io is one of the first and foremost providers of AI-generated gaming experiences. With its flagship AI Dungeon, users can enter actions into the game while AI drives the rest of the game narrative forward.

• Founded: 2019.
• Founded by: Alan Walton, Nick Walton.
• Category and use cases: Gaming.
• Products and solutions: AI Dungeon and Voyage (AI Art, Medieval Problems, Loom, and Things).

2. Character.AI

Character.AI is a company that offers creative ways to develop and chat with user-created characters. Though the tool can simply be used for fun conversations with “real” or imagined people, it can also be used to simulate important conversations like job interviews.

• Founded: 2021.
• Founded by: Daniel De Freitas, Noam Shazeer.
• Category and use cases: Character generation with virtual chat and entertainment.
• Products and solutions: Character.ai.

For more information, also see: Top Robotics Startups

3. Charisma Entertainment

Charisma Entertainment 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 platform.

• Founded: 2015.
• Founded by: Guy Gadney.
• Category and use cases: AI storytelling, entertainment, gaming, virtual learning, intelligent character development, and dialogue engine.
• Products and solutions: Charisma and Unreal Engine plugin.

4. Replika

Replika is a generative AI solution that creates AI companions for AI-generated chats that have a more personal touch. The interface of this app is designed to not only allow users to have realistic conversations but also to spend time with their Replika characters in augmented reality experiences.

• Founded: 2015.
• Founded by: Eugenia Kuyda.
• Category and use cases: Conversational AI, AI companion/avatar generation, and augmented reality.
• Products and solutions: Replika.

5. Aimi.fm

Aimi.fm is a generative AI music player that generates endless loops of music in different genres for listeners. With Aimi Studio, music producers of all skill levels can access basic music creation functionalities.

• Founded: 2019.
• Founded by: Edward Balassanian.
• Category and use cases: Generative music creation, music production, and content curation.
• Products and solutions: Aimi and Aimi Studio.

6. Inworld AI

Inworld AI is a company that uses generative AI and text-to-character prompts to help gaming and media companies make NPC characters seem more realistic. These characters may appear in traditional video games, VR, training, and other types of digital entertainment and experiences.

• Founded: 2021.
• Founded by: Ilya Gelfenbeyn, Kylan Gibbs, Michael Ermolenko.
• Category and use cases: NPC character generation, gaming, training and education, customer experience agents, and other forms of digital entertainment and interaction.
• Products and solutions: Inworld.

7. SOUNDRAW

SOUNDRAW is a generative AI solution for music composition that can be tailored to different genres, instruments, and other musical variables. It is most frequently used to generate music that can be used in the background of video creations.

• Founded: 2020.
• Founded by: Daigo Kusunoki.
• Category and use cases: Music and audio generation for videos, podcasts, games, social media, TV, radio, and other mediums.
• Products and solutions: SOUNDRAW.

Top 4 Generative AI Startups for Project Management, Legal, and Business Operations

1. Notion

Notion has found much of its success in providing task management and other kinds of daily work management capabilities to creatives and other project teams. Notion AI was released to the public in early 2023 and quickly gained traction as an option for teams that want to summarize notes, create quick lists, and write emails with the help of generative AI.

• Founded: 2013.
• Founded by: Chris Prucha, Ivan Zhao, Simon Last
• Category and use cases: Content generation, content summarization, content suggestions and translations, note taking, email writing, and task management.
• Products and solutions: Notion AI, Wikis, Projects, and Docs.

2. Casetext

Casetext has used AI for many years to support litigators in finding and preparing for the best-fit cases. In early 2023, Casetext released CoCounsel, a generative AI-powered legal assistant that takes Casetext’s legal capabilities a step further. This AI assistant, powered by GPT-4, can help with tasks that include writing, summarizing, researching, and completing other administrative tasks that are necessary to prepare for cases and new contracts.

• Founded: 2013.
• Founded by: Jake Heller, Pablo Arredondo.
• Category and use cases: AI-guided legal research, search and contextual search, AI assistant, legal document review, research memos, deposition preparation, contract analysis, and case identification.
• Products and solutions: CoCounsel and AllSearch.

3. PatentPal

PatentPal is a tool that is specifically designed with patent law requirements in mind. The tool looks at claims that have already been written by the author in order to generate tonally and factually accurate patent specification drafts on its own.

• Founded: 2018.
• Founded by: Jack Xu.
• Category and use cases: Content generation and summarization for patent applications and intellectual property.
• Products and solutions: PatentPal.

3. Adept AI

Adept AI is a new OpenAI competitor that relies on AI and natural language commands to create better interfaces between humans and computers in the workplace. It specifically automates and simplifies workflows in common business tools, including Salesforce and Google Sheets.

• Founded: 2022.
• Founded by: Ashish Vaswani, David Luan, Niki Parmar.
• Category and use cases: Business and software development process automation and in-app task and goal development.
• Products and solutions: ACT-1.

Top 2 Generative AI Startups for Search and Personal Assistance

1. Andi

Andi is a generative-AI-driven search bot that not only helps users search for information across the web but also summarizes and further explains that information. Users appreciate Andi’s clean interface and lack of ads.

• Founded: 2021.
• Founded by: Angela Hoover.
• Category and use cases: AI semantic search, chatbot, and search results summarization.
• Products and solutions: Andi.

2. You.com

You.com is a private and secure search engine that summarizes and personalizes results with generative AI. The generative AI solution is available as a Chrome extension and can also be used in apps like WhatsApp.

• Founded: 2020.
• Founded by: Bryan McCann, Richard Socher.
• Category and use cases: AI-driven search, AI assistant, AI chat, content and image generation, and content summarization and personalization.
• Products and solutions: You.com.

Why Is Generative AI Important?

Generative AI is important because it takes AI in a more mature direction, making the technology more accessible and useful to a larger audience.

Individuals can make use of this technology in their daily lives at little to no cost. More important, breakthrough innovations in areas like medical imaging and drug discovery are now possible to develop at scale because of generative AI.

Finally, this technology can better define, contextualize, and automate business operations tasks than previous types of AI ever could, making this a technology that is already being applied to and ripe for more enterprise use cases.

How Does Generative AI Work?

Depending on what users are trying to generate, generative AI works through different types of large AI large language models that undergo extensive training with massive datasets and deep learning algorithms on an ongoing basis.

This type of training allows generative AI tools to pull data-driven knowledge from all corners of the web and from other resources, which makes it possible for these AIs to generate believable, human-like data and results. The deep learning, neural network design intends to mimic a human brain, which also helps generative AIs to understand context, relationships, patterns, and other connections that have traditionally required human thinking to grasp.

For more information on how generative AI models work and how users can make the most of their capabilities, read this guide: What Is a Generative AI Model?

Bottom Line: The Generative AI Startups to Watch

Ever since the debut of ChatGPT in November of 2022, generative AI – and artificial intelligence in general – has taken a huge leap forward and permeated various industries and business sectors. Business leaders, consumers, and investors have all woken up to the vast potential for generative AI to support or take over countless tasks, freeing up actual humans to do higher-value work.

It’s the young companies on this list that will shape the future of AI, which in turn will shape the future of technology and society at large in many profound ways. Much like any other young and dynamic area of technology, expect these players to shift their products, roles, and impact in the coming weeks and months.

On a related topic: Top Natural Language Processing Companies