Trumid Reports Record April Trading and Expands AI Features

May 8, 2026
Trumid recorded a 34% year-over-year increase in average daily trading volume to $10.2 billion in April, outpacing broader credit market growth. The company also launched Smart Voice, an AI tool that converts trading conversations into trade tickets.

Trumid announced in a press release that its average daily trading volume reached $10.2 billion in April, a 34 percent increase compared to the previous year. This growth outperformed the broader credit market, which rose 1 percent according to TRACE data. The company also reported record platform and U.S. Investment Grade market shares, up 32 percent and 48 percent year-over-year respectively.

List trading through Trumid RFQ and Portfolio Trading advanced 44 percent year-over-year, supported by wider use of automated list workflows, in-application analytics, and real time pricing tools. Approximately one third more buy-side traders executed daily compared to April of the previous year.

Trumid RFQ saw a 118 percent increase in average daily volume, with automation driving 85 percent of eligible RFQ line items executed without manual intervention through the AutoPilot feature. The company also introduced RFQ Auto-Submit, allowing clients to send requests directly from their order management systems.

During the month, Trumid launched Smart Voice, an AI capability that processes client conversations into complete trade tickets within seconds. Built with large language model technology, Smart Voice identifies key trade details such as trader name, bond, size, and direction, supporting both buy-side and sell-side participants and processing about $1 billion in daily volume in April.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.