Qentara Capital builds portfolio optimization and quantitative analytics software for registered investment advisors and sophisticated investors who demand more from their tools than the industry currently delivers.
The wealth management industry runs on platforms built for operations — reporting, billing, CRM. When it comes to the actual investment decision, advisors and investors are left with spreadsheets, gut instinct, and tools that were never designed to answer the question that matters: what should I do next?
Qentara Capital is building the analytical layer that doesn't exist yet. True portfolio optimization grounded in peer-reviewed financial science. Quantitative signals powered by machine learning. Tax-aware transition planning that accounts for every lot, every jurisdiction, every constraint. A complete view across liquid and illiquid holdings.
Every output reflects a single standard: deeper models, richer data, and engineering that refuses to cut corners.
Existing platforms tell you where you've been. Ours tells you where to go — with full transparency into the quantitative reasoning behind every recommendation.
State-specific capital gains, lot-level impact analysis, wash sale constraints, and gain deferral strategies built into the core engine — not bolted on as an afterthought.
Real wealth spans public equities, real estate, private equity, and alternatives. Our platform treats all of it as a single, optimizable whole.
Institutional-grade portfolio optimization built from the ground up. Black-Litterman allocation with confidence-weighted views, a capital market assumptions engine that synthesizes forecasts from seven leading providers, and a tax-aware transition engine that makes every rebalance as efficient as possible.
Machine learning–driven equity ranking using gradient boosting with learning-to-rank, alternative data signals, and a proprietary dual-channel regime detection system. The quantitative intelligence layer that powers smarter equity allocation across the platform.
Purpose-built rental property management with regulatory compliance automation, depreciation tracking, Schedule E tax bridge, and Real Estate Professional hour documentation — designed for investors who treat real estate as a portfolio asset, not a side project.
Quantitative deal sourcing and underwriting for multifamily investors. Market screening, comparable analysis, and acquisition modeling that brings the same analytical rigor to real estate that institutional equity investors expect from their public market tools.
Black-Litterman with Idzorek confidence calibration, Ledoit-Wolf shrinkage estimation, regime-switching risk frameworks. Every model is grounded in peer-reviewed financial science — not marketing heuristics.
Cloud-native on AWS. Bank-grade encryption, comprehensive audit logging, and security-first architecture. The engineering standards of a platform that handles real capital.
Every output is designed to be acted on — not just reviewed. Full transparency into assumptions, sensitivities, and confidence intervals so advisors and investors can make informed decisions with conviction.
Four products built as a connected ecosystem. Quantitative signals inform portfolio optimization. Real estate holdings are valued alongside public equities. One unified view of total wealth.
Former CTO with deep expertise in systems architecture, data engineering, and quantitative analysis. Shawn combines a technical background building production-scale software with active experience as a private real estate investor. He founded Qentara Capital to build the portfolio intelligence platform he couldn't find — one where the models, the data, and the engineering are all held to the same uncompromising standard.