Two of them run on electric motors. One is AI data centres. The same IP takes cost out of the system and puts performance in, in all three.
Cheaper, more efficient motor systems.
Same motor, but driven with a pure sine wave by a drive operating 100× faster. The system costs less, delivers higher precision and performance and wastes less energy.
Today: Paid proofs of concept in industrial drives and EV power modules. A reference design in place to support OEMs.
Premium precision from a low-cost motor.
Today every robot joint needs an expensive motor and a sensor. QPT gets the same precision from a low-cost motor, with no sensor.
Today: Running at 1 MHz on MicroDyno, available today for customer demos.
More compute in every rack.
Power equipment eats rack space the processors need. QPT's converters are designed to pack far more power into the same space.
Today: qIPM-DC, designed for the 800 V racks arriving from 2027.
$143Bn by 2030: $56Bn motor drives, $25Bn EVs and charging, $50Bn data-centre power, $12Bn robotics. GPU and CPU cooling not included.