BestEx Research Launches Pulse AI for Institutional Trading Analytics
BestEx Research launched Pulse AI, an institutional trading analytics interface that connects its Pulse Analytics suite to Claude, ChatGPT, and other AI assistants used by trading desks, the company announced in a press release.
Pulse AI lets traders ask questions and receive answers based on BestEx Research models and market data. The platform covers trading cost analytics across the trade lifecycle, including planning before execution and transaction cost analysis after execution.
The before trade analytics feature is live for global futures. BestEx Research said equities support for before trade analytics is scheduled for October.
The company said broker neutral transaction cost analysis after execution is planned for the first quarter of 2027. That feature is intended to compare execution performance across brokers under a single methodology and surface possible changes to reduce trading costs.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Finance AI Weekly, Sales & Marketing AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Finance
Sep 20 AFP survey finds AI among top treasury priorities Sep 20 Cognetryx Names Julia Cherashore to Advisory Board Sep 19 State Bank Regulators Propose AI Risk Framework Sep 19 Ant International Adds AI Agents Across Financial Services Sep 19 PayrollOrg Survey Finds 46% Uncomfortable With AI in PayrollFinance AI Weekly
Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets
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 moreYou may also like
Exiger Says AI Cut a Three Year Replatforming to Four Months
BlueLedger AI Unveils Public Markets Reconciliation Platform
Kroll Launches APEX for Cyber AI Investment Planning
ControlUp Launches Pulse AI Insights for IT Operations
Alphio.AI Releases AI Investing Workspace for Stocks and Crypto
Daily AI Brief: the AI news that matters, in your inbox.