Tony Zhou, CEOMoTA AI is built around a different proposition: investment teams should not be reserved for institutions with the resources to hire them.
The platform breaks the work of an investment team into specialized AI agents that investors can assemble according to their goals, preferences, and risk tolerance. Its central idea is simple: investors get a team they can shape, while experts who build investment tools gain a route to reach and earn from a broader market.
Building a Team, One Agent at a Time
Operated by Discard Limited, a company controlled by Watson Financial, MoTA focuses on AI applications in investing and financial services. Its platform has six live agent roles, including risk control, trader, fundamental analyst, technical analyst, strategist, and portfolio manager.
Each contributes a distinct perspective rather than asking one general-purpose assistant to handle the entire decision.
Investors can freely combine agents to create a team suited to their approach. For those who would rather not design a structure from scratch, MoTA also offers preset templates modeled on the team arrangements used by larger investment firms. This gives experienced investors room to customize their workflow while offering a guided starting point to others.
A Marketplace for the People behind the Models
The other half of MoTA’s model serves financial professionals, analysts, quantitative researchers, strategists, and developers who build investment agents. Their research methods and models can be valuable, but they may otherwise remain inside personal code, spreadsheets, or private workflows. MoTA gives creators a way to publish those capabilities for investors to discover and subscribe to.
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MoTA is designed to make the structure of an investment team accessible without taking the decision away from the investor.
Creators can host their agents on MoTA or connect agents they operate themselves. They set their own subscription prices, while the platform displays estimated token usage, a suggested price, and the creator’s expected earnings per subscription. The marketplace is designed to help specialists focus on improving their research and agents while MoTA provides the route to users and the platform infrastructure.
For investors, this creates choice beyond a single provider’s house view. They can compare specialist approaches, combine different agents, and change their team as their needs evolve. For creators, it offers a way to build an audience and generate subscription revenue from their expertise. The two sides reinforce one another: a range of agents gives investors more options, while investor demand gives creators a reason to refine their products.
Trust, Oversight, and the Next Stage
Because investment decisions involve financial information, access and accountability matter. MoTA says agent permissions are tied to their functions, and portfolio access is limited according to role. The platform’s model is subscription-based rather than dependent on trading commissions, and users retain approval over actions carried out through connected brokerage accounts. Agent review and governance are also part of the marketplace’s approach.
“MoTA is designed to make the structure of an investment team accessible without taking the decision away from the investor,” says Tony Zhou, CEO of MoTA AI.
MoTA AI has been named Top AI Investment Team Builder Human Control Solutions for 2026. Its proposition rests on connecting two groups that have often operated separately: investors who need coordinated specialist input and creators whose expertise can power it. By making investment teams configurable and specialist agents available through a marketplace, MoTA aims to give individuals more structure and give creators a path to reach the people who can use their work.
