TaiJi Secures $3.5 Million Strategic Funding with Participation from Castrum Capital, Becker Ventures, and Coinvestor Ventures

链捕手Published on 2026-06-02Last updated on 2026-06-02

Abstract

TaiJi Secures $3.5 Million Strategic Funding TaiJi has announced the completion of a $3.5 million strategic funding round, with participation from Castrum Capital, Becker Ventures, and Coinvestor Ventures. The investment will support product development, upgrades to its AI inference engine, the construction of a multi-agent analysis system, improvements to market data infrastructure, global community expansion, and the advancement of ecosystem partnerships. Operating within the BSC ecosystem, TaiJi is building an AI-driven on-chain market intelligence network. The platform integrates market data, on-chain fund flows, liquidity changes, social media sentiment, news events, and project developments into a unified AI inference system. This approach aims to transform fragmented information into structured event inferences, impact pathways, risk assessments, and follow-up indicators, helping users navigate the increasingly complex and event-driven Web3 market. Unlike traditional market tools, TaiJi is constructing an intelligent analysis framework. It continuously aggregates real-time data to form a native market data network and builds a dataset of post-event market reactions for review. A core component is its multi-agent inference framework, where specialized agents—for markets, on-chain activity, sentiment, risk, and events—collaborate to analyze signals and generate insights. The first phase of TaiJi's product will focus on several key modules: Market Intelligence for rea...

Author:TaiJi

Funding Amount

TaiJi today announced the completion of a $3.5 million strategic funding round. The funds raised will primarily be used for product R&D, upgrading the AI inference engine, building a multi-Agent analysis system, improving market data infrastructure, expanding the global community, and promoting ecosystem collaborations.

As the Web3 market enters a new stage characterized by higher frequency, greater complexity, and stronger event-driven dynamics, users are no longer facing just price charts and news feeds. Macro events, project progress, TGEs, on-chain capital, liquidity changes, social media sentiment, and community behavior are collectively influencing market structure and asset performance.

TaiJi aims to offer a new way of understanding the market: not merely displaying data, but transforming market trends, on-chain signals, news events, and social sentiment into market inference outcomes that are analyzable, trackable, and reviewable.

Investors

This strategic round was jointly participated in by Castrum Capital, Becker Ventures, and Coinvestor Ventures.

TaiJi stated that this funding will not only support the platform's continuous iteration in technology and product but will also assist TaiJi in advancing its product development, community growth, and ecosystem partnerships within the BSC ecosystem. In the future, TaiJi will continue to build a more comprehensive intelligent market infrastructure centered around AI-powered market analysis, on-chain signal identification, risk assessment, and event inference capabilities.

Project Introduction

TaiJi is building an AI-driven on-chain market intelligence network within the BSC ecosystem. The platform integrates market trends, on-chain capital, liquidity changes, social sentiment, news events, and project dynamics into a unified AI inference system, helping users generate structured event inferences, impact pathways, risk assessments, and follow-up observation metrics.

Unlike traditional market tools, TaiJi is not just an AI-generated interface; it is constructing an intelligent analysis system tailored for the Web3 market. The platform continuously integrates market trends, on-chain capital, liquidity changes, social sentiment, and project events to form a real-time native market data network. Simultaneously, it aggregates data on asset, capital, narrative, risk, and user attention changes post-events, establishing a reviewable dataset for event responses.

On this foundation, TaiJi employs a multi-Agent inference framework to collaboratively process different types of market signals. Market Agents, On-chain Agents, Sentiment Agents, Risk Agents, and Event Agents work together to analyze event impacts, transforming fragmented information into structured impact pathways, risk judgments, and subsequent observation indicators.

TaiJi's Phase I product will focus on the following core modules:

  • Market Intelligence: Aggregates market trends, on-chain data, social sentiment, and news events to form a real-time market intelligence layer.
  • Scenario Engine: Generates AI inference results based on market events, helping users understand the potential multi-dimensional impacts of events.
  • Impact Map: Visualizes the impact of events on assets, narratives, liquidity, risk pathways, and market attention.
  • Risk Signals: Identifies on-chain capital changes, liquidity fluctuations, anomalous transactions, and potential risk signals.
  • My TaiJi: Allows users to curate their watchlists, access historical inferences, market observations, and personalized metrics.

TaiJi stated: "The Web3 market is transitioning from pure price trading to a new stage driven by events, narratives, data, and on-chain behavior. TaiJi aims to integrate signals dispersed across market trends, on-chain activity, social media, and news into an AI-native market inference system, enabling users to understand more quickly how events affect assets, liquidity, risk, and market sentiment."

With the completion of this funding round, TaiJi will accelerate product updates and testing, gradually opening access to core features such as AI inference, market intelligence, impact maps, risk signals, and user dashboards. The company will continue expanding its product presence within the BSC ecosystem and the global Web3 market.

About TaiJi

TaiJi is an AI-native, on-chain market intelligence platform for the Web3 market. It aggregates market trends, on-chain signals, social sentiment, and event information to help users generate structured market inferences, impact pathways, risk alerts, and follow-up observation metrics.

TaiJi does not custody user assets, does not trade on behalf of users, does not provide investment advice, and does not guarantee returns.

Related Questions

QWhat is the core innovation of the TaiJi platform compared to traditional market analysis tools?

ATaiJi is not just an AI-generated interface or a traditional charting tool. It aims to build an intelligent analysis system for the Web3 market. Its core innovation lies in integrating disparate market signals—price action, on-chain data, liquidity changes, social sentiment, and news events—into a unified, AI-powered reasoning engine. This system transforms fragmented information into structured market inferences, impact paths, risk assessments, and follow-up indicators, providing a new way to understand market dynamics.

QWhat are the primary purposes for which TaiJi will use the $3.5 million in strategic funding?

AThe $3.5 million in strategic funding will be primarily used for product research and development, upgrading its AI reasoning engine, building its multi-agent analysis system, improving market data infrastructure, expanding its global community, and advancing ecosystem partnerships.

QWhich investment firms participated in TaiJi's strategic funding round?

AThe strategic funding round was co-invested by Castrum Capital, Becker Ventures, and Coinvestor Ventures.

QOn which blockchain ecosystem is TaiJi primarily building its AI-driven on-chain market intelligence network?

ATaiJi is primarily building its AI-driven on-chain market intelligence network on the BSC (Binance Smart Chain) ecosystem.

QWhat are the five core modules of TaiJi's first-phase product?

AThe five core modules of TaiJi's first-phase product are: 1) Market Intelligence (aggregating market data), 2) Scenario Engine (generating AI inferences for events), 3) Impact Map (visualizing event effects), 4) Risk Signals (identifying on-chain and liquidity risks), and 5) My TaiJi (a personalized user dashboard for tracking and history).

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