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Gogi launches out of stealth to build the infrastructure for the agentic investor

The retail investing world is currently a mess of open tabs. Between checking SEC filings, monitoring crypto whales on X, tracking prediction markets on Polymarket, asking LLMs for predictions, and actually executing trades across three different brokerage apps, the modern investor is less a strategist and more a full-time data janitor.

Clarice Bonaccorsi thinks the solution isn’t another trading app, it’s creating an all-in-one platform for agentic investing. 

Today, Gogi is launching out of stealth to provide what it calls the first “agent-ready” investment interface. Instead of just giving investors another dashboard, Gogi is building the connective tissue that allows autonomous AI agents to interact with global financial systems securely and within strict human-defined limits.

From Tools to Economic Participants

The pivot from AI as a “chatbot” to AI as an “agent” is the defining tech trend of 2026. We’ve seen agents that can book travel or write code, but the financial sector has remained a stubborn outlier due to security risks and API fragmentation.

“AI agents are evolving from tools into economic participants,” Gogi founder and CEO Clarice Bonaccorsi said in a press release. “Gogi is building the infrastructure for investors to leverage autonomous agents to execute specific financial strategies without giving up control or security.”

Bonaccorsi, a professional day trader who taught herself to code to solve her own workflow frustrations, realized that while LLMs are now excellent at technical analysis, they lack an ability to execute trades across accounts. If you ask an AI to hedge your ETH position based on a specific sentiment shift in the news, the AI usually stops at the suggestion. Gogi provides the ability to actually move the money.

The ‘Control Layer’ for Autonomous Wealth

Gogi isn’t a broker. Instead, it sits as a non-custodial layer on top of an investor’s existing accounts. By partnering with heavy hitters like Kraken for crypto and Alpaca for brokerage infrastructure, Gogi allows users to plug in their various wallets and portfolios into one unified Intelligence hub.

The platform’s Intelligence engine aggregates real-time data across 20,000 symbols, including equities, forex, and commodities. But it goes a step further by integrating alternative data, the kind of stuff that usually requires a Bloomberg Terminal or hours of manual digging:

  • Real-time SEC filings and balance sheets.
  • Political forecasting and event probabilities from prediction markets.
  • Custom datasets, ranging from sports stats to weather patterns.

For the “human-in-the-loop,” this means a more powerful dashboard. For the agent, it means a rich, structured data environment where it can make informed decisions.

Solving the ‘Runaway Robot’ Problem

The biggest hurdle for AI-driven finance has always been trust. No sane investor wants to give an LLM an unrestricted API key to their life savings.

To solve this, Gogi has built what it describes as an “isolated trading environment.” All agent activity is encrypted and, more importantly, filtered through a set of hard-coded guardrails. Users can set granular permissions: an agent might be allowed to trade BTC and SOL, but prohibited from touching micro-cap memecoins. It might have a $500 position limit or a requirement to ask for human permission via voice or chat before hitting buy.

This security-first approach turns the AI from a risky experiment into a disciplined financial co-pilot that never sleeps.

The Path Ahead

Gogi enters a crowded market of fintech apps, but its bet on the “agent economy” sets it apart. While Robinhood and E-Trade focus on the human user experience, Gogi is betting that the most active users of the next decade won’t be humans at all, but the algorithms humans supervise.

The Los Angeles-based startup has been operating quietly since 2022. While the company hasn’t disclosed its total funding, the partnerships with Kraken and Alpaca suggest Gogi is ready to handle institutional-grade volume right out of the gate.

For Bonaccorsi, the goal is democratization. “AI is more often seen as a threat to our income rather than a tool for building income,,” she said. “Gogi’s AI serves as a financial copilot for investors, one that offers institutional-grade capabilities without the institutional complexity.”

Investors looking to hand the keys to their first agent can now sign up at gogi.ai.

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