Grafa
Kaiko buys Amberdata in institutional data push
Image for illustrative purposes only. Not a real photo.

Kaiko buys Amberdata in institutional data push

Share

Paris-based crypto data platform Kaiko has acquired US digital asset data provider Amberdata to expand its institutional-grade crypto analytics offering as demand for market, derivatives and onchain data continues to rise.

The acquisition adds Amberdata’s derivatives analytics capabilities, AI-powered research tools and the GVOL options analytics platform, a product Kaiko said has been among the most requested features from institutional clients.

“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,”

Said Kaiko CEO, Ambre Soubiran.

The transaction was completed on Monday for an undisclosed amount and marks Kaiko’s fifth acquisition as the company continues consolidating crypto market data, derivatives analytics and blockchain infrastructure services.

Soubiran said Amberdata’s acquisition makes Kaiko the “only independent, globally regulated company that can serve every data need an institution has,” while the combined business will support around 250 institutional clients worldwide.

The acquisition follows Kaiko’s purchase of onchain infrastructure provider Cometh in May, a company licensed under the European Union’s Markets in Crypto-Assets Regulation framework as a crypto asset service provider.

Kaiko has also expanded its institutional footprint through a partnership with Bloomberg announced in February, while its research team recently highlighted potential frontrunning activity linked to crypto listing announcements on Robinhood, underscoring the growing importance of reliable market data for institutional investors.

Frequently asked questions

Grafa is not a financial advisor. You should seek independent, legal, financial, taxation or other advice that relate to your unique circumstances.

Grafa is not liable for any loss caused, whether due to negligence or otherwise arising from the use of or reliance on the information provided directly or indirectly, by use of this platform.