Ecosystem · Core Institutional Engines

Three engines. One quantitative architecture.

Each engine runs independently and interoperates natively, sharing data, risk and ledger state in real time.

(01)Autonomous Wealth Engine

VALTRIUS

Wealth & Portfolio Engineering

Autonomous individual wealth engines with convex portfolio construction and tax/risk budget optimization.

  • Convex risk-budget allocation
  • Tax-lot aware rebalancing
  • Direct indexing at account scale
  • Mandate & suitability guardrails
1.2M
Portfolios optimized / night
(02)Unified Execution Kernel

QUBEX

Microsecond Execution & Operations Fabric

Kernel-bypass order routing, shadow order book, post-trade settlement, treasury automation and multi-strategy fund operations.

  • Kernel-bypass routing (DPDK / ef_vi)
  • Inline FPGA pre-trade risk
  • Shadow order book reconciliation
  • Treasury & settlement automation
380ns
Tick-to-trade, p50
(03)Alpha Intelligence Engine

SYNATRA

Predictive Machine Learning Alpha

Predictive alpha signals, alternative data processing and machine learning intelligence across horizons.

  • Alternative data ingestion
  • Learned feature extraction
  • Signal decay & capacity modelling
  • Walk-forward validation harness
2.4k
Live signals in production
01Interoperability

How the engines talk.

Engines exchange state over a shared low-latency bus. There are no nightly exports and no reconciliation spreadsheets between them.

FromToPayload
SYNATRA→ QUBEXAlpha signals published in < 2 µs
SYNATRA→ VALTRIUSExpected returns and risk forecasts
VALTRIUS→ QUBEXRebalancing orders, tax-lot aware
QUBEX→ VALTRIUSFills, positions and cash in real time
QUBEX→ SYNATRAExecution and microstructure telemetry
NextInfrastructure→