The Robots of
Tomorrow, Today.
We're building the hardware & software infrastructure that allows intelligent robots to be deployed in the real world, today.
The world can't wait.
The world teeters on the brink of infrastructure collapse as growing numbers of people abandon physical labor. Humanity's hailed solution? Robots. Yet most remain trapped in labs, performing dances for entertainment rather than tackling real-world tasks. They're simply not ready to join the workforce and seal the gaps.
In the interim, these labor shortages inflate costs, restrict services, and erode the overall quality of life for everyone.
Robustness over Generality.
Everyone in the field is chasing embodied general intelligence. But we understand that robots don't need to master everything to transform industries; they just need to excel at economically vital tasks with high reliability.
That's why we're pioneering compact savant models that match human-level performance in targeted domains, and relentlessly focus on a frictionless customer experience that completely democratizes access to autonomous systems.
“Deploying at massive scale will ironically pave a faster path to general intelligence than the popular one-model-to-rule-them-all approach.”
End-to-end, from data to deployment.
At Eden, we've laid the foundational building blocks to deploy intelligent robots at scale. Our complete end-to-end data pipeline automates the entire process.
Capture
High-fidelity data captured via purpose-built exoskeleton suits for precise ground-truth collection, or directly from robots in real-world environments.
Refine
Expert annotators leverage SuperAnnotate, our custom AI annotation platform engineered for the era of physical intelligence, to refine every frame.
Train
Data flows into LIA, our state-of-the-art robot training platform, accelerating model development and real-world performance.
Complementing this, Interlink, our state-of-the-art remote teleoperation system, enables human-in-the-loop oversight, allowing our robots to detect when they're stuck and request assistance from skilled human operators.
We've built all the supporting software infrastructure that makes deploying these robots today possible and frankly, inevitable. Our next step is to build the world's simplest and yet most compelling hardware platform and create an experience for consumers of unprecedented delight.
Built at velocity.
From founding to full-stack platform in 71 days. Each milestone brings us step closer to intelligent autonomy at scale.
Eden Robotics is founded.
End-to-end data operations become fully operational.
Google DeepMind requests access to our data for potential collaboration.
Our AI annotation platform, purpose-built for physical intelligence, is launched.
The state-of-the-art robot training platform is launched.
Version 1 of the hardware exoskeleton for high-fidelity data collection is built.
Interlink Beta, SuperAnnotate 1.0 & LIA 1.0.
The people behind Eden.

Stamatis Floratos
Co-founder, CEO
At 13, solo-built a B2B advertising platform and scaled it to seven-figure revenue by 16, working with Netflix, ByteDance, Amazon, and more. Studied on academic scholarship at the Hellenic American Education Foundation and earned his degree from the London School of Economics. Later founded a mobile app studio, scaling it to six-figure ARR before exiting to pursue his true calling: accelerating the arrival of intelligent robots in the real world.

Dr. Joey Humphreys
Co-founder, CTO
Holds a degree in Mechanical Engineering, complemented by a Master's and PhD in Robotics, specializing in deep learning for robot locomoation and manipulation. Hands-on experience across nearly every robot morphology, with publications in top-tier journals including Nature and IEEE, along with features on the BBC and The Telegraph. In his spare time, he designs and builds rockets and rocket engines.
We will build insanely great robots and provide delightful customer experiences in a way that advances humanity, and relentlessly pursue embodied general intelligence to build better worlds for all.