Stat, Bloomingbit Unveil ‘Bloomingbit Alpha’ AI Intelligence Platform for Institutions

Bloomingbit, the digital-asset affiliate of Hankyung Media Group, reported on June 30 that blockchain data analytics firm Stat had unveiled “Bloomingbit Alpha,” an artificial intelligence platform the two companies are jointly developing for institutional investors.

In a post on X, formerly Twitter, Stat said Bloomingbit Alpha, which it describes as an “AI-based digital asset intelligence terminal,” has opened a page where institutional investors can request platform introductions and demos.

Stat said the platform is designed to move beyond conventional data services focused on price information and instead build analytical infrastructure that institutions can use directly in investment decisions. The company plans to roll it out first through early access for a select group of institutions.

“Bloomingbit Alpha is the first to introduce the concept of consensus to the digital-asset market,” Stat Chief Executive Officer Park Joo-hwan said. Just as stock prices move against consensus forecasts rather than earnings alone, Bloomingbit Alpha standardizes outlooks from global investment banks and crypto-native research houses into a single benchmark, he added.

Stat said the platform’s AI intelligence engine was built differently from general-purpose generative AI. It combines large language model reasoning with real-time news and market data pipelines secured through key partners, including Bloomingbit. The company said it also uses retrieval-augmented generation, or RAG, to improve analytical accuracy and reduce AI hallucinations.

The platform is designed to cover both on-chain and off-chain data. Planned features include over-the-counter deal flow and liquidity data, fund flows between exchanges and supply-demand signals, activity data on major projects and market participants, and exchange deposit and withdrawal flows for stablecoins and major currencies. It also aims to provide a single terminal for institutional investment workflows, including quantified market sentiment analysis based on social, news and community data, an asset screener built on hundreds of indicators, event overlays that map news and on-chain events onto price charts, customized real-time alerts and user-defined dashboards.

Park said the goal is to create intelligence that institutions can use immediately in decision-making by combining global research forecasts with actual market fund flows into a single benchmark. Based on the data and distribution infrastructure secured through its collaboration with Bloomingbit, the company aims to set the standard for the AI-based digital-asset intelligence market, he said.

Oh Jung-min, Hankyung.com reporter blooming@hankyung.com