Quantitative portfolio math engineered at hardware speed.
Aquon builds Aqua, a computation engine that adapts to the machine it runs on, and Zeton, the investment platform built on top of it.
The platform
Zeton: the platform.
Below the institutional tier, capable managers assemble spreadsheets, broker APIs and point tools to approximate what an Aladdin-class system does in one place. Zeton is that system, built for them: one platform, broker-agnostic, with an audit trail under every decision.
Construct. Construct and optimize portfolios, then backtest before deploying.
The engine
Aqua: the engine.
Most numerical software is written once and runs the same way everywhere: on a laptop, a cloud instance, a workstation. It is tuned for a machine nobody is actually using.
On a constrained cloud, Aqua routes to conservative parallelism and cache-blocked kernels.
Nothing is configured by the caller. Your code never changes; Aqua re-routes underneath.
Demonstrated impact
Earned, not asserted.
Speed
5–15× faster
Against our own pre-Aqua implementation, on our own backtest, not a third-party system. The upper end depends on available cores.
Correctness
1 in a billion
Every financial metric matched the reference to within one part in a billion.
General workloads
1.3–1.9× faster
Consistent acceleration on broader numerical computing.
Across 209 tests on five hardware configurations.
Finance first. Not finance only.
The constraint Aqua removes is not specific to portfolios. Wherever heavy numerical work meets fixed hardware and no tuning budget, the same problem appears, and the cost of running that work is now a first-order limit on who can build at all.
These are directions we are researching, not products we ship today.
Ready to see Zeton?
Talk to our team, or explore the platform built on Aqua.