tradeOS.ai
Date of Foundation
2025

tradeOS.ai

"tradeOS.ai, the Smart AI Operating System the capital market needs."

The Idea origin story

Our solution is "TradeOS.ai: Your AI Trading Autopilot". With GPT-powered, real-time market, and portfolio analysis, it offers automatic BUY/SELL/WATCH execution via smart limit logic. It provides user-friendly control through a mobile app or messaging platforms like WhatsApp and Telegram. Our vision is to democratize professional-grade trading tools and bring hedge-fund-level technology to individual investors.

The Mission

"Empowering individual investors with hedge-fund-level trading technology for smarter, automatic, and user-friendly capital market decisions."

Clients

Our customers are individual investors, finance enthusiasts, and hobbyists seeking advanced trading tools.

Problems we solve

Client’s problem

Product – Smart Trading Technology Component Description Alpha Engine GPT-based market and portfolio analysis Execution Core Automated order execution with intelligent limit handling Command Interface App, API, WhatsApp/Telegram integration ✅ API-first architecture ✅ Compatible with major brokers and platforms

Confirmation of problem

The problem is serious because millions of retail investors lose money daily due to emotional trades, slow reactions, and lack of access to institutional-grade tools.

Solution

Our startup, tradeOS.ai, serves as the intelligent AI operating system that revolutionizes the capital market. Our primary users are individual investors and finance enthusiasts who desperately need sophisticated trading tools to streamline their operations. We have developed a game-changing product – Smart

Our technologies

This solution is based on technologies

Artificial Intelligence, Machine Learning, Natural Language Processing, API development, Mobile App development and Chatbot technology.

How it works

Users connect their portfolio, our AI analyzes it in real time, sets smart limits, and auto-executes trades via API or app—fully autonomous, with human override anytime.

Value for the client

We equip individual investors with advanced, easy-to-use trading technology for sound market decisions and portfolio management.

Market and strategy

Market size

15

mln/year

We estimate the market size for which our solution is designed in monetary terms as follows

Market share goal

2

% of the market

Is our goal in the next 3 years

Team

My name’s

Marco Föllmer

My key role in the product

My key role is the founder and product lead, entrusted with vision strategy, product design and execution. I handle the roadmap, investor relations and user growth.

Team size and key members

Our team comprises Marco Föllmer (Founder & Product), Christof Baumgärtner (Co-Founder & Strategy) and potential board members like Markus Adolph, Thomas Mendorf, and Matthias Großmann.

Competitors

Competitors

Potential competitors in our space include established fintech firms like Stockpile, Ally Invest and Robinhood. Additionally, trading tool providers such as eToro and Quantopian could also pose a challenge.

Our Advantages

TradeOS.ai sets the standard in AI-powered autopilots for retail investers. Our platform offers real-time analysis, smart limit execution and full automation, all with zero manual input. Enabling hedge fund-grade tech at your fingertip effortlessly.

Business model

We use a SaaS model: clients pay €49/month (Premium) or €99/month (Pro) for AI autopilot features. B2B clients pay via API licensing and performance-based fees.

Traction

Over the past six months, we've developed a robust Alpha version, managed a €480K portfolio simulation, welcomed over 50 early users for private testing and verified integral AI attributes. A public Beta roll-out is on our calendar for Q1 2026.

By the time we exhaust our resources, we will have successfully launched our MVP in Q4 2025, followed by a public beta involving actual users by Q1 2026. In Q2 2026, our first revenue-generating B2B contracts will be secured. We plan to make headway into the US market come Q3 2026 and achieve integral traction KPIs like LTV/CAC ratios, user retention rates, and AI accuracy. Lastly, all these milestones

Metrics

Our product metrics include a simulated portfolio performance with an impressive +12.4% increase over six months, a compelling user activation rate of 60%, strong monthly retention at 80%, and AI decision accuracy that matches manual trades by up to 70%. All these trends are on the rise as we're constantly refining our engine.

Our key indicators assert strong performance: with a +12.4% rise in simulated portfolio (6 months), 60% user activation, impressive monthly retention at 80%, and AI decisions matching manual trades by 70%. All set on an upward trend.

Incorporation

Our company incorporated in

montenegro

Key risks

The main risks of my startup could lie in the unforeseen regulatory changes, broker compatibility issues, technological failures (i.e., system breaks or glitches) and potential cybersecurity threats that may hinder our service delivery.

Investments

$

0

We raised investments

Our Investors

Currently bootstrapped. Seed round in progress—offering up to 15% equity to strategic investors. No external investors onboard yet.

Rising Investments

$

1500000

Currently, we are raising investments

$

8500000

Estimated pre-investment valuation of the company

We’re looking for a co-founders

Open positions

Article

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Additional information

TradeOS.ai is building the world’s first AI autopilot for retail trading—real-time, autonomous, and plug-and-play. We’re democratizing hedge-fund tech and giving individuals the power to trade smarter, faster, and emotion-free. Public Beta coming Q1 2026.

Scale