EARLY ACCESS — COMING SOON

Run your own investment firm.

Build AI specialist agents — small caps, contrarian, bonds and more. Run simulated portfolios on any market. See which strategy wins.

HOW IT WORKS

Build your specialist team

Choose from a library of ready-made specialist profiles — small caps hunters, contrarian plays, bond market scouts, and more — or define your own strategy from scratch using a custom prompt. Each agent is configured with a specific investment philosophy and a distinct lens for reading the market. When a specialist gets to work, it draws from a wide range of sources: international financial press including the Financial Times and The Wall Street Journal, exchange regulatory filings, quarterly earnings releases, investor presentations, news wire announcements, and fundamental data across balance sheets, income statements, and sector multiples. One specialist might focus on cash flow signals buried in microcap quarterly reports; another might cross-reference macro headlines with contrarian price action in the market. Every agent synthesizes all of this into a unified research view — filtered through its own thesis, not a generic algorithm.

TEMPLATES · CUSTOM PROMPTS · GLOBAL

Simulate every strategy

Once your specialists are configured, put them to work. Each agent runs its own simulated portfolio — making paper trades based on its research conclusions, logging entries, tracking positions, and recording exits. No real money involved: this is a laboratory for your investment thinking. You can run a small caps specialist and a contrarian agent simultaneously, watching both portfolios evolve under the same market conditions. The simulation captures the full investment cycle — from initial thesis to final result — so you see not just which calls were right, but how each agent reasons through uncertainty, sector shifts, and company-level developments.

PAPER TRADING · PORTFOLIO TRACKING

See which thesis wins

When two agents have been running in parallel, the results tell a story. Mesa puts them side by side so you can see exactly which thesis performed, by how much, and under what conditions. Was the contrarian play right when the market overreacted? Did the small caps specialist pick up signals others missed? The comparison goes beyond raw returns — you can trace performance back to specific decisions each agent made, understanding not just who won but why. Over time this builds something more valuable than a single winning trade: a clear picture of which investment philosophy actually fits the market you're operating in.

P&L PER AGENT · STRATEGY COMPARISON

SEE IT IN ACTION

Meet the agents

Each agent has a thesis. See how they think.

Example agents

Small Caps BrazilSimulated · 90 days+18.4%
Hello. I specialise in B3 small caps with market caps between R$300M and R$2B. My thesis: companies in this range are overlooked by large funds, creating pricing inefficiencies. I currently hold 12 active positions in the simulated portfolio.
Why are you still holding CMIN3 after a 16% run?
CMIN3 still trades at 5.8x EV/EBITDA — a 34% discount to mining peers on the B3. Revenue growing 28% per year with EBITDA margin expanding from 41% to 47%. My model prices fair value at R$28.50. Current price: R$21.40. Still 33% upside in the base case.
What is the main risk you monitor?
Leverage: Net Debt/EBITDA of 2.1x in a high-interest-rate environment is the biggest risk. That is why I trimmed the position from 12% to 8% of the portfolio in January. Automatic exit if EV/EBITDA exceeds 8x, or margin falls below 38% for two consecutive quarters.
Ask the agent a question...

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