Bessemer Venture Partners

Iris Automation Inc. develops collision avoidance systems for operating industrial drones. The company offers an artificial intelligence computer that blends real-time images and 3D maps to track incoming objects. Its onboard software tracks and avoids dynamic and static objects on the ground and in the air at short-range and long-range. The company’s system is built to process visual data in real-time holding the capability to see structures that suddenly appear, such as a plane, flock of birds, and another drone. It serves the avionics industry worldwide. The company was founded in 2015 and is based in San Francisco, California with an additional operation in Reno, Nevada.

Iris Automation Inc. develops collision avoidance systems for operating industrial drones. The company offers an artificial intelligence computer that blends real-time images and 3D maps to track incoming objects. Its onboard software tracks and avoids dynamic and static objects on the ground and in the air at short-range and long-range. The company’s system is built to process visual data in real-time holding the capability to see structures that suddenly appear, such as a plane, flock of birds, and another drone. It serves the avionics industry worldwide. The company was founded in 2015 and is based in San Francisco, California with an additional operation in Reno, Nevada.

Traction Guest Inc. specializes in a cloud-based visitor management system that helps enterprises enhance their visitor experiences while improving security. Founded in 2015 and headquartered in Burnaby, Canada, the company offers a highly customizable platform that allows organizations to tailor sign-in processes according to their specific needs. This system serves a diverse range of industries, including offices, events, field services, recreation centers, research facilities, and manufacturing sites. Key features include a central administration platform, instant legal document signing, automatic badge printing, and integration with Salesforce. Traction Guest's solutions are utilized by leading global brands, empowering them to create safe, secure, and efficient on-site experiences for both employees and visitors.

Verato is a cloud-based patient matching technology that is better, faster, and cheaper than today's standard matching technologies. We use a highly-curated, continuously-updated, self-learning database of identities and identity attributes spanning the entire U.S. adult population. This database acts as an “answer key” for identity data. We call this "referential matching." Verato uses this database as an answer key during matching to make matches no other approach can ever make—even if two records have out-of-date, errored, incomplete, and inconsistent identity data. Because of this approach, our match rates are the highest in the industry. We deliver sub-second performance and can securely handle hundreds of millions of transactions to support the largest organizations. Since, Verato is cloud-based, there is no software to deploy, support, and maintain. We deliver quick time-to-value (weeks, not months or years) and a lower total cost of ownership than any of the on-premises solutions being used today. Better, cheaper, faster.

Iris Automation Inc. develops collision avoidance systems for operating industrial drones. The company offers an artificial intelligence computer that blends real-time images and 3D maps to track incoming objects. Its onboard software tracks and avoids dynamic and static objects on the ground and in the air at short-range and long-range. The company’s system is built to process visual data in real-time holding the capability to see structures that suddenly appear, such as a plane, flock of birds, and another drone. It serves the avionics industry worldwide. The company was founded in 2015 and is based in San Francisco, California with an additional operation in Reno, Nevada.

Verato is a cloud-based patient matching technology that is better, faster, and cheaper than today's standard matching technologies. We use a highly-curated, continuously-updated, self-learning database of identities and identity attributes spanning the entire U.S. adult population. This database acts as an “answer key” for identity data. We call this "referential matching." Verato uses this database as an answer key during matching to make matches no other approach can ever make—even if two records have out-of-date, errored, incomplete, and inconsistent identity data. Because of this approach, our match rates are the highest in the industry. We deliver sub-second performance and can securely handle hundreds of millions of transactions to support the largest organizations. Since, Verato is cloud-based, there is no software to deploy, support, and maintain. We deliver quick time-to-value (weeks, not months or years) and a lower total cost of ownership than any of the on-premises solutions being used today. Better, cheaper, faster.

Retrica is a photo editing application that allows users to capture and enhance images using a wide array of filters and effects. Designed for smartphones, the app offers various editing options, including beautification and display adjustments, which contribute to a diverse range of photographic styles. Users can easily share their edited photos with others, facilitating the communication of personal moments through visual media. Retrica continually updates its features to provide a fresh and engaging experience for its users.

Venticake Inc., founded in 2012 and based in Seoul, South Korea, is the developer of the photography app Retrica. The app aims to help users capture and preserve their everyday life experiences in a visually appealing manner. By allowing users to save their memories without restrictions and share them freely, Retrica provides a platform for individuals to document and celebrate their daily moments.

Verato is a cloud-based patient matching technology that is better, faster, and cheaper than today's standard matching technologies. We use a highly-curated, continuously-updated, self-learning database of identities and identity attributes spanning the entire U.S. adult population. This database acts as an “answer key” for identity data. We call this "referential matching." Verato uses this database as an answer key during matching to make matches no other approach can ever make—even if two records have out-of-date, errored, incomplete, and inconsistent identity data. Because of this approach, our match rates are the highest in the industry. We deliver sub-second performance and can securely handle hundreds of millions of transactions to support the largest organizations. Since, Verato is cloud-based, there is no software to deploy, support, and maintain. We deliver quick time-to-value (weeks, not months or years) and a lower total cost of ownership than any of the on-premises solutions being used today. Better, cheaper, faster.

Figure Eight Inc. is a developer of a human-in-the-loop machine learning platform that specializes in creating customized, high-quality training data for various applications. Founded in 2007 and based in San Francisco, the platform transforms text, image, audio, and video data to support a wide range of use cases, including autonomous vehicles, natural language processing, intelligent chatbots, and computer vision. It employs machine learning-assisted annotation solutions to produce training data at enterprise scale, having generated over 10 billion training data labels to power real-world AI applications. Figure Eight serves diverse industries such as automotive, healthcare, finance, and technology, facilitating tasks like video object tracking, sentiment analysis, and document transcription. The platform's capabilities enable data science teams to enhance the performance of their models in practical scenarios.

Terra Bella is a private company that provides commercial, high-resolution satellite imagery and high-definition video and analytics services. It analyzes the movement of goods and people; and provides visual data about supply chains, shipping, industrial plant activity, and humanitarian relief efforts. Terra Bella (originally Skybox Imaging) was co-founded by Dan Berkenstock, Julian Mann, John Fenwick, and Ching-Yu Hu in 2009 and is based in Mountain View, California, United States.

Figure Eight Inc. is a developer of a human-in-the-loop machine learning platform that specializes in creating customized, high-quality training data for various applications. Founded in 2007 and based in San Francisco, the platform transforms text, image, audio, and video data to support a wide range of use cases, including autonomous vehicles, natural language processing, intelligent chatbots, and computer vision. It employs machine learning-assisted annotation solutions to produce training data at enterprise scale, having generated over 10 billion training data labels to power real-world AI applications. Figure Eight serves diverse industries such as automotive, healthcare, finance, and technology, facilitating tasks like video object tracking, sentiment analysis, and document transcription. The platform's capabilities enable data science teams to enhance the performance of their models in practical scenarios.

Terra Bella is a private company that provides commercial, high-resolution satellite imagery and high-definition video and analytics services. It analyzes the movement of goods and people; and provides visual data about supply chains, shipping, industrial plant activity, and humanitarian relief efforts. Terra Bella (originally Skybox Imaging) was co-founded by Dan Berkenstock, Julian Mann, John Fenwick, and Ching-Yu Hu in 2009 and is based in Mountain View, California, United States.

Figure Eight Inc. is a developer of a human-in-the-loop machine learning platform that specializes in creating customized, high-quality training data for various applications. Founded in 2007 and based in San Francisco, the platform transforms text, image, audio, and video data to support a wide range of use cases, including autonomous vehicles, natural language processing, intelligent chatbots, and computer vision. It employs machine learning-assisted annotation solutions to produce training data at enterprise scale, having generated over 10 billion training data labels to power real-world AI applications. Figure Eight serves diverse industries such as automotive, healthcare, finance, and technology, facilitating tasks like video object tracking, sentiment analysis, and document transcription. The platform's capabilities enable data science teams to enhance the performance of their models in practical scenarios.

Advanced Recognition Technologies, Inc. (ART) is a leading developer of speech and handwriting recognition software tailored for mobile devices. Established in 1990, the company was a pioneer in creating user-friendly interfaces, notably introducing Name Dialing for cellular handsets. ART offers a broad range of proprietary technologies that enhance the functionality of cellular phones, smartphones, PDAs, and automotive systems. Its software solutions are embedded in products from major manufacturers such as Acer, Hitachi, Samsung, and Panasonic, among others. Additionally, ART provides stand-alone products directly to consumers, allowing individuals to access the same advanced technologies used by top original equipment manufacturers (OEMs). The company has established strategic partnerships with industry leaders, including Microsoft and Motorola, to further its innovation in user interface solutions. Headquartered in the United States, ART maintains sales offices on both coasts and operates a research and development subsidiary in Israel, facilitating its active presence in the U.S., Europe, Asia, and beyond.