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Yototec

Irvine, United States (US) · Media, Publishing and Communication

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Verified by Enterprise League

Data quality

Complete · Accuracy

Last verified

May 2026

#quantitative research

#trading

#ai

Yototec is a Media, Publishing and Communication company based in Irvine, United States (US), with 2-10 employees. Yototec's profile is verified on Enterprise League.

Overview

Yototec is an Irvine, California-based provider of end-to-end sentiment intelligence solutions, including Aparecium, SentiChain, and SentiMove.

We combine frontier AI innovations, quantitative methods, and fundamentals research to transform market data into actionable insights. Our core offering, SentiMove, is a market intelligence platform that reveals the hidden forces behind crypto price movements, using sophisticated AI analysis to detect and classify sentiment across macro trends, industry developments, and individual assets.

Yototec’s approach centers on building an autonomous AI agent ecosystem, transitioning to agents to complete investment cycles. We are led by experienced quantitative strategists and AI engineers, including Jenny Liu, Co-Founder & CEO, and Edward Chen, Co-Founder & CTO, both alumni of top universities like UCL and Cornell.

Our technologies, such as Aparecium and SentiChain, are designed to address critical challenges in sentiment analysis, including survivorship bias and data privacy concerns, providing a robust and transparent foundation for investment decisions.
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Contact Details

info@yototec.com

Irvine, United States (US)

+1

Company Type

Private Limited Company

Employees

2-10

Categories

Internet Services
Online Portals
Online Content

Keywords

#quantitative research

#trading

#ai

Awards

2026 OpenSee all

Products

Default Product Image
SentiChain
Online Content

An App Chain that addresses three critical challenges in sentiment analysis: survivorship bias from deleted or modified social media posts, privacy concerns restricting access to data containing personally identifiable information, and data conversion complexity in transforming text into deterministic numerical representations. The blockchain structure utilizes Merkle Trees to secure embedding matrices of verified sentiment data.

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