AI Labs launches AI-assisted crypto trading platform

AI Labs, an AI-driven crypto trading company backed by Academic Labs, has announced the launch of a new platform in Singapore designed to enhance cryptocurrency trading through data analysis and automation. The platform aims to make advanced analytical tools more accessible to a broader range of traders. It integrates visual reasoning, narrative monitoring, and automated execution features.

On March 8, 2026, AI Labs (ticker: AIX), based in Singapore, unveiled its AI-assisted trading platform via a GlobeNewswire release. Backed by Academic Labs, the company focuses on AI technologies for cryptocurrency markets, where automation and algorithms are increasingly prevalent.

The platform combines visual reasoning, narrative intelligence, and automated trade execution to help traders interpret market data more efficiently. At its core is a visual reasoning engine that employs computer vision and multimodal AI to examine charts dynamically. This allows identification of liquidity zones, resistance levels, and market patterns in real time, moving beyond static image analysis.

Complementing this is a narrative intelligence layer that monitors the crypto ecosystem for key signals, including movements in large wallets, developer updates, and changes in online sentiment. These elements assist traders in assessing potential trends.

For execution, users can set broader trading parameters, enabling the system to automate trades based on triggers such as capital inflows, volatility shifts, or funding-rate changes. The goal is to minimize emotional decisions and maintain alignment with predefined strategies, with continuous market monitoring by the AI.

"Markets are entering an era where the use of artificial intelligence is becoming more common in trading strategies," stated Kingston Kwek, owner of AI Labs. "Our goal is to make analytical tools that are often used by institutional trading teams more accessible to a wider group of crypto traders."

The platform is now onboarding new users, with monthly trading volume reported to exceed $1 billion.

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