We build the technologies that let AI perceive, understand, and act in the real world.
Hyperconnect is a research- and engineering-driven company working at the frontier of Physical AI — where intelligent systems meet the real world.
Today's AI lives behind screens, trained on yesterday's data. We believe the next leap comes from grounding intelligence in the physical world: machines that perceive, data that can be trusted, and infrastructure that scales to billions of connected devices.
Our team brings together distinguished research scientists, top-tier engineers, and experienced builders. We push the frontier of technology and bring impactful innovations into the physical world.
Our mission: make the physical world intelligent — open, trusted, and owned by its users.

Three layers of technology that connect intelligence to the physical world.
AI that can see, hear, and sense — multimodal models and agents that understand live signals from the real world, not just text on the internet.
From perception to action: intelligence that observes physical environments, reasons about them, and responds in real time.
Intelligence is only as good as its inputs. We make real-world data verifiable from the moment it is captured — provable origin, integrity, and ownership.
Privacy-preserving by design: sensitive data stays protected end-to-end while remaining useful for computation and AI.
Scalable, decentralized infrastructure that lets millions of devices and machines discover each other, coordinate, and exchange value — with no single point of failure.
Open by default: built on open protocols so anyone can participate, build, and benefit.
We invest in fundamental research and publish our results.
Multimodal understanding of real-world environments — vision, audio, and sensor fusion — and the reasoning systems that turn raw signals into decisions.
Lightweight cryptography, verifiable computation, and privacy-preserving protocols that establish trust between devices, data, and the intelligence built on top of them.
Consensus, coordination, and storage at planetary scale — the systems research that keeps open machine networks fast, resilient, and affordable to run.
We are hiring scientists and engineers who want their work to leave the screen and reach the real world.
See open roles