For thirty years, the limit on pattern recognition has been compute. Doug found seasonal sales patterns by hand in the 1980s, then on a Thinking Machines supercomputer, the second one ever sold commercially. Today the same lineage of work runs on a 75-computer private data center, scoring roughly 140 million properties across more than 16,000 variables each.

The swarm intelligence architecture was built to use whatever compute it is given. The next size of compute is quantum, and the system is already running on it.

Swarmalytics has run its analytics on quantum hardware from IonQ, a company building some of the most advanced quantum computers in the world.

Why this matters has nothing to do with owning a quantum computer.

The problems that Swarmalytics already solves are combinatorial. Finding sixty contiguous acres inside a city meant searching more than a billion property combinations over a whole weekend. Quantum hardware opens combination spaces at a scale that classical machines can’t reach in any time-frame that a company can afford.

For a buyer, the question is simple: is the hardest version of your problem now solvable?

For most analytics providers it isn’t, because they are already at the maximum edge of what their compute allows.

Swarmalytics, however, has already moved the work onto the next platform and it is more capable than ever.