About Fractal Computing
Our Origin
Fractal Computing's architecture was designed in the early 1980s by MIT and Stanford computer scientists for a government agency project. The core innovation — Locality Optimization — was built to solve a fundamental problem: data and compute were too far apart, and the gap was making applications slow and expensive.
The science was ahead of the hardware. It took four decades for commodity processors to catch up. When they did, Fractal's architecture unlocked something no one had achieved before: enterprise-scale AI applications that are safe, fast, and cheap to run.
Today the platform runs on off-the-shelf hardware small enough to hold in one hand. Fortune 500 companies across utilities, telecom, and financial services run production AI workloads on Fractal digital twins — billing, customer care, rate planning, transaction processing — serving tens of millions of customers with zero risk of data corruption in their systems of record.
Timeline
In Production
Fractal Computing runs in production at Fortune 500 companies across a diverse array of industries — not in pilots, not in proof of concepts, but in live billing, customer care, and transaction processing systems where data integrity is non-negotiable.
90 days, your production data, zero disruption to existing systems.