# Celestice

> Celestice is an AI-powered wealth and investment management platform for portfolio construction, optimization, risk management, stock and asset analysis, and autonomous money-management workflows across every asset class.

Celestice — "Less pain, more gain". This file helps AI assistants and answer engines understand and cite the site accurately. Content is organized below by section; every link is canonical and absolute.

## Core
- [Features](https://celestice.ai/features): Platform capabilities for AI-driven investing.
- [Technology](https://celestice.ai/technology): The AI and data architecture behind the platform.
- [Pricing](https://celestice.ai/pricing): Plans and pricing.
- [Blog](https://celestice.ai/blog): Research and explainers for AI wealth management, retirement, tax, portfolio construction, risk, and alternatives.
- [About](https://celestice.ai/about): About Celestice.
- [Contact](https://celestice.ai/contact): Get in touch.

## Capabilities
- [Automated Rebalancing](https://celestice.ai/features/automated-rebalancing): Drift-triggered, tax-aware rebalancing with compliance prechecks, batch campaign execution, and full audit governance — scaling disciplined portfolio maintenance from single accounts to thousands of mandates.
- [Portfolio Optimization](https://celestice.ai/features/portfolio-optimization): Multi-objective optimization engine with mean-variance, factor-aware, and tax-constrained solvers — constructing efficient portfolios across the full household, from model strategies to personalized direct-index replication.
- [Retirement Planning](https://celestice.ai/features/retirement-planning): Living retirement intelligence with Monte Carlo simulation, Social Security claiming optimization, tax-aware distribution sequencing, and continuous readiness monitoring — turning complex multi-decade plans into governed, adaptive programs.
- [Risk Management](https://celestice.ai/features/risk-management): Continuous portfolio risk surveillance with VaR, CVaR, factor decomposition, stress testing, and reverse stress — institutional risk governance from real-time monitoring through committee-ready remediation.
- [Tax Optimization](https://celestice.ai/features/tax-optimization): Institutional-grade tax engine with lot-level intelligence, autonomous harvesting, wash-sale governance, and multi-year Roth conversion planning — delivering measurable tax alpha across every taxable event.

## Blog
- [AI Agent Sandboxing: Capability-Based Security for Finance](https://celestice.ai/blog/ai-agent-capabilities-sandboxing-governance): How AI agent sandboxing keeps wealth workflows scoped, permissioned, auditable, and unable to use tools or data powers the task has not earned.
- [AI Agent Memory for Wealth Management: What to Store](https://celestice.ai/blog/ai-agent-memory-and-context-wealth): How financial AI memory separates current state, validated outcomes, durable preferences, references, and resumable workflow context.
- [Threat Modeling AI Agents with OWASP and MITRE ATLAS](https://celestice.ai/blog/ai-agent-threat-modeling-owasp-mitre-atlas): How Celestice turns prompt injection, excessive agency, data leakage, memory poisoning, federated identity takeover, and approval bypass into testable agent-security scenarios—with direction testing and paired corpora as verification disciplines.
- [AI Financial Advice Needs Citations: How Grounded Answers Work](https://celestice.ai/blog/ai-knowledge-citations-grounded-answers): Why financial AI answers need source citations, freshness checks, trust levels, knowledge governance, account-data boundaries, and clear uncertainty.
- [AI Risk Intelligence: Portfolio Risk Signals With Evidence](https://celestice.ai/blog/ai-risk-intelligence-operating-layer-not-a-report): How institutions turn fragmented market, portfolio, and exposure data into timely, explainable risk intelligence with evidence attached to every signal.
- [Factor Investing and Signal Fusion: Combining Alpha Signals](https://celestice.ai/blog/alpha-signal-fusion-factor-investing): How factor investing and signal fusion combine valuation, quality, momentum, risk, and market signals while controlling overlap and decay.
- [Financial Advisor Proposal Generation: From Prospect to Client](https://celestice.ai/blog/automated-proposal-generation-prospect-to-client): How advisor proposal generation should connect intake, current-state analysis, scenario comparison, recommendation review, onboarding, and conversion lineage.
- [Client Reporting for Advisors: Why Traceable Source State Matters](https://celestice.ai/blog/client-reporting-traceable-source-state): How advisor client reporting becomes defensible with traceable source data, reconciliation, freshness checks, approvals, assumptions, and audit trails.
- [Compliance Readiness: Controls, Evidence, and Continuous Assurance](https://celestice.ai/blog/compliance-readiness-controls-evidence): How Celestice builds continuous assurance through implemented controls, repeatable tests, scan evidence, scoped deployment identity, reviewable operating records, audit attribution, normalized security event export, and retention under deletion.
- [Connected Accounts in Wealth Management: Data Quality First](https://celestice.ai/blog/connected-accounts-data-quality-portfolio-truth): How connected accounts, aggregation, security resolution, tax-lot support, freshness checks, and warnings determine whether portfolio data can be trusted.
- [AI Financial Research Chat: Cited, Grounded Answers](https://celestice.ai/blog/deep-research-chat-cited-grounded): What research-grade AI chat needs in wealth: scoped questions, cited evidence, structured data boundaries, assumptions, and durable artifacts.
- [Direct Indexing & Tax-Loss Harvesting: How It Works](https://celestice.ai/blog/direct-indexing-tax-loss-harvesting-explained): How direct indexing creates tax-loss harvesting opportunities while managing wash-sale rules, replacement trades, tracking error, tax lots, and transition cost.
- [Durable AI Workflows for Wealth Management](https://celestice.ai/blog/durable-workflow-execution-wealth-platform): Why AI wealth workflows need resumable state, checkpoints, approvals, audit trails, and safe recovery from interruptions.
- [Enterprise SSO for Financial AI: From Assertion to Authority](https://celestice.ai/blog/enterprise-sso-federated-identity-financial-ai): How Celestice federates sign-in to the identity provider a firm already governs—connections and DNS-verified domains, OIDC assertion validation, and the provisioning rules that decide what a validated identity is actually entitled to.
- [How to Analyze a Stock: Valuation, Quality, Risks](https://celestice.ai/blog/equity-analysis-valuation-framework): A stock analysis framework covering business quality, valuation ranges, scenarios, risks, catalysts, portfolio fit, and review discipline.
- [Estate Planning, Trusts, and Liquidity: A Legacy Planning Guide](https://celestice.ai/blog/estate-legacy-planning-transfer-trusts-liquidity): A practical estate planning guide to taxable estate exposure, step-up, trusts, beneficiary designations, liquidity gaps, charitable giving, and review cadence.
- [Fixed Income Analytics: Duration, Convexity, Spreads](https://celestice.ai/blog/fixed-income-analytics-duration-convexity-spread): How bond portfolio risk works through duration, convexity, spread, key-rate exposure, yield, income, liquidity, and curve shocks.
- [Goals-Based Wealth Planning: How to Fund What Actually Matters](https://celestice.ai/blog/goals-based-wealth-planning-explained): How goals-based financial planning connects timelines, priorities, shortfall risk, tax constraints, scenario testing, and portfolio actions.
- [AI Wealth Management: Governed Autonomy at Scale](https://celestice.ai/blog/governed-autonomy-scaling-ai-without-losing-control): How AI wealth management can scale portfolio work with entitlements, pre-trade checks, risk-tiered approvals, evidence, and human control.
- [Investment Policy Statement: Portfolio Guardrails](https://celestice.ai/blog/investment-policy-compliance-ips-explained): How an investment policy statement turns objectives, constraints, suitability, risk limits, approvals, and audit trails into portfolio guardrails.
- [Model Portfolio Construction for Advisors](https://celestice.ai/blog/model-portfolio-construction-explained): How model portfolios use sleeves, target weights, restrictions, version control, drift monitoring, and account-level implementation rules.
- [Monte Carlo Retirement Simulation: How to Read Probability of Success](https://celestice.ai/blog/monte-carlo-simulation-retirement-planning): How Monte Carlo retirement simulation explains success probability, depletion risk, percentile bands, sequence risk, and the assumptions driving the result.
- [Multi-Agent AI in Wealth Management: How Specialist Agents Collaborate](https://celestice.ai/blog/multi-agent-collaboration-wealth-management): How specialist AI agents collaborate on tax, planning, risk, research, trading, and reporting with supervisors, handoffs, attribution, and approvals.
- [Portfolio Optimization Methods: How to Choose the Right Model](https://celestice.ai/blog/optimization-series-01-the-gallery): A tour of portfolio optimization methods and why objectives, constraints, data quality, governance, and comparison matter more than one perfect model.
- [Tail-Risk Portfolio Optimization: CVaR, EVaR, Regret](https://celestice.ai/blog/optimization-series-02-tail-risk): How CVaR, EVaR, tail-risk parity, and regret-aware methods focus optimization on severe losses instead of average behavior.
- [Drawdown Risk in Portfolio Optimization](https://celestice.ai/blog/optimization-series-03-drawdown): How drawdown-aware optimization evaluates depth, duration, recovery, CDaR, and window choice to align portfolios with investor pain.
- [Risk Parity and Risk Budgeting Explained](https://celestice.ai/blog/optimization-series-04-risk-parity): How risk parity and risk budgeting allocate by risk contribution, not capital, and where leverage, estimation, constraints, and governance matter.
- [Hierarchical Risk Parity and Clustering Methods](https://celestice.ai/blog/optimization-series-05-hierarchical): How hierarchical and clustering methods use asset relationships to diversify across market structure while avoiding noisy correlation estimates.
- [Black-Litterman Portfolio Optimization Explained](https://celestice.ai/blog/optimization-series-06-views-bayesian): How Black-Litterman, Bayesian pooling, and confidence-weighted views blend investor opinions with market equilibrium for disciplined portfolio tilts.
- [Covariance Matrix and Factor Models in Portfolio Optimization](https://celestice.ai/blog/optimization-series-07-factor-covariance): How factor models, covariance estimates, shrinkage, regimes, and diagnostics shape the engine behind portfolio optimization.
- [Portfolio Constraints: Turnover, Tax, Liquidity, Exposure](https://celestice.ai/blog/optimization-series-08-constraints): How practical constraints turn theoretical optimization into investable portfolios with turnover, tax, liquidity, sector, and trading limits.
- [Tax-Aware Portfolio Optimization and Long-Short Investing](https://celestice.ai/blog/optimization-series-09-tax-aware-long-short): How tax-aware and long-short optimization handle realized gains, tax-loss harvesting, wash-sale checks, leverage, borrow costs, and after-tax outcomes.
- [Robust Portfolio Optimization and Stress-Aware Methods](https://celestice.ai/blog/optimization-series-10-robust-stress): How robust and stress-aware optimization designs portfolios that hold up across estimation error, regimes, scenarios, and adversarial shocks.
- [Multi-Period Portfolio Optimization and Execution Costs](https://celestice.ai/blog/optimization-series-11-multi-period-execution): How multi-period and execution-aware optimization plans trades across time, balancing future targets, taxes, costs, and liquidity.
- [How to Choose and Govern Portfolio Optimization Methods](https://celestice.ai/blog/optimization-series-12-choosing-governing): How to choose and govern optimization methods with shared inputs, scorecards, evidence packets, approvals, and human accountability.
- [Portfolio Performance Attribution: TWR, MWR, and Brinson Explained](https://celestice.ai/blog/performance-attribution-twr-mwr-brinson): How to explain portfolio performance with time-weighted return, money-weighted return, benchmark context, Brinson attribution, fees, and risk links.
- [Portfolio Optimization Methods: MVO, CVaR, Risk Parity](https://celestice.ai/blog/portfolio-optimization-approaches-compared): Compare portfolio optimization methods: mean-variance, minimum variance, CVaR, risk parity, Black-Litterman, factor, robust, and tax-aware approaches.
- [Portfolio Optimization at Scale: Why It Is an Operating Problem](https://celestice.ai/blog/portfolio-optimization-at-scale-operating-problem): Why optimizing many portfolios requires tax lots, drift monitoring, restrictions, data quality, account-level precision, approvals, and execution workflows.
- [Portfolio Rebalancing Strategy: When and How to Rebalance](https://celestice.ai/blog/portfolio-rebalancing-drift-discipline): How to rebalance a portfolio using drift bands, tax-aware trades, cash flows, wash-sale checks, restrictions, approvals, and execution discipline.
- [Portfolio Risk Analysis: VaR, CVaR, Factors, and Drawdown Explained](https://celestice.ai/blog/portfolio-risk-analytics-var-cvar-factors): How to analyze portfolio risk with Value at Risk, CVaR, drawdown, beta, Sharpe ratio, factor exposure, liquidity, and data-quality checks.
- [Privacy by Design: Pseudonymization for Financial AI](https://celestice.ai/blog/privacy-by-design-pseudonymization-financial-ai): A technical look at how Celestice reduces direct-identifier exposure before and after shared agent, evaluation, summarization, and memory model calls—and how deletion coexists with audit.
- [Private Equity Metrics: MOIC, Vintage Year, and Secondaries](https://celestice.ai/blog/private-equity-venture-moic-vintage-secondaries): How private equity and venture investors read MOIC, IRR, TVPI, DPI, vintage year, capital calls, distributions, secondaries, and fees.
- [Private Markets 101: Capital Calls, J-Curve, IRR, TVPI, and Fees](https://celestice.ai/blog/private-markets-alternatives-j-curve-irr-tvpi): A plain-English guide to private markets investing, including capital calls, the J-curve, IRR, TVPI, liquidity, pacing, and fee drag.
- [Proactive Financial Planning Alerts: What Matters Next](https://celestice.ai/blog/proactive-suggestions-what-matters-next): How context-aware suggestions explain why now, what changed, where they lead, and why safety gates still control actions.
- [Real Assets Investing: Real Estate, Infrastructure, Farmland](https://celestice.ai/blog/real-assets-investing-yield-inflation-leases): How to evaluate real assets through yield, cap rates, lease quality, inflation linkage, occupancy, appraisal lag, liquidity, and risk.
- [How Much Do I Need to Retire? Build a Retirement Income Plan](https://celestice.ai/blog/retirement-income-planning-beyond-the-number): A retirement income planning framework for savings targets, Social Security timing, withdrawal strategy, tax coordination, depletion risk, and annual review.
- [Should You Do a Roth Conversion? A Tax-Smart Planning Framework](https://celestice.ai/blog/roth-conversion-tax-smart-investing-guide): How to evaluate Roth conversion timing, tax brackets, IRMAA thresholds, payment sources, five-year rules, and plan-level tradeoffs before converting.
- [Security for Financial AI: Controls, Boundaries, and Evidence](https://celestice.ai/blog/security-privacy-compliance-finance-fortress): How Celestice protects financial-AI workflows with federated identity, tenant isolation, workload scoping, data minimization, governed agents, secure delivery, and evidence-backed engineering controls.
- [Specialist AI Agents for Wealth Management](https://celestice.ai/blog/specialist-agents-directory-attribution): Why named specialist agents, scopes, attribution, confidence, evidence, and routing make wealth AI easier to inspect and govern.
- [Portfolio Stress Testing: What Breaks, Why, and What to Do](https://celestice.ai/blog/stress-testing-portfolio-what-breaks): How portfolio stress testing uses historical replays, custom shocks, reverse stress tests, factor losses, liquidity checks, and action thresholds.
- [Trade Execution Quality: TCA, Settlement, Reconciliation](https://celestice.ai/blog/trading-execution-quality-tca-settlement): How approved trade intent becomes settled positions through orders, routing, fills, allocation, settlement, TCA, and reconciliation.
- [What-If Scenario Planning for Wealth Decisions](https://celestice.ai/blog/what-if-scenario-planning-wealth): How what-if financial planning tests retirement, tax, portfolio, estate, risk, and cash-flow decisions before acting.
- [What Is Governed Autonomy in Wealth Management?](https://celestice.ai/blog/what-is-governed-autonomy-in-wealth-management): What governed autonomy means in AI wealth management: monitored workflows, policy routing, prechecks, safety gates, human approvals, and audit trails.

## Reference
- [Sitemap](https://celestice.ai/sitemap.xml): Full machine-readable URL list.