Robotics on real hardware
Manipulation, perception, mobile platforms — tested against real sensors and real constraints, not simulations alone.
The Lab
Research with its
Research with its
sleeves rolled up
Frontier AI is easy to talk about and hard to make work in the real world. Robotics forces the two together. Labs is anchored in a physical robotics lab because that discipline keeps our thinking honest — and our recommendations shippable.
Wide shot of the lab in use
Robot arm / gripper
Sensor rig
Team at the bench
Why a physical lab
Prototypes before proposals
Most advisory work has no cost of being wrong. A slide that doesn't survive contact with reality is still a slide that got paid for. We wanted the opposite: a place where our ideas have to run before we recommend them.
The lab gives us that. Anything involving hardware — a camera, an arm, a sensor, a vehicle — gets built and tested here first. Anything purely digital gets built against real data and real latency on the Edge platform. Either way, by the time a recommendation reaches you it has already been made to work at least once.
It also changes who you get. The engineers who write your monthly report are the same people who spent last week getting a frontier model to run on-device at the bench. That's the difference between reading about the frontier and standing on it.
Frontier models, on-device and in the cloud
Vision-language models, embodied AI, agentic systems — evaluated for what they actually do, not what the launch post claims.
Backed by the Edge platform
When a prototype needs to scale, it moves onto our own sovereign cloud. One team, one infrastructure, no hand-off to a third party.
What's in the lab
Capabilities
An honest inventory. Replace and extend with the actual kit and skills — buyers read this section closely.
- Manipulation
- [Arms, grippers, end effectors — list what you have and what you've done with it.]
- Perception
- [Cameras, depth, LiDAR, thermal — plus the vision stacks you run on them.]
- Mobile platforms
- [Ground robots, drones, or test vehicles if relevant.]
- Compute
- [On-device inference hardware; GPU capacity on the Edge platform for training and evaluation.]
- Models
- [Frontier and open-weight models you evaluate and deploy; fine-tuning and evaluation tooling.]
- Fabrication
- [3D printing, electronics bench, rapid prototyping capacity.]
- Location
- [City / region. Clients can visit.]
Lab notes
What we've been building
Short, honest write-ups from the bench. What worked, what didn't, what it means. Good outreach material and good proof.
[Getting a VLM to run at the bench in under 200ms]
[Two-sentence summary of the experiment and the takeaway.]
Read[Why our first picking prototype failed, and the second didn't]
[Two-sentence summary of the experiment and the takeaway.]
Read[What changed in embodied AI this quarter]
[Two-sentence summary of the experiment and the takeaway.]
ReadCome and see it
The fastest way to understand Labs is to visit. We'll walk you through what's on the bench and what it could mean for your industry.