The Forward Deployed
Operating System for
Embodied Intelligence
Forward Deployed (FDE) — capture → data platform → train → deploy, on the customer’s floor.
For work that needs a human in the loop, and floors that can’t let their data leave the building.
From real-world capture to physically-aligned experience.
Capture · Reconstruct · Train · Repeat. Each turn makes the next cheaper and the data more valuable.
Capture
Dual-modal acquisition — Teleport teleoperation and EgoWear first-person wearables. Two hands, real tasks.
Reconstruct
4DGS physical reconstruction — a metric, time-aligned twin of the scene, grounded in real geometry and force.
Train & evaluate
Closed-loop policy training and benchmarking, returning signal that targets the next capture.
What we do, and why it holds up.
We deploy on-site — capture, reconstruct, train, deploy — for the two situations off-the-shelf robotics can’t reach: work that legally needs a human in the loop, and floors that can’t let their data leave the building.
Built on-site
We install where the robots already work. Data stays in-region, and we never compete with the customers whose floors we’re on.
Physically grounded
4DGS reconstruction gives a metric, time-aligned twin of the real scene — not loose video. The texture of reality, made trainable.
One shared standard
An open schema every rig and model can plug into, so data captured once keeps paying off across programs.
We keep the record too.
Clio is our public index of embodied AI — models, companies, benchmarks and papers, with the Chinese ecosystem covered first-hand and written up in English. Free, sourced, and no position is ever for sale.
- Models indexed16
- Companies mapped30
- Benchmarks explained12
- Of companies, China-based16
Memory for machines.
Building robots that work in the physical world? Let’s build their experience together.
info@mnesislabs.ai