Infinitum Partners

Groq, Inc. specializes in manufacturing high-performance accelerators and computing engines for artificial intelligence, machine learning, and deep learning applications. Founded in 2016 and headquartered in Mountain View, California, the company leverages its proprietary Tensor Streaming Processor architecture to deliver up to 250 trillion floating-point operations per second. Groq's technology is designed to efficiently handle the complex computations necessary for advanced machine learning models while ensuring low power consumption, making it suitable for large-scale deployments. The company's systems utilize deterministic performance, allowing for predictable outcomes and compute times for various workloads, thus enhancing operational efficiency in AI and quality-performance computing.

Enfabrica is a technology company focused on developing innovative hardware and software solutions aimed at addressing the performance and scalability challenges of artificial intelligence (AI) and accelerated computing workloads. The company specializes in converged networking and memory fabric silicon, which are designed to enhance system efficiencies and performance across various infrastructures, including hyper-scale cloud, edge computing, enterprise systems, and automotive applications. By incorporating advanced technologies such as compute express link, Enfabrica enables businesses to optimize resources and manage multiple graphics processing units effectively. Its products and foundational fabric technologies are geared towards meeting the increasing demands of modern computing environments, particularly in the realm of AI and machine learning.

SeedN specializes in temperature management solutions for office environments, focusing on improving the energy efficiency of air conditioning systems. The company offers a smart thermostat that integrates an Internet of Things (IoT) device with a mobile application. This technology enables users to remotely control heating and cooling systems while providing data analysis on real-time weather and indoor temperature. By predicting energy demand for different spaces, SeedN's solutions help users reduce electricity consumption and enhance the overall sustainability of their air conditioning operations.

ArriVent Biopharma is a clinical-stage biopharmaceutical company focused on developing innovative treatments for currently untreatable cancers. The company is committed to addressing unmet medical needs in oncology by leveraging its team's extensive drug development experience. ArriVent aims to maximize the potential of its lead candidate, furmonertinib, while advancing a pipeline of novel therapeutics, including next-generation antibody-drug conjugates. With an initial emphasis on solid tumors, ArriVent seeks to bring differentiated medicines from development through to commercialization, ultimately improving patient outcomes in cancer treatment.

Monolith Inc., founded in 2014 and based in Jeju, South Korea, specializes in the development of mobile games. Additionally, the company focuses on creating smart parks that integrate technology with play spaces for children, offering innovative recreational solutions. Through its dual approach, Monolith aims to enhance children's play experiences while leveraging technological advancements in its gaming and park designs.

Ayar Labs, Inc. specializes in the development of optical interconnect technology, focusing on high-density electronic-photonic chiplets and lasers designed to enhance data transmission capabilities. Its flagship product, TeraPHY, is a monolithic in-package optical I/O solution that enables high bandwidth, low latency, and power-efficient short-reach interconnects, making it suitable for applications in artificial intelligence, high-performance computing, cloud computing, telecommunications, and aerospace. The company's innovative approach leverages industry-standard silicon processing techniques to create optical interconnect chiplets that replace traditional electrical-based I/O, addressing performance and efficiency challenges in the semiconductor and computing industries. By optimizing data movement within AI systems, Ayar Labs aims to alleviate compute and bandwidth bottlenecks associated with complex large language models, thereby maximizing computational efficiency while minimizing costs and power consumption. Established in 2015 and headquartered in Emeryville, California, Ayar Labs also has an office in Santa Clara, California.

VAGames is a mobile game development company specializing in the subculture genre. It creates character collection-type strategy RPG games, employing 3D cartoon rendering graphic technology to enhance the visual experience. Through a publishing partnership with Smilegate Megaport, VAGames delivers engaging and user-friendly mobile role-playing games that cater to a diverse audience of gamers. The company's focus on innovative graphics and gameplay mechanics positions it uniquely within the mobile gaming market.

ConnectRN, Inc. operates an online platform that connects healthcare providers, such as hospitals and clinics, with qualified nurses seeking employment. Founded in 2014 and based in Newton, Massachusetts, the platform streamlines communication between nurse managers and nursing staff through a web dashboard and an alert system that notifies nurses of available shifts on their mobile devices. This tech-enabled network not only facilitates the filling of open positions in healthcare facilities but also fosters a supportive community for nurses, enhancing their access to job opportunities and professional support.

HandHug is a content commercialization company that operates an e-commerce platform designed to facilitate the creation and sale of products and brands in collaboration with creators. The company provides the necessary infrastructure for developing new products, enabling creators to build their brands effectively and market their offerings. By focusing on the intersection of content and commerce, HandHug aims to empower creators to monetize their work while offering consumers access to innovative products.

Sourcegraph, Inc. is a company that develops a universal code search tool designed to enhance code discovery, code intelligence, and code change management. Founded in 2013 and headquartered in San Francisco, California, Sourcegraph provides developers with the ability to quickly locate, understand, and manage code across growing codebases and diverse repositories. Its platform enables seamless navigation of code in any repository and branch through a web browser, allowing developers to maintain local context while working. This capability improves productivity, facilitates efficient code reviews and onboarding for new hires, and automates large-scale code changes. Sourcegraph serves a wide range of users, including startups, enterprises, developers, DevOps teams, site reliability engineers, and engineering leaders, thereby empowering them to focus on solving problems rather than struggling with code search.

Babson Diagnostics, Inc. is a healthcare technology company based in Austin, Texas, focused on revolutionizing blood testing by enabling lab-quality diagnostics in retail settings such as pharmacies and grocery stores. Founded in 2017, the company has developed an innovative device that collects blood samples using only a small volume of capillary blood from the finger, significantly reducing the amount needed compared to traditional venipuncture methods. This approach not only simplifies the blood collection process but also ensures that results are accurate and can be delivered within a short wait time. By analyzing these samples at CLIA-certified clinical laboratories, Babson Diagnostics aims to make diagnostic testing more accessible and convenient for consumers.

Groq, Inc. specializes in manufacturing high-performance accelerators and computing engines for artificial intelligence, machine learning, and deep learning applications. Founded in 2016 and headquartered in Mountain View, California, the company leverages its proprietary Tensor Streaming Processor architecture to deliver up to 250 trillion floating-point operations per second. Groq's technology is designed to efficiently handle the complex computations necessary for advanced machine learning models while ensuring low power consumption, making it suitable for large-scale deployments. The company's systems utilize deterministic performance, allowing for predictable outcomes and compute times for various workloads, thus enhancing operational efficiency in AI and quality-performance computing.

ConnectRN, Inc. operates an online platform that connects healthcare providers, such as hospitals and clinics, with qualified nurses seeking employment. Founded in 2014 and based in Newton, Massachusetts, the platform streamlines communication between nurse managers and nursing staff through a web dashboard and an alert system that notifies nurses of available shifts on their mobile devices. This tech-enabled network not only facilitates the filling of open positions in healthcare facilities but also fosters a supportive community for nurses, enhancing their access to job opportunities and professional support.

HandHug is a content commercialization company that operates an e-commerce platform designed to facilitate the creation and sale of products and brands in collaboration with creators. The company provides the necessary infrastructure for developing new products, enabling creators to build their brands effectively and market their offerings. By focusing on the intersection of content and commerce, HandHug aims to empower creators to monetize their work while offering consumers access to innovative products.

Groq, Inc. specializes in manufacturing high-performance accelerators and computing engines for artificial intelligence, machine learning, and deep learning applications. Founded in 2016 and headquartered in Mountain View, California, the company leverages its proprietary Tensor Streaming Processor architecture to deliver up to 250 trillion floating-point operations per second. Groq's technology is designed to efficiently handle the complex computations necessary for advanced machine learning models while ensuring low power consumption, making it suitable for large-scale deployments. The company's systems utilize deterministic performance, allowing for predictable outcomes and compute times for various workloads, thus enhancing operational efficiency in AI and quality-performance computing.