"The central bottleneck is no longer the speed of computation, but the latency of anticipation—the immense, system-wide cost of waiting for a question to be asked before seeking an answer."
No one else has successfully integrated these foundations into a single, cohesive system. Until now.
Not another point optimization. A complete architectural break that eliminates boundaries between network, memory, and compute layers.
Our platform moves beyond simple prefetching. It enables a new class of smart applications that can signal their future intent, ensuring data is delivered with a prescience that feels like magic.
Not academic exercises. Production systems operating in the most demanding computational environments on Earth.
MASH is our first public module: a data-aware GPU sorting engine for NVIDIA Blackwell. Instead of treating every batch like white noise, it runs a single bandwidth-bound fingerprint pass, understands the shape of the data, and routes to cheaper correct strategies. On nice workloads it takes the win; on adversarial ones it behaves like a well-tuned generic sort.
| Distribution | Speedup |
|---|---|
| Presorted | 8.64× |
| Reverse | 4.29× |
| Uniform random | 1.41× |
| Zipfian (Heavy-tail) | 1.33× |
We are not building a faster reactive engine.
We are building the world's first anticipatory computing platform.
"We are moving from dumb, imperative commands to an intelligent, adaptive dialogue. We are not just selling speed; we deliver prescience."
Some optimize what is.
Others improve what was.
We architect what must be.
We're assembling a team of revolutionaries. If you see the paradigm shift coming and want to help build it, we need to talk.