New and recently funded AI Startups
1
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.
2
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.
3
Country: USA | Funding: $8M
Wild Zebra develops AI learning platform for math and reading. It uses Socratic approach: rather than handing over the answer, it works students toward it with questions, drawing out the reasoning step by step. All lessons are customized to be grounded in whatever topics or hobbies the student is already interested in, such as sports, cooking, music, or anything else. The platform also analyzes the conversations themselves, looking not just for students who are distracted or getting answers elsewhere, but for those showing persistence or curiosity. The idea is “to catch kids being good, too”.
Wild Zebra develops AI learning platform for math and reading. It uses Socratic approach: rather than handing over the answer, it works students toward it with questions, drawing out the reasoning step by step. All lessons are customized to be grounded in whatever topics or hobbies the student is already interested in, such as sports, cooking, music, or anything else. The platform also analyzes the conversations themselves, looking not just for students who are distracted or getting answers elsewhere, but for those showing persistence or curiosity. The idea is “to catch kids being good, too”.
4
Country: USA | Funding: $354.2M
Gatik AI is the autonomous vehicle startup focused on short-haul delivery. The startup built a fleet of driverless box trucks, manufactured by Isuzu Motors, that could be used to deliver food and beverages for suppliers. It started small with fixed-route trips that were less than 10 miles, and grew to dynamic routes with dozens of pick-up and drop-off locations that cover up to 400 miles. The company has several high-profile customers, including Loblaws, Kroger, Tyson Foods, Walmart, PepsiCo.
Gatik AI is the autonomous vehicle startup focused on short-haul delivery. The startup built a fleet of driverless box trucks, manufactured by Isuzu Motors, that could be used to deliver food and beverages for suppliers. It started small with fixed-route trips that were less than 10 miles, and grew to dynamic routes with dozens of pick-up and drop-off locations that cover up to 400 miles. The company has several high-profile customers, including Loblaws, Kroger, Tyson Foods, Walmart, PepsiCo.
5
Country: Canada | Funding: $12.3M
Peripheral Labs is incorporating spatial intelligence into live sports broadcasts. Its technology generates volumetric video that allows users to view the game from multiple angles, creating an immersive experience. The system reduces the number of cameras from over 100 to just 32 standard ones, helping to reduce costs and operational expenses. It can allow broadcasters and fans to explore new ways to control their viewing experience using photorealistic 3D reconstruction technology. For example, if fans want to track only the player with the ball, they can do so. They can also freeze the action to see different angles of a foul or critical moment. The system also measures player biomechanics and generates statistics for teams and leagues using a proprietary set of sensors, similar to those in self-driving cars that capture the scene with depth.
Peripheral Labs is incorporating spatial intelligence into live sports broadcasts. Its technology generates volumetric video that allows users to view the game from multiple angles, creating an immersive experience. The system reduces the number of cameras from over 100 to just 32 standard ones, helping to reduce costs and operational expenses. It can allow broadcasters and fans to explore new ways to control their viewing experience using photorealistic 3D reconstruction technology. For example, if fans want to track only the player with the ball, they can do so. They can also freeze the action to see different angles of a foul or critical moment. The system also measures player biomechanics and generates statistics for teams and leagues using a proprietary set of sensors, similar to those in self-driving cars that capture the scene with depth.
6
Country: USA | Funding: $655M
Also develops autonomous driving technology for commercial delivery robots quad TM-Q.
Also develops autonomous driving technology for commercial delivery robots quad TM-Q.
7
Country: USA | Funding: $41.6M
Micro1 helps AI development companies find and manage contractors for data labeling and training. Micro1 partners with leading AI labs, including Microsoft, who are seeking to improve large-scale language models using post-training and reinforcement learning. The company also helps evaluate enterprise AI agents for internal workflows, operations support, finance and industry-specific tasks - with the help of subject-matter experts. Micro1 also enables robotics pre-training, which requires high-quality, human-generated demonstrations of everyday physical tasks. It's building the world's largest robotics pre-training dataset by collecting demonstrations from hundreds of generalists who record interactions with objects in their homes.
Micro1 helps AI development companies find and manage contractors for data labeling and training. Micro1 partners with leading AI labs, including Microsoft, who are seeking to improve large-scale language models using post-training and reinforcement learning. The company also helps evaluate enterprise AI agents for internal workflows, operations support, finance and industry-specific tasks - with the help of subject-matter experts. Micro1 also enables robotics pre-training, which requires high-quality, human-generated demonstrations of everyday physical tasks. It's building the world's largest robotics pre-training dataset by collecting demonstrations from hundreds of generalists who record interactions with objects in their homes.
8
Country: Kazakhstan | Funding: $538M
Higgsfield is developing a service that enables consumers, creators, and social media teams to create and edit AI-powered videos. According to the company, the product is primarily used by professional social media marketers, which is "a key sign that the platform's adoption has expanded beyond random content creation." Its users also share numerous projects focused on fashion and Hollywood-style storytelling. The startup's strategy is based not on direct competition with giants like OpenAI, but on integrating and adapting existing AI models to solve specific business problems. The platform specializes in creating marketing video content, maintaining consistency across characters and branding thanks to its proprietary "reasoning engine."
Higgsfield is developing a service that enables consumers, creators, and social media teams to create and edit AI-powered videos. According to the company, the product is primarily used by professional social media marketers, which is "a key sign that the platform's adoption has expanded beyond random content creation." Its users also share numerous projects focused on fashion and Hollywood-style storytelling. The startup's strategy is based not on direct competition with giants like OpenAI, but on integrating and adapting existing AI models to solve specific business problems. The platform specializes in creating marketing video content, maintaining consistency across characters and branding thanks to its proprietary "reasoning engine."
9
Country: USA | Funding: $2.8B
Groq creates hardware AI accelerators for large language models that improve performance and reduce power consumption compared to classic GPU accelerators. It produces a Language Processing Unit (LPU) chip that uses exclusively on-chip SRAM memory (without external DRAM/HBM modules), which requires installing multiple chips for scalable payloads. Its architecture minimizes elements associated with unpredictable behavior (branch prediction, caches, etc.). Groq enables best performance for small and medium batch/task sizes, especially if the model fits into their configuration. The software-defined, single-core architecture removes traditional software complexity while continuous, token-based execution delivers consistent performance without tradeoffs. Groq licenses its technology to NVidia. The company also provides its cloud AI inference platform built for developers - available in public, private, or co-cloud instances.
Groq creates hardware AI accelerators for large language models that improve performance and reduce power consumption compared to classic GPU accelerators. It produces a Language Processing Unit (LPU) chip that uses exclusively on-chip SRAM memory (without external DRAM/HBM modules), which requires installing multiple chips for scalable payloads. Its architecture minimizes elements associated with unpredictable behavior (branch prediction, caches, etc.). Groq enables best performance for small and medium batch/task sizes, especially if the model fits into their configuration. The software-defined, single-core architecture removes traditional software complexity while continuous, token-based execution delivers consistent performance without tradeoffs. Groq licenses its technology to NVidia. The company also provides its cloud AI inference platform built for developers - available in public, private, or co-cloud instances.
10
Country: USA | Funding: $30M
Encore AI turns customer conversations into revenue-generating AI agents for high-value interactions like loans and insurance. The company’s platform collects call recordings, emails, and text messages, and connects that info with CRM systems. It then divides the customer interactions into stages and tries to find out which parts of a conversation helped move the process along, and which failed. This lets Encore’s agents learn what works best for any particular client or interaction, as different employees may be either more or less effective at different points during a sales or customer success process.
Encore AI turns customer conversations into revenue-generating AI agents for high-value interactions like loans and insurance. The company’s platform collects call recordings, emails, and text messages, and connects that info with CRM systems. It then divides the customer interactions into stages and tries to find out which parts of a conversation helped move the process along, and which failed. This lets Encore’s agents learn what works best for any particular client or interaction, as different employees may be either more or less effective at different points during a sales or customer success process.
