New and recently funded AI Startups
1
Country: France | Funding: $395.2M
Hugging Face is a platform where the machine learning community collaborates on models, datasets and applications. It contains a vast catalog of open-source ML models, frameworks, inference providers, datasets, libraries and apps. It also allows users to combine machine learning models and datasets and create collaborative projects/Spaces for developing AI systems. An enterprise version of this workspace is available for on-premises deployment. The platform hosts a community that provides opportunities for networking, knowledge sharing and building own ML portfolio and reputation. Hugging Face also develops own ML tools, including the Transformers library, designed for natural language processing applications. Acquired by NVidia
Hugging Face is a platform where the machine learning community collaborates on models, datasets and applications. It contains a vast catalog of open-source ML models, frameworks, inference providers, datasets, libraries and apps. It also allows users to combine machine learning models and datasets and create collaborative projects/Spaces for developing AI systems. An enterprise version of this workspace is available for on-premises deployment. The platform hosts a community that provides opportunities for networking, knowledge sharing and building own ML portfolio and reputation. Hugging Face also develops own ML tools, including the Transformers library, designed for natural language processing applications. Acquired by NVidia
2
Country: USA | Funding: $156.2M
HiddenLayer provides a software-based platform that helps enterprises monitor the inputs and outputs of their machine-learning algorithms.
HiddenLayer provides a software-based platform that helps enterprises monitor the inputs and outputs of their machine-learning algorithms.
3
Country: USA | Funding: $100M
LearnVector aims to build AI agents that function as personal tutors — adapting to each learner and practicing with them until they demonstrate they've mastered a concept. It's focused on education for workers and other adults
LearnVector aims to build AI agents that function as personal tutors — adapting to each learner and practicing with them until they demonstrate they've mastered a concept. It's focused on education for workers and other adults
4
Country: USA | Funding: $52M
Fish Audio is an AI platform for expressive text‑to‑speech and voice cloning with pro‑grade voices and multilingual support (a library of more than 15,000 natural language controls). One way the startup has built its library of voices is by asking users to submit their own voices for training its models, and compensating them if their voices are used. The company open-sources most of its speech-generation models but it also offers paid monthly plans suited for creators and teams that unlock a set number of minutes of generation plus voice-cloning features and an enterprise version of its APIs and platform.
Fish Audio is an AI platform for expressive text‑to‑speech and voice cloning with pro‑grade voices and multilingual support (a library of more than 15,000 natural language controls). One way the startup has built its library of voices is by asking users to submit their own voices for training its models, and compensating them if their voices are used. The company open-sources most of its speech-generation models but it also offers paid monthly plans suited for creators and teams that unlock a set number of minutes of generation plus voice-cloning features and an enterprise version of its APIs and platform.
5
Country: UK | Funding: $650M
Recursive is a developer of self-improving AI systems automating scientific discovery and artificial intelligence research. Recursive embraces the logical conclusion: the fastest path to superintelligence will be realized by AI that recursively improves itself, and does so via open-ended algorithms that drive endless innovation. The startup plans at first to focus on the science of AI itself (by creating AI that improves AI), but the playbook they create will soon allow to revolutionize every scientific discipline.
Recursive is a developer of self-improving AI systems automating scientific discovery and artificial intelligence research. Recursive embraces the logical conclusion: the fastest path to superintelligence will be realized by AI that recursively improves itself, and does so via open-ended algorithms that drive endless innovation. The startup plans at first to focus on the science of AI itself (by creating AI that improves AI), but the playbook they create will soon allow to revolutionize every scientific discipline.
6
Country: USA | Funding: $200M
Spur Intelligence is a bot-detection startup that offers IP intelligence solutions for detecting abuse, reducing fraud, and protecting workflows.
Spur Intelligence is a bot-detection startup that offers IP intelligence solutions for detecting abuse, reducing fraud, and protecting workflows.
7
Country: UK | Funding: $57.9M
Greyparrot develops AI-powered waste intelligence software for recycling, resource recovery, and waste management.
Greyparrot develops AI-powered waste intelligence software for recycling, resource recovery, and waste management.
8
Country: USA
Discovery Loop is an autonomous artificial intelligence, dedicated to deeply automating machine learning, science, and engineering. The startup was founded by Google's chief scientific officers, whose work helped to build Google's AI infrastructure and modern AI research. Google is the startup's primary investor and provides computing power, so it's like a spinoff. The startup focuses on developing ML model recursive self-improvement with minimal or no human intervention. The founders claim this approach can automate much of the experimental cycle of scientific progress, helping researchers design equipment, discover drugs, develop new materials, and accelerate other forms of discovery.
Discovery Loop is an autonomous artificial intelligence, dedicated to deeply automating machine learning, science, and engineering. The startup was founded by Google's chief scientific officers, whose work helped to build Google's AI infrastructure and modern AI research. Google is the startup's primary investor and provides computing power, so it's like a spinoff. The startup focuses on developing ML model recursive self-improvement with minimal or no human intervention. The founders claim this approach can automate much of the experimental cycle of scientific progress, helping researchers design equipment, discover drugs, develop new materials, and accelerate other forms of discovery.
9
Country: UK | Funding: $332M
Stability AI is developing an open-source model for generating images from text descriptions - Stable Diffusion. The model enables creation of a wide range of image styles, including 3D, photography, painting, line art and more. The model can be installed on a private server or accessed via Stability AI API. The company also provides a Studio for editing images, transforming styles, up-scaling and improving image quality. In addition to the image generation model, Stability AI also develops text-to-video, -audio and -3D models and is collaborating with ARM to optimize its models for mobile devices. Stability AI is constantly facing legal action from stock photo companies like Getty Images for misusing their collection to train their AI-image generation system.
Stability AI is developing an open-source model for generating images from text descriptions - Stable Diffusion. The model enables creation of a wide range of image styles, including 3D, photography, painting, line art and more. The model can be installed on a private server or accessed via Stability AI API. The company also provides a Studio for editing images, transforming styles, up-scaling and improving image quality. In addition to the image generation model, Stability AI also develops text-to-video, -audio and -3D models and is collaborating with ARM to optimize its models for mobile devices. Stability AI is constantly facing legal action from stock photo companies like Getty Images for misusing their collection to train their AI-image generation system.
10
Country: USA | Funding: $361.6M
Wispr Flow develops a voice dictation app that converts speech to text for writing, messaging, and note taking. It created own model to improve the quality of speech understanding. Wispr’s desktop app Notetaker can record speech and display summaries and action items. The company is also partnering with hardware makers, like the Oasis ring, to let customers dictate on their devices without speaking loudly.
Wispr Flow develops a voice dictation app that converts speech to text for writing, messaging, and note taking. It created own model to improve the quality of speech understanding. Wispr’s desktop app Notetaker can record speech and display summaries and action items. The company is also partnering with hardware makers, like the Oasis ring, to let customers dictate on their devices without speaking loudly.
