Next-Generation Computing

Probabilistic Hardware and Software for Optimization and AI

Sqortex builds next-gen computing platform to accelerate large-scale AI and optimization problems faster and more energy-efficiently than classical computers.

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The Challenge

The Compute Wall

Exploding Demand

AI compute demand is accelerating faster than hardware supply can scale.

Unsustainable Energy

Data center energy consumption is rising faster than renewable capacity.

Scaling Bottlenecks

Classical scaling is slowing. Quantum promises breakthroughs, but large-scale practical deployment remains uncertain.

Sqortex provides a scalable probabilistic computing architecture designed for optimization — available on a near-term roadmap.

Our Approach

Hardware-Native Probabilistic Computing

Sqortex uses stochastic nanodevices (p-bits) that harness physical randomness as a computational primitive. This enables hardware-level optimization that classical architectures cannot achieve.

Physical stochastic switching

Optimization accelerator architecture

CMOS-compatible roadmap

Applications