Throughput Benchmark
Millions of events processed per second
LABORATORY ACCESS: This is the experimental lab. The proprietary technologies developed here power all of our products.
Building the next chapter of financial models.
Full Deterministic Quant Model
A new class of AI model. Simons separates 'Intent' (LLM) from 'Execution' (Math Core), ensuring that even if your prompt varies, the trading logic remains mathematically identical.
Speed matters when you're iterating on ideas. Written in Julia, Hyperion processes financial events orders of magnitude faster than standard Python engines.
Millions of events processed per second
Crowds are faster than news. If prediction markets show an 80% chance of a supply chain strike, we short the affected logistics stocks days before the strike actually happens.
Scenario: Supply Chain Disruption
Privacy-First Market Generation
We generate statistically identical market data to test strategies without exposing them to real historical feeds. This preserves privacy and prevents look-ahead bias.
Automated Stability Checks
We don't just maximize returns. We map the stability surface of every parameter. If a strategy only works on a "knife's edge" of specific settings, our system rejects it automatically.
We count cars in Walmart parking lots to predict revenue before earnings calls. Our models ingest raw satellite feeds, filtering out clouds and shadows to deliver a pure signal on consumer activity.
Walmart Supercenter #2845 • Bentonville, AR