How Data, AI and Market Structure Shaped Ervin Moriss’ Approach to Building KIVO

Ervin Moriss at Ultra Connect Singapore.

TORONTO, CANADA — Ervin Moriss is the Co-Founder and CEO of KIVO, a Web3 platform being developed around social prediction markets and a longer-term vision for decentralized social finance. His professional background spans finance, artificial intelligence, strategy and operations, with each stage contributing to how he approaches technology, markets and execution today.

Key Background

Canadian business operations and strategy professional based in Toronto.
Co-Founder & CEO of KIVO.
More than 10 years of experience across finance, AI, startup environments and cross-functional execution.
Career timeline: Ryerson University → Jane Street → Element AI → Stealth → KIVO.

What Shaped His Approach

At Jane Street, Moriss worked in data analysis within a financial-market environment where timing, information quality and decision speed mattered.
At Element AI, he moved into product operations, focusing on the coordination required to turn technical capabilities into usable products and workflows.
From 2021 to 2025, he worked in stealth across strategy and operations, exploring financial infrastructure, decentralized systems and new product directions.

Core Areas of Focus

Business operations
Data analysis
Strategy & execution
Cross-functional coordination
Market structure and decentralized systems

Why KIVO

KIVO begins from the idea that financial behavior online is increasingly social.
Prediction markets are a natural entry point because they turn opinions into something measurable.
A prediction can become more than a trade — it can also create a visible record, reputation and social context around how a user thinks.
The company is being built around the belief that financial identity itself can become more social in a Web3 environment.

What KIVO Is Building

A social prediction market as the first phase of the platform.
A future Social DEX that connects community and market participation.
Wallet infrastructure as part of a broader user ecosystem.
A longer-term Web3 social finance network where users can interact around opinions, strategies, performance and relationships.

Where the Ideas Connect

Information and interpretation: A market price is useful, but it does not explain market depth, liquidity, or why different participants disagree. Data can help frame those questions without turning one number into a complete account of a market.
Software and execution: AI and financial applications each rely on coordination among technical, operational, and customer-facing functions. The relevance to KIVO is practical: a technically promising idea still needs clear workflows and a product that people can navigate.
Social context: A history of predictions can make someone’s views easier to examine over time, but a single accurate call does not automatically establish expertise. KIVO’s stated direction is to connect prediction records with community discovery and, eventually, a broader set of Web3 financial tools.

Perspective on Prediction Markets

“What makes prediction markets interesting to me is that they turn an opinion into something measurable. Once those opinions have a history and a social identity around them, the product becomes about more than a single trade.” — Ervin Moriss

For Moriss, KIVO brings together several themes that have appeared throughout his career — information, decision-making, markets, technology execution and the operational systems that make products work in practice. As Co-Founder and CEO, he is now applying that background to a platform designed to connect prediction, participation and social finance in a single Web3 environment.

Media Contact

Website: www.kivo.vip

Email: [email protected]

X/Twitter: www.x.com/KivoPredict