Streetbeat, a rising innovator in AI-powered investing, has raised $15 million in Series A funding to expand its intelligent finance platform that merges algorithmic precision with human insight.

The round was led by CDP Venture Capital SGR, with participation from TTV Capital, Monte Carlo Capital, and 3Lines Venture Capital. The company, founded by Damián Scavo, aims to make institutional-grade AI tools accessible to both businesses and individual investors  -  bridging a gap that has long divided Wall Street and the everyday user.

Streetbeat’s platform is built around a simple mission: to help people and companies make better, faster, and data-backed investment decisions through customizable AI agents.

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The Evolution of Intelligent Investing

For years, investors have relied on fragmented tools  -  one for market data, another for portfolio analysis, and a third for trade execution. Streetbeat unifies them all into a single AI-driven environment.

The platform creates autonomous financial agents that continuously analyze data, forecast market trends, and execute decisions in real time. For enterprises, Streetbeat builds custom models that plug into their financial operations  -  automating liquidity management, forecasting, and investment allocation.

For individual users, it serves as an AI-powered financial advisor, a self-learning assistant that adjusts portfolios dynamically to market movements.

According to Statista’s 2025 Fintech AI Report, the AI-in-wealth management market is growing at a compound annual rate of 41%, expected to surpass $130 billion by 2030. The same report highlights that over 60% of millennial investors now prefer algorithm-assisted investment platforms over traditional advisors.

Streetbeat’s approach captures both ends of that trend  -  democratizing what was once enterprise-only technology, while future-proofing it for scale.

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The Real Advantage Hidden Beneath the Product

What makes Streetbeat’s model strategically brilliant isn’t just its technology  -  it’s how it compounds intelligence across use cases.

Every transaction, every user insight, every algorithmic decision adds to a shared intelligence layer that strengthens the system for everyone on it. Retail investors feed real-world behavioral data; enterprise users feed strategic and macro patterns. Together, they create an ecosystem that becomes smarter with every interaction.

This is the hidden layer most founders miss: systems that learn across contexts become exponentially more defensible.

The best founders don’t build single-use products; they build compounding systems that improve with every new user.

In AI, that principle is pure leverage. When your model gets sharper with each transaction, you’re no longer scaling linearly  -  you’re scaling intelligence itself.

Streetbeat isn’t competing to have the most algorithms  -  it’s competing to have the most informed ones. That’s the kind of moat that no marketing budget or feature roadmap can replicate.

For founders in any industry, this is where the next frontier lies: turning data collection into self-improving systems. The companies that win won’t just automate tasks; they’ll design frameworks where performance compounds naturally, day after day, without manual intervention.

That’s what Streetbeat is really doing  -  transforming feedback into a flywheel.

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The Market Outlook

The AI investment ecosystem is in hypergrowth mode.
According to McKinsey’s 2025 Global Banking Review, AI-led decision-making could generate over $1.2 trillion in annual value for financial institutions by 2032, with the majority of that coming from automation, predictive modeling, and adaptive portfolio management.

Meanwhile, the robo-advisory market  -  a key overlap of Streetbeat’s business  -  is projected to exceed $2.8 trillion in assets under management by 2027, growing at 24.5% CAGR (Allied Market Research, 2025).

But while most players focus on speed and convenience, Streetbeat’s differentiator is adaptability. It isn’t just teaching users to trade; it’s teaching the system how they trade, creating individualized intelligence loops that make each session more precise than the last.

That’s what separates surface-level automation from true adaptive AI  -  technology that evolves with its users rather than for them.

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Why Investors See Long-Term Potential

Investors like CDP Venture Capital SGR and TTV Capital aren’t just backing a financial app  -  they’re backing an operating system for digital investing.
The company’s J.A.R.V.I.S. for Finance engine (Just A Really Very Intelligent System) integrates across multiple data sources  -  from macroeconomic indicators to social sentiment  -  translating complexity into actionable insights.

“Streetbeat is building a new layer of financial intelligence,” said one investor. “It’s rare to see a product where institutional-grade AI meets accessibility in such a seamless way.”

The platform’s enterprise model is particularly attractive to financial institutions exploring embedded AI for their own services  -  from automated fund management to predictive compliance.

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How Streetbeat Will Use Its $15 Million

With its new funding, Streetbeat plans to:

• Expand its AI research and engineering teams, with a focus on reinforcement learning and sentiment modeling.
  
• Partner with banks, fintechs, and asset managers to integrate Streetbeat’s AI agents into their core operations.
  
• Enhance user experience with real-time trading signals, market explainability, and adaptive risk profiling.
  
• Scale globally, targeting key fintech markets in North America, Europe, and Asia.
  

CEO Damián Scavo described the mission as “creating an intelligent investing ecosystem where every decision, big or small, contributes to a smarter system for everyone.”

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The Bigger Shift in Finance

Streetbeat’s $15 million raise highlights a broader transition happening in fintech  -  from automation to autonomy.

The last decade of fintech innovation made finance faster and more accessible; this decade will make it intelligent.
AI isn’t just optimizing returns  -  it’s rewriting how financial decisions are made, understood, and executed.

Streetbeat represents that shift perfectly: a company that doesn’t aim to replace human judgment but amplifies it with data-driven clarity.

You don’t scale by adding features  -  you scale by building systems that learn faster than the competition.

Streetbeat isn’t just building tools for investors. It’s teaching the market how to think smarter  -  and that’s a lesson every founder can apply.