Ready to scale your AI roadmap?

We built the AI brain behind a social investing platform.

When UnboundX needed an intelligent financial assistant that could simplify markets for everyday investors, they came to us. Here is what we built.
Industry
Fintech
Use Case
AI Financial Assistant / Social Investing
Case Study Visual
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Zenith became the backbone of our platform. They understood the fine line between educating users and giving financial advice — and built right on it.
UnboundX Team
Zenith Platform Development

The challenge

Investing is intimidating. UnboundX was building a social investing platform where everyday users needed to understand complex market data, trends and opportunities — without a finance degree.

They needed an ai system that could explain, guide and educate users in real time without ever crossing into regulated financial advice territory.

Zenith Screenshot

What we built

Zenith — an AI powered financial assistant built specifically for the UnboundX platform.

Real-time market insights

Zenith pulls live market data and translates it into plain language users actually understand.

Sentiment & trend analysis

Monitors market sentiment and surfaces relevant signals based on what the user is exploring.

Contextual financial education

Explains complex concepts in the moment, exactly when the user needs it.

Community intelligence layer

Connects user behavior and community insights to make responses more relevant and personalized.

Advice boundary guardrails

Built to educate, never to advise — keeping UnboundX fully compliant with financial regulations.

The outcome

UnboundX launched with an AI assistant that made financial markets accessible to a new generation of investors — without dumbing it down or crossing compliance lines.

Users could explore markets confidently, learn in context and engage with their community — all powered by Zenith running silently in the background.

Feature Illustration

Building a fintech product?

If you are working on a trading platform, investment tool or financial assistant, we have done this before. Let's talk.