CASE STUDIES
Every system listed here is live in production. Real architecture, real constraints, hard numbers. 37+ systems across AI, data engineering, infrastructure, platforms, and real-time processing.
NEXT STEPS
Custom software, AI, and data infrastructure. Fixed scope, full IP transfer. Most projects ship in under two weeks.
Argus generates trading signals continuously across 6 source categories: mean_reversion, novelty_anomaly, regime_caution, trend_following,.
100% Signal sources emitting (6 of 6)
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Argus needed a unified market data foundation across the major crypto exchanges.
~186/min Sustained throughput (per exchange)
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By late April 2026, the Argus data layer held over 800 million rows across bars_1m, bars_1d, and downstream tables.
<6 min Detection speed (silent-dead)
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Argus generated regime signals, novelty anomalies, and trend-following calls from a 1,400-feature engine built on AVX2 SIMD.
3.2x Macro endpoint (1,476ms → 465ms warm)
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Argus generated signals continuously across 6 source types.
927ms Signal emit to execution (end-to-end)
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