Cross-asset data engine
Ingests and validates Indian and global equities, commodities, bonds and currency data before every model run.
DATA QUALITYPinaqa combines market data, regime analytics, risk controls and quantum-enhanced optimization to help investment teams build explainable cross-asset portfolios.
Investment Banks
Wealth Teams
CIO Desks
Family Offices
Asset Managers
Pinaqa brings data, signals, optimization and governance into a single workflow that investment professionals can inspect and explain.
Ingests and validates Indian and global equities, commodities, bonds and currency data before every model run.
DATA QUALITYCombines momentum, risk, drawdown, correlation, macro-event and market-regime features into an adaptive signal layer.
MARKET CONTEXTFormulates portfolio selection as a constrained QUBO and blends quantum-derived intelligence with classical portfolio controls.
HYBRID QUBOApplies concentration, defensive, hedge, equity, turnover and transaction-cost controls with a transparent audit trail.
GOVERNANCEEvery recommendation is produced through a repeatable pipeline designed for transparency, robustness and human oversight.
View a sample workflowValidate prices, returns, liquidity and data freshness across the active universe.
Estimate prevailing market regimes and generate risk-adjusted asset signals.
Select the best six-asset portfolio under profile-specific QUBO constraints.
Deliver allocations, rationale, risk metrics, scenario context and governance records.
Risk profiles change the optimizer’s priorities, constraints and holding period—not just a generic volatility label.
Prioritizes downside resilience, defensive diversification and lower turnover while retaining measured participation in growth assets.
The platform is designed to support institutional review, not bypass it. Every portfolio can be traced back to its data snapshot, model configuration, signal weights, constraints and optimization result.
A complete portfolio-intelligence package for advisors, investment committees and end clients.
Selected assets, target weights, constraints and rebalance guidance.
Sharpe ratio, drawdown, turnover, concentration and scenario exposures.
Regime context and explainable reasons for each selected asset.
Data quality, model version, audit evidence and approval history.
Request a conversation about pilot deployments, institutional use cases or strategic partnerships.