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SoftQuantus

Umbrella venture studio for AI Previsions, software, and deep‑tech incubation. Builds, funds, and scales products across FinTech, PropTech, Robotics, and Luxury.

SoftQuantus is the umbrella organization orchestrating product, brand, and IP development across multiple verticals. Focus areas include AI agents, cloud-native platforms, data infrastructure, robotic systems, and high‑end digital commerce. The studio drives standards for compliance, telemetry, and partner ecosystems following a platform-licensing model.

Products & Services

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Capital Markets / Asset Mgmt — Quantum Signal Pack

What: Turnkey pipeline that ingests equities data, engineers features (Return, MA10, MA50, Volatility, RSI/MACD variants), and learns a quantum‑hybrid classifier (StronglyEntanglingLayers) with early‑stopping and fold metrics.

Industries: Buy‑side, sell‑side, retail brokers, fintech data vendors.

Service forms: 4–8 week PoC, then managed signal API (per‑symbol/per‑inference), or on‑prem build.

ROI levers: ↑Win‑rate on signals, ↑capacity (more names/intervals), ↓cloud cost via classical layer quantization.

Key capabilities

  • Feature store with rolling windows and leakage‑safe backtests
  • Quantum‑hybrid model zoo (QNN + classical heads) with reproducible notebooks
  • Evaluation suite: precision/recall on directional calls, risk‑adjusted metrics (e.g., Sharpe‑like), out‑of‑sample folds
  • Deployment options: batch scoring, streaming (Kafka), or REST inference
  • Governance: experiment tracking, audit logs, model cards, rollback plan

Delivery outline

  1. Discovery & data audit (1 week): universe, horizons, guardrails
  2. Prototype pipeline (2–3 weeks): features, baselines, initial Q‑hybrid
  3. Backtest & metrics (1–2 weeks): A/B vs. baseline, stability, capacity
  4. Rollout (1–2 weeks): API or on‑prem deployment, runbook, monitoring

For partnerships or a tailored PoC, contact us via the website or the /contact page.