Blockchain Data Sector Sees Major Consolidation as Kaiko Snaps Up Amberdata

Blockchain Data Sector Sees Major Consolidation as Kaiko Snaps Up Amberdata

In a strategic move to strengthen its institutional crypto data offerings, Kaiko has completed the acquisition of Amberdata, bringing derivatives analytics, onchain capabilities and AI-driven research tools to its platform.

Cryptocurrency data provider Kaiko, headquartered in Paris, has completed the acquisition of Amberdata, a digital asset data company based in the United States, responding to growing demand from institutional market participants for comprehensive market intelligence, derivatives data and onchain analysis capabilities for digital assets.

According to Kaiko, the acquisition will enhance its institutional-grade data offerings and enable the merged entity to better support financial institutions including banks, asset management firms, hedge funds, cryptocurrency exchanges and proprietary trading operations that require high-quality, standardized data across the highly fragmented cryptocurrency marketplace, the company stated in an announcement provided exclusively to Cointelegraph.

Through this acquisition, Kaiko gains access to Amberdata's sophisticated derivatives analytics capabilities and artificial intelligence-driven research infrastructure, including the highly regarded GVOL options analytics platform, which the company noted has been among the most frequently requested features from its institutional customer base.

While the transaction reached completion on Monday, specific financial details and terms of the agreement have not been disclosed publicly, according to Ambre Soubiran, CEO of Kaiko, in comments to Cointelegraph.

This transaction represents Kaiko's fifth acquisition to date and furthers its strategic initiative to bring together institutional-quality cryptocurrency market intelligence, derivatives data and onchain technology infrastructure under one roof. According to Kaiko, the newly combined organization will provide services to 250 institutional customers across the globe. On May 20, Kaiko completed the acquisition of Cometh, an onchain data infrastructure company, which holds authorization under the European Union's Markets in Crypto-Assets Regulation (MiCA) as a registered crypto asset service provider.

Kaiko platform homepage
Homepage of the Kaiko platform. Source: Kaiko.com

In February, Bloomberg revealed a partnership agreement with Kaiko designed to deliver Bloomberg's proprietary financial data feeds directly into blockchain-native ecosystems, moving beyond conventional offchain database systems to tackle the problem of fragmented and inconsistent data throughout tokenized asset markets, as previously reported by Cointelegraph.

Accurate and dependable data infrastructure becomes especially critical in trading environments connected to tokenized real-world assets, where it is essential that onchain representations accurately reflect the valuation of their corresponding traditional financial instruments.

Crypto data firms need to adhere to TradFi standards: Kaiko CEO

Data providers serving the cryptocurrency industry must embrace more rigorous standards similar to those found in traditional finance to support the increasing institutional involvement in digital assets, Kaiko's Soubiran explained to Cointelegraph, stating:

"The growing participation from banks, asset managers, and hedge funds accelerates the demand, and this acquisition is the completion of a strategy that has been underway since day one."

The Amberdata acquisition positions Kaiko as the "only independent, globally regulated company that can serve every data need an institution has," Soubiran emphasized.

LIT trading price chart
Trading price of LIT token, listing time shown minute-by-minute. Source: Kaiko

In earlier developments during May, Kaiko's analytics platform identified suspicious trading activity patterns that indicate certain market participants may be frontrunning cryptocurrency listing announcements on the Robinhood platform, suggesting that some traders potentially have early access to confidential listing details or have developed an "exceptionally reliable front-running methodology built on public signals."

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