Kaiko Raises $53M in Series B Funding


Kaiko, a Paris, France-based digital assets data provider serving institutional investors and enterprises, raised $53m in Series B funding.

The round was led by Eight Roads, with participation from Revaia and existing investors Alven, Point9, Anthemis, and Underscore.

The company intends to use the funds to further strengthen its institutional data products and infrastructure, and to expand its global presence.

Founded in 2014 and led by Ambre Soubiran, CEO, Kaiko provides a digital assets market information platform enhancing transparency and operational efficiency for institutional companies, DeFi participants, and Web3 enterprises. The company’s product suite comprises market data, portfolio solutions, rates & indices, pricing services, DeFi data, and research covering digital assets that comprise over 95% of global traded volume.

Today, Kaiko serves financial firms including ICE Global Network, Deutsche Börse, Oanda, Bloomberg, and some of the largest asset managers and investment banks in North America and Europe. It is also integrated with the blockchain ecosystem, providing data feeds for participants such as Ledger, Paxos, Chainlink, Tezos, Messari, SupraOracles, Flux, and the Pyth network, a Jump Trading initiative.

The company currently has four global offices in Paris, London, New York, and Singapore, which enables the team to tailor products and marketing to meet the specific needs of local markets.

Over the past year, Kaiko has invested in targeted M&A to expand its institutional product suite. The company recently announced the acquisition of Kesitys, a provider of quantitative decision tools for risk optimization, as well as an agreement with CoinShares for the acquisition of its Napoleon Index subsidiary, enabling the launch of Kaiko Indices.

In February 2022, Kaiko also received their SOC-2 Type-1 accreditation, a gold standard certification developed by the American Institute of CPAs (AICPA) that indicates how companies manage data security, confidentiality, and availability of measurements and controls.