Liquid 2 Ventures

Conntour specializes in providing AI-driven security video management systems for governments and businesses. Their platform employs advanced AI to enhance surveillance capabilities, offering features such as natural language processing for intuitive camera control, real-time analytics for threat detection, and seamless integration with existing security infrastructure. This enables organizations to optimize their security operations, respond more efficiently to incidents, and reduce manual monitoring efforts.

Maven Robotics specializes in developing advanced, AI-driven robotic systems for diverse industries. Their platform combines artificial intelligence and sophisticated hardware to deliver high performance, adaptability, and user-friendly solutions, enabling businesses to enhance operational efficiency and explore new automation opportunities.

Carbon Robotics is a robotics company dedicated to advancing agricultural practices through innovative technology. Its flagship product, the Autonomous Weeder, is designed to autonomously identify and remove weeds from crop fields. This robotic system employs artificial intelligence and computer vision to differentiate between crops and weeds, allowing it to accurately target and eliminate unwanted plants without the use of herbicides or manual labor. By offering a more sustainable and efficient approach to weed management, Carbon Robotics aims to transform traditional farming methods and help farmers optimize crop yields.

Scanbase is a versatile company focused on enhancing diagnostic medicine through its advanced computer vision platform. It develops a digital care planning and management tool that improves the patient experience during at-home diagnostics. By transforming traditional analog tests into digital workflows, Scanbase enables medical companies to analyze risks using photographs of rapid diagnostic tests. This innovative approach facilitates the immediate return of results, thereby streamlining the diagnostic process and contributing to more effective patient care.

Tavus is an AI research company that specializes in creating immersive digital experiences that replicate face-to-face interactions. Their innovative platform utilizes advanced AI avatar models to enable developers and businesses to produce both asynchronous and real-time video experiences featuring human digital twins. This technology is particularly beneficial for sales teams, as it allows them to enhance their outreach efforts by generating realistic personalized videos that effectively mimic customers' gestures and voices. Clients can easily record a single video, which Tavus' platform then transforms into customized content that can be viewed with just one click.

Tavus is an AI research company that specializes in creating immersive digital experiences that replicate face-to-face interactions. Their innovative platform utilizes advanced AI avatar models to enable developers and businesses to produce both asynchronous and real-time video experiences featuring human digital twins. This technology is particularly beneficial for sales teams, as it allows them to enhance their outreach efforts by generating realistic personalized videos that effectively mimic customers' gestures and voices. Clients can easily record a single video, which Tavus' platform then transforms into customized content that can be viewed with just one click.

Carbon Robotics is a robotics company dedicated to advancing agricultural practices through innovative technology. Its flagship product, the Autonomous Weeder, is designed to autonomously identify and remove weeds from crop fields. This robotic system employs artificial intelligence and computer vision to differentiate between crops and weeds, allowing it to accurately target and eliminate unwanted plants without the use of herbicides or manual labor. By offering a more sustainable and efficient approach to weed management, Carbon Robotics aims to transform traditional farming methods and help farmers optimize crop yields.

Mach9 Robotics specializes in integrated hardware and software solutions aimed at enhancing the accuracy and cost-effectiveness of utility infrastructure inspection. The company has developed a digital surveyor platform that creates multi-scale, real-time models of subsurface environments, utilizing advanced technologies such as sensors, underground penetrating radar, thermal cameras, and multi-dimensional scanners. This platform, combined with machine-learning-based mobile mapping, enables the clear mapping of underground mines, voids, pipes, and other critical infrastructure. By providing intelligent analysis software, Mach9 Robotics assists clients in simplifying infrastructure inspections and effectively planning for large construction and utility projects, as well as maintenance activities in urban settings.

Tavus is an AI research company that specializes in creating immersive digital experiences that replicate face-to-face interactions. Their innovative platform utilizes advanced AI avatar models to enable developers and businesses to produce both asynchronous and real-time video experiences featuring human digital twins. This technology is particularly beneficial for sales teams, as it allows them to enhance their outreach efforts by generating realistic personalized videos that effectively mimic customers' gestures and voices. Clients can easily record a single video, which Tavus' platform then transforms into customized content that can be viewed with just one click.

Groundlight is a technology company that simplifies the implementation of computer vision and machine learning for developers. By providing straightforward English language instructions and a minimal amount of code, Groundlight enables users to programmatically interpret photos. The company's innovative escalation technology enhances the accuracy of results by forwarding low-confidence outcomes to more advanced machine learning systems and human experts. This approach eliminates the need for extensive data gathering and training, allowing users to quickly develop functional models within minutes. Groundlight's solutions aim to improve the way machines understand and interact with the visual world.

Encord offers a unified data development platform specifically designed for vision and multimodal artificial intelligence applications. The company provides tools and infrastructure that enable clients to accelerate the deployment of their AI models through a data-centric approach to model testing and evaluation. Encord's platform includes human-centric workflow and annotation tools for labeling and reinforcement learning from human feedback, alongside data curation and management software. Additionally, its active learning capabilities automate the manual annotation process for computer vision, allowing data scientists and researchers to collaboratively annotate data, manage active learning pipelines, and address dataset errors and model biases efficiently. This comprehensive suite of features aims to streamline the data preparation process, significantly reducing the time spent on manual labeling tasks.

Dexterity Inc., established in 2017 and headquartered in Palo Alto, California, specializes in robot dexterity solutions for logistics, warehousing, and supply chain operations. The company offers a 'robots as a service' model, providing businesses with efficient integration of robotics into their supply chain. Dexterity's flagship product, DexR, is a two-armed robot equipped with machine vision and force sensing technologies, designed for tasks such as truck loading.

CrowdAI, Inc. is a technology company based in Mountain View, California, founded in 2016. It offers an artificial intelligence-as-a-service platform designed for analyzing imagery from autonomous vehicles, satellites, and drones. The platform enables users to create custom machine learning models for processing and interpreting images and video, making it accessible to individuals without a data science background. By transforming raw visual data into structured insights, CrowdAI facilitates the identification of features in satellite imagery and the tracking of obstacles for self-driving cars and automated drones. This approach not only streamlines the model creation process but also allows for the integration of real-time data, supporting operational decision-making across various applications.

Piccolo is a developer of gesture-based smart home vision assistant technology that employs artificial intelligence to enhance user interaction within their homes. The company's innovative system tracks the movement of individuals, allowing it to respond according to personalized preferences without the need for continuous human input. By mapping the user's skeletal geometry, Piccolo's technology enables users to control connected devices, such as smart TVs and lights, through intuitive gestures. This approach aims to simplify the management of smart home environments, making technology more accessible and user-friendly.

Dexterity Inc., established in 2017 and headquartered in Palo Alto, California, specializes in robot dexterity solutions for logistics, warehousing, and supply chain operations. The company offers a 'robots as a service' model, providing businesses with efficient integration of robotics into their supply chain. Dexterity's flagship product, DexR, is a two-armed robot equipped with machine vision and force sensing technologies, designed for tasks such as truck loading.

Passenger AI develops remote monitoring software specifically for robotaxi operations. The company's technology employs deep learning and computer vision to automatically identify in-cabin incidents, such as passengers smoking, littering, or carrying weapons. By providing fleet operators with the necessary tools to intervene in these situations, Passenger AI enhances fleet management capabilities, contributing to safer and more efficient autonomous mobility.

IUNU, Inc. is an agricultural technology company based in Seattle, Washington, that specializes in developing an AI-driven computer vision platform for greenhouse management. Founded in 2013, IUNU offers a comprehensive SaaS-based solution known as LUNA, which monitors crop growth and provides growers with actionable insights to enhance production management. The platform connects plants, facilities, and personnel through a unified interface, enabling farmers to efficiently manage crop cycles and identify potential issues before they impact yield. By promoting accountability in growing practices, IUNU empowers clients to optimize their operations and improve overall productivity in commercial greenhouse environments.

Standard Cognition is an artificial intelligence platform that allows buyers to grab what they want without having to go to a cashier. It empowers consumers to shop and pay without waiting in line, scanning or stopping to check out. Available to any retailer, the solution helps reduce labor costs, improve the customer experience, and improve profit margins. It also helps small-size retailers to compete with larger chains and online offerings. Standard Cognition was founded in 2017 and is based in San Francisco, California.

Perceptive Automata, Inc. specializes in developing machine learning and computer vision solutions focused on human behavior prediction for automated vehicles. Founded in 2014 and based in Somerville, Massachusetts, the company addresses critical challenges in the safe deployment of highly automated and fully autonomous vehicles, particularly in urban settings. Its technology enables these vehicles to anticipate the actions of pedestrians, cyclists, and other drivers, allowing for safe navigation in human-dominated environments. By employing advanced AI inference models, Perceptive Automata enhances the driving experience, facilitating smoother and more natural interactions between autonomous vehicles and their surroundings. The company collaborates with original equipment manufacturers (OEMs), suppliers, and technology firms in the development of advanced driver-assistance systems (ADAS) and autonomous driving technologies, leveraging expertise from leading institutions such as Harvard, MIT, and Stanford.

Iris Automation Inc. is a technology company focused on developing collision avoidance systems for industrial drones, enhancing their operational safety. Founded in 2015 and based in San Francisco, California, with an additional location in Reno, Nevada, the company offers an artificial intelligence system that combines real-time imagery with 3D mapping to detect and avoid both static and dynamic obstacles. This system, known as Casia, can function on-board aircraft or in ground-based configurations, facilitating safe flights with minimal human intervention. Iris Automation also collaborates with global civil aviation authorities to create regulatory frameworks that enable uncrewed aircraft to operate beyond visual line of sight. The company is actively involved in various pilot programs, including those with the FAA and NASA, and has been recognized for its technological innovations in the aviation sector.

Iris Automation Inc. is a technology company focused on developing collision avoidance systems for industrial drones, enhancing their operational safety. Founded in 2015 and based in San Francisco, California, with an additional location in Reno, Nevada, the company offers an artificial intelligence system that combines real-time imagery with 3D mapping to detect and avoid both static and dynamic obstacles. This system, known as Casia, can function on-board aircraft or in ground-based configurations, facilitating safe flights with minimal human intervention. Iris Automation also collaborates with global civil aviation authorities to create regulatory frameworks that enable uncrewed aircraft to operate beyond visual line of sight. The company is actively involved in various pilot programs, including those with the FAA and NASA, and has been recognized for its technological innovations in the aviation sector.

Prenav, Inc. specializes in developing automated systems for infrastructure inspection, leveraging advanced drone technology and AI. Founded in 2013 and based in San Carlos, California, the company’s innovative platform combines commercial drones, ground guidance robots, and sophisticated software to conduct precise inspections of complex structures such as cell towers, wind turbines, and bridges. Their technology enables drones to navigate with centimeter-level accuracy, allowing for the inspection of critical components like bolts and cabling, while also capturing detailed imagery to create accurate 3D models of industrial assets. This approach significantly enhances safety and efficiency by replacing traditional inspection methods, which often involve climbing or scaffolding, with automated, cost-effective solutions. With a strong team of experts in robotics and computer vision, Prenav is focused on addressing fundamental challenges in the field and expanding its capabilities for various industrial applications.

Carmera develops a street-level intelligence platform that offers real-time 3D maps and critical navigation data for autonomous vehicles. The company also provides 3D scene reconstruction and analytics data tailored for sectors such as architecture, construction, and real estate. Carmera operates a proprietary and crowdsourced vehicular sensor network that continually collects updated 3D scene data and change detection analytics. Its technology enhances safety for vehicles on urban streets while adhering to privacy standards. By delivering rich insights through advanced machine vision and geospatial data pipelines, Carmera aims to facilitate informed decision-making in various industries, ultimately striving to automate urban environments with accessible, real-time intelligence.