Synthara develops next-level AI chips for the edge, combining high performance with great energy efficiency
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Founder Interviews
Quantastica: Shaping the Future of Quantum Algorithm Development
Quantastica shapes the future of computing by generating and optimizing quantum algorithms tailored to specific use cases.
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Circuit Mind: Shaping the Future of Electronic Systems
Circuit Mind assists electrical engineers in designing circuits matching the requirements within minutes instead of months.
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Quantum Brilliance: Shaping the Future of Room-Temperature Quantum Computing
Quantum Brilliance: Shaping the Future of Room-Temperature Quantum Computing Quantum computers promise to perform certain computations much more efficiently than classical computers, and the global race to build and harness their powers has just begun. However, approaches like superconducting or ion trap quantum computers need extreme cooling or advanced laster […]
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LGN.AI: Shaping the Future of Real-World AI
LGN builds the world’s first continuous learning loop for edge AI applications: the open-source, cloud-native framework “Neuroform.”
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Quantistry: Shaping the Future of Computational Chemistry
Quantistry develops a cloud-native and intuitive platform for computational chemistry simulations, so more companies can access them
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Vaxine.io: Shaping the Future of Collaborative Applications
Vaxine.io: Shaping the Future of Collaborative Applications Do you notice lag when collaborating online with colleagues around the world? You’re not alone! As the future of work moves increasingly remote and users and colleagues spread out worldwide, apps and database systems are being challenged to support collaboration in real-time with […]
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HQS: Shaping the Future of Quantum Chemistry
HQS Quantum Simulations develops quantum algorithms for next-level material development and quantum chemistry
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Qdrant: Shaping the Future of Neural Search & Metric Learning
Qdrant: Shaping the Future of Neural Search & Metric Learning Have you ever used Google’s image search? Instead of searching for keywords, you upload an actual image, and the algorithm finds similar images—based on a machine learning algorithm called vector similarity search. It is one example algorithm for neural search: […]
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