Alumni Ventures Group
Alumni Ventures Group is a venture capital firm based in Manchester, New Hampshire, with offices across North America. It provides access to venture investing for individual accredited investors, particularly alumni networks, by offering diversified portfolios of venture opportunities and allowing members to invest alongside fellow alumni in ventures led by peers. The firm backs early-stage and later-stage opportunities across technology, consumer, healthcare, financial services, and other sectors, with a sector- and geography-agnostic approach. It typically invests between $10,000 and $3 million per deal and emphasizes the involvement of alumni connections and an institutional lead investor in opportunities. Alumni Ventures also offers focused funds to broaden participation, enabling accredited investors to access venture portfolios diversified by type, sector, stage, and geography. The model aims to democratize access to venture capital while maintaining rigorous selection standards through alumni networks.
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Past deals in ASIC
NeuReality
Venture Round in 2024
NeuReality is a semiconductor start-up that specializes in designing AI-as-a-service infrastructure to meet the needs of the rapidly expanding AI landscape across cloud, edge, and fog systems. The company develops purpose-built AI-centric architecture, focusing on server-on-chip solutions that reconfigure inference technologies, including computer vision, natural language processing, and recommendation engines. This innovative approach simplifies the implementation of advanced AI functionalities for organizations with limited technical expertise, allowing clients to reduce costs and energy consumption by moving away from traditional CPU-centric models. NeuReality aims to facilitate the adoption of AI technologies across various sectors, making them more accessible and efficient.
Astrus
Seed Round in 2023
Astrus operates an artificial intelligence-powered platform for automating analog microchip layout design. Its deep reinforcement learning and planning algorithms transform schematics into efficient layouts, accelerating the circuit design process.
Syntiant
Series D in 2022
Syntiant designs neuromorphic semiconductors to enable artificial intelligence and machine learning at the edge. It develops ultra-low-power, high-performance neural network processors for always-on applications in battery-powered devices such as hearing aids, earbuds, smartphones, smart speakers and laptops, enabling on-device AI for sensor, voice, and video processing.
Vorticity
Series A in 2022
Founded in 2019, Vorticity specializes in developing domain-specific accelerators initially focused on fluid dynamics. Its proprietary compute architecture significantly enhances the speed of fluid dynamics problem-solving, serving sectors such as aerospace, life sciences, and nuclear energy.
NeuReality
Seed Round in 2020
NeuReality is a semiconductor start-up that specializes in designing AI-as-a-service infrastructure to meet the needs of the rapidly expanding AI landscape across cloud, edge, and fog systems. The company develops purpose-built AI-centric architecture, focusing on server-on-chip solutions that reconfigure inference technologies, including computer vision, natural language processing, and recommendation engines. This innovative approach simplifies the implementation of advanced AI functionalities for organizations with limited technical expertise, allowing clients to reduce costs and energy consumption by moving away from traditional CPU-centric models. NeuReality aims to facilitate the adoption of AI technologies across various sectors, making them more accessible and efficient.
SimpleMachines
Series A in 2018
Founded in 2016, SimpleMachines designs a revolutionary Software-Defined Compute platform. Unlike traditional CPUs, this platform is adaptable to the evolving demands of AI, VR, machine learning, robotics, and big data. It offers the performance of custom silicon while supporting hundreds of use cases, providing a future-proof solution for software developers.
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