Banseok Lee
CEO
Inference Expert
UCLA
Super Tiny
Robot Brain
Intelligence that fits inside the robot.
18 ROLLOUTS / 6× PLAYBACK
Robot brains are getting better
The next challenge is deployment.
Two ways to deploy.
Two problems.
01 / CLOUDRemote brain
NETWORK
RobotConnection risk
02 / ON BOARDJetson Thor
LOCAL COMPUTE
RobotCost + power
Both become harder at fleet scale.
Customer-required task success rate
99.997%
A dropped connection
can’t mean a failed task.
NETWORK OFFLINE LOCAL FALLBACK
The onboard trade-off
$5,000
Jetson Thor T5000 compute module*
Jetson Thor T5000 compute module*3h work / 1h rest
Operating scenario
Downtime eats ROI.
*NVIDIA module MSRP: $4,999 at 1,000+ units. Duty cycle depends on the robot and workload.
OUR GOAL
$1,000
Jetson Orin NX 16 GB compute module*
Built to keep
working.
Intelligence, fully on board.
LOCAL INFERENCE
ON BOARDSmall compute. Continuous inference.
*Module MSRP: $999 at 1,000+ units. Continuous operation is the design goal.
MODEL COMPRESSION · LittleBit (NeurIPS ’25 · ICML ’26)
100×
smaller language models
1 GB~10 MB
DEVELOPED ATSamsung Research
GALAXY DEPLOYMENT PIPELINE200M devices per year
LittleBit + Speculative Decoding
2× faster
LittleBit + World Action Model
160×
compressed.
Still working.
UnifoLM-WLA-1.0
Jetson Orin NX · All inference on board
We have an
early signal.
4× playback speed
60/90
Successful real-world trials
Zero-shot in new environments3 locations3 fruits2 basketsEarly checkpoint: <10% of planned training
Rollouts at 4×. 60/90 = 66.7%. One-minute trials with retries. The task was seen in training; evaluation setups were new.
OUR GOAL
The whole brain.
One small chip.
System 2VLM
System 1VLA · WAM
System 0Control
ALL ON BOARDJetson
Orin NX
Orin NX
01
NEXTSuper-Efficient
Binary Inference
Chip
Binary Inference
Chip
TEAM
Four researchers who worked
together at Samsung Research
Lohith Ravuru
CTO
Training Expert
IIT Bombay - JEE Rank 4
Y Kim, PhD
CRO
Humanoid Expert
KAIST
J Lee
CPO
AI & Robot Systems Expert
Yonsei University
The Ask
$8M
- GPU compute
- $5M
- Team
- $2M
- Hardware
- $1M
Milestones after funding
6 months
Run GR00T 2.0 on
Jetson Orin NXFrontier open-source robot model
12 months
First shipment to a
high-volume manufacturerEarly discussions with LG
Our models & software.
Their data & hardware.18 months
Add on-device
VLM reasoning