Build and Manage Your AI Investment Team— With Human Control
Build a human-controlled AI investment team to research markets, evaluate risk, generate structured decision workflows, and approve actions before execution.
The investing gap is no longer information. It is decision structure.
Serious investors already have access to market data, news, charts, research, alerts, and opinions. The problem is that these signals are fragmented, reactive, and difficult to turn into repeatable investment decisions.
MoTA helps investors move from scattered signals to structured, explainable, risk-aware, human-approved decision workflows.
From portfolio context to approved decision workflow.
MoTA helps you turn portfolio data, market signals, AI agent analysis, and risk review into a structured investment decision process.
Connect or simulate your portfolio
Start with real or simulated portfolio context.
Configure your AI investment team
Build a team of AI agents across research, risk, portfolio management, and execution workflow roles.
Receive structured investment decisions
Review AI-generated decisions by type, including urgent alerts, position changes, investment opportunities, and portfolio optimization.
Evaluate rationale, risk, and assumptions
Understand why a decision was generated, which agents contributed, what assumptions were made, and what risks should be reviewed.
Approve actions before execution
MoTA is designed around human control. Users review and approve actions before execution-related steps.
MoTA does not give you one AI answer.
It gives you an AI investment team.
Each AI agent is designed around a specific investment role, so decisions can be generated, challenged, reviewed, and approved through a more structured process.
Fundamental Analyst
Reviews company fundamentals, earnings context, valuation signals, business drivers, and sector positioning. Output: fundamental research context for investment decisions.
Technical Analyst
Analyzes price action, trend behavior, momentum, support and resistance, volume signals, and market structure. Output: technical context for timing, trend confirmation, and risk review.
Market Sentinel
Monitors macro events, sector moves, volatility changes, earnings events, news signals, and urgent market shifts. Output: alerts and market context for urgent or time-sensitive decisions.
Risk Manager
Reviews concentration, exposure, volatility, stress scenarios, downside risk, and portfolio-level impact. Output: risk review before decision approval.
Portfolio Manager
Connects investment ideas to portfolio context, allocation logic, position sizing considerations, and decision prioritization. Output: portfolio-aware decision recommendations.
Trader
Prepares execution-related workflow context after the user reviews the decision, risk, and rationale. Output: order intent and execution workflow preparation for user approval.
Built for investors who need structure, not more noise.
Advanced Investors
MoTA helps professional self-directed investors evaluate opportunities, monitor risk, and turn portfolio context into structured decision workflows.
Portfolio Managers and Small Investment Teams
MoTA helps small teams create repeatable research, risk review, portfolio monitoring, and decision approval workflows without relying on fragmented tools.
RIAs and Wealth Advisors
MoTA helps advisors explore explainable portfolio intelligence, decision-support workflows, and human-approved investment review processes.
Public Market Intelligence for Private Market Investors
MoTA helps VC and PE investors monitor public comps, sector signals, earnings trends, macro conditions, liquidity shifts, and exit-market windows through structured AI investment workflows.
Trust Principles
Permissioned Account Access
MoTA uses user authorization as the foundation for brokerage account connection, data access, and account-related product capabilities.
Users control whether accounts are connected, whether permissions are granted, and whether authorization is revoked where supported.
Structured AI Analysis
MoTA's AI agents are designed to support structured investment workflows.
Agents may help analyze portfolios, market context, risk factors, holdings, and candidate actions. Their role is to assist analysis and decision preparation, not to replace user judgment.
Human Review & Trading Confirmation
Real trading workflows require user review and explicit confirmation.
AI agents do not independently place real trades without user confirmation. Before a real trading action is submitted, users are expected to review relevant order details, account context, data status, and risk information.
Reviewable Activity Records
MoTA's governance design supports reviewability for important actions.
This may include records related to authorization, account connection, agent activity, signal generation, trading previews, user confirmations, blocked actions, sensitive data access, and downstream workflow events.
Part of a broader fintech ecosystem.
MoTA is operated by Descart Limited and built within the Waton / WTF.US fintech ecosystem, combining experience across brokerage infrastructure, investment workflows, financial technology, and AI-native product development.
FAQ
MoTA is a human-controlled AI investment decision operating system that helps professional investors build AI investment teams for research, risk evaluation, decision support, and approval workflows.
Request access
to MoTA.
MoTA is currently available by application and invitation for qualified investors and investment professionals.