Motor Driver ASICs
Integrated drivers for every joint
Single-chip BLDC and PMSM drivers that combine gate drive, power stage, current sensing and field-oriented control, so actuators get smaller, cooler and more precise.
Research Lab — Hardware & Edge AI
Silicon for
intelligent motion
Super Intelligence Labs designs efficient hardware for robotics: motor-driver and ESC ASICs, with edge AI built into the silicon that moves every joint.
01 — The Problem
Robots are getting smarter. The hardware that moves them hasn’t kept up.
Every joint in a modern robot still relies on a patchwork of discrete parts: a general-purpose microcontroller, a separate gate driver, external MOSFETs, sense resistors, encoders and a board full of passives.
The result is wasted power, wasted space and control loops that are slower than they need to be. As robots move toward dozens of actuators and onboard intelligence, that stack becomes the bottleneck.
Today — discrete stack
MCU
Gate Driver
FETFETFETFETFETFET
Current Sense AFE
Encoder IF
Comms PHY
+ 80 passives
- Board-level latency
- Large footprint per joint
- Losses at every interface
Our approach — one chip per joint
Edge AI core
FOC engine
Gate drive
Power stage
Sensing
Safety + Comms
- On-die control loops
- Fraction of the footprint
- Designed for efficiency first
02 — Our Approach
We put the motor controller, the power stage and the intelligence on the same piece of silicon — so a robot’s joints can sense, decide and drive in microseconds, not milliseconds.
Less silicon. More motion.
1chip per actuator — drive, sensing, control and inference integrated
µscontrol loops closed on-die, with no round-trip to a host processor
EdgeAI inference next to the motor, not in the cloud
03 — Research Areas
Hardware for the robots that come next.
Three research programs, one goal: efficient, intelligent actuation.
ESC ASICs
Electronic speed control, reimagined
Purpose-built ESC silicon for drones, rotors and high-speed drives: fast commutation, sensorless startup and protection logic in a package light enough for flight.
Edge AI
Intelligence at the actuator
Tiny, efficient neural engines on the same die as the driver: learned control, motor-health prediction and adaptive tuning that run in real time, with no host CPU and no cloud.
04 — Mission
More intelligence. Less energy.
Our mission is to give every robot a nervous system worthy of its brain: hardware that is efficient by design, intelligent at the edge and small enough to disappear into the joint.
We research and design the chips that sit between AI and the physical world, turning decisions into torque with as little wasted energy, latency and board space as physics allows.
Sense. Compute. Drive. Move.
05 — Applications
Built for the machines that matter.
- AHumanoid RobotsDozens of compact, high-torque joints that need efficient, synchronized drives.
- BDrones & UAVsLightweight ESCs where every gram and every milliwatt counts for flight time.
- CQuadrupeds & Legged RobotsFast, back-drivable actuators with on-chip torque control for dynamic locomotion.
- DIndustrial & Collaborative ArmsPrecise, safe and efficient servo drives for the factory floor.
- EMobile Robots & AMRsEfficient traction drives that extend battery life across long shifts.
06 — Research & Insights
Notes from the lab.
Get UpdatesRunning learned control loops inside the motor driver
Efficiency at the edge: rethinking the electronic speed controller
07 — Team
At the boundary of silicon and motion.
From analog and mixed-signal IC design to power electronics, motor control and embedded machine learning, our team brings together the disciplines needed to turn research into silicon that ships inside real robots.
Analog & Mixed-Signal IC Design
Power Electronics
Motor Control & FOC
Edge ML & Neural Accelerators
Digital Design & Verification
Robotics Systems
See what becomes possible when every joint can think.
Get in Touch
Let’s build the hardware robots deserve.
Building at the leading edge of hardware and AI. We’re actively meeting robotics companies, research partners and engineers who want to work at the frontier of silicon and motion.