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Pierre and Alex weren’t pitching space dreams; they had a scrappy plan to standardize satellite launches. When they explained how any company could deploy to orbit like spinning up a server, we knew we had to lean in.

The founders were already legendary in systems engineering circles. When Avery walked us through his vision of the new internet, where private networks were as simple as email, it felt impossible to most. To us, it felt inevitable.

Grant, Jon, and James knew that we needed a better way to create presentations, landing pages, and marketing collateral without the hassle of formatting or securing scarce design resources. We immediately grasped the pain points they were solving for. The world didn’t need another presentation tool—it needed a faster way to think, build, and communicate from scratch. Enter Gamma, the AI-native design platform that eliminates the friction between a fresh idea and a finished product—no code or design skills required.

Edward’s student project started with a simple question: how do we know what’s written by humans in an AI-saturated world? A few weeks after the release of ChatGPT changed the world, we saw GPTZero as the beginning of a critical new category.

For decades, retirement savings were weighed down by paper, regulation, complexity, and stale incumbents; we saw the true scale of the problem—millions of workers with no path to financial stability. Human Interest proved that even the most entrenched industries can break through inertia.

Founders

Sam Ross

Matt DuVall

Pierre-Damien Vaujour

Alexander Greenberg

Antoine de Chassy

Avery Pennarun

David Carney

David Crawshaw

Grant Lee

Jon Noronha

James Fox

Edward Tian

Alex Cui

Roger Lee

Paul Sawaya

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Quadric

quadric.io

Locations

Burlingame, CA, USA

industry

Artificial Intelligence (AI) · Computer · Semiconductor · Semiconductor Manufacturing · Software

Size

11 - 50 employees

Stage

Series C

founded in

2016

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Quadric has built a unified hardware/software architecture optimized for on-device machine learning inference. Only the Quadric GPNPU (General Purpose Neural Processing Unit) delivers high ML inference performance while also running C++ code without forcing the developer to artificially partition application code between two or three different kinds of processors. Quadric's GPNPU is a licensable processor IP core that scales from 1 to 64 TOPS and seamlessly intermixes scalar, vector, and matrix code.

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