The use case: how MarketAxess deploys H2O.ai
MarketAxess built Composite+, a proprietary algorithmic bond pricing engine powered by H2O Driverless AI and H2O-3, which uses machine learning to score corporate bonds continuously and refresh prices on a regular cadence. The pricing feeds into its electronic trading platforms and tools used by traders.
More reported results
Figures published in H2O.ai’s case study. They are not independently measured by usedby.
Composite+ scores 24,000 corporate bonds in real time across global markets and reprices them every 15 seconds.
In the customer’s words
H2O is an integral part of the Composite+ pricing engine and provides fundamental machine learning that makes our algorithms run better, with more accurate and timely pricing for our clients.Other companies using H2O.ai
Customers across industries, with public evidence.
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Based on H2O.ai’s published case study. We check the public evidence; the results are reported by the vendor.
h2o.ai- Last checked
- Oct 29, 2026
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- MarketAxess uses H2O.aiChecked
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Composite+ scores 24,000 corporate bonds in real time across global markets and reprices them every 15 seconds. Machine learning reduced model scoring errors by an average of $0.66 per bond, sharpening the accuracy traders rely on.