Neural Asset Management for Global Liquidity Clusters
Implementation of an autonomous intelligence layer that synchronized cross-continental asset distributions in real-time, resulting in a 14% reduction in idle capital.
Engagement
11 months · 3 phases
Team
Principal engineers, quant strategists, infra leads
14.2%
Capital Efficiency
2.4ms
Execution Latency
$2.1B
Assets Re-balanced Daily
Where the operation was, before us.
A multinational liquidity management group was carrying upwards of nine figures in idle capital across 14 jurisdictions, each governed by a distinct regulatory clock.
Existing rebalancing was nightly, batch-driven, and reactive — every regulatory shock or settlement delay produced cascading inefficiency the desk could not see until the next morning.
The mandate: turn rebalancing into a continuous, regulator-aware process that treats latency as a constraint, not an excuse.
What we built, and why it had to be built that way.
We composed a three-tier intelligence layer that sits between the firm's settlement infrastructure and its trading desks. Every node is observable, every decision is auditable.
Sub-cell prediction
Per-jurisdiction reasoning cells continuously forecast settlement, regulatory and counterparty risk on a 90-second horizon.
Continuous routing
A central optimizer rebalances across cells every 2.4ms, weighted by regulatory cost, FX drag and counterparty appetite.
Auditable trail
Every routing decision is annotated with the inputs that produced it — surfaced as a calm, scrollable timeline for compliance and the desk.
Measured against the hard numbers, not the hype.
14.2%
Reduction in idle capital
vs. nightly batch baseline
92%
Of decisions desk-approved on first pass
0
Audit findings on first regulatory review
“We thought we were buying a faster rebalancer. We bought back our weekends — the desk now spends time on edge cases, not on chasing the obvious.”
Marcus Aldred
Head of Treasury, Aurelius Global
The components we leaned on.
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