ketteQ Releases Quintus AI for Supply Chain Planning

August 12, 2026
ketteQ has made Quintus generally available, giving supply chain teams an AI system that can answer planning questions, run tasks, and work above existing ERP and planning platforms.

ketteQ announced in a press release the general availability of Quintus, an AI system for supply chain planning and execution. The company said Quintus can work above existing ERP or planning platforms, or as part of ketteQ Planning Solutions and Execution Solutions.

Quintus answers supply chain questions, runs tasks, learns skills, and runs missions inside a governed and auditable framework, according to the announcement. It uses Python code generated and executed on the fly, along with ketteQ's PolymatiQ agentic solver, to test thousands of planning scenarios at once.

The system can be accessed through tools including email, Microsoft Teams, Slack, and Salesforce. ketteQ said Quintus is running live at companies including Alliance Consumer Group, JCI, Mativ, NCR, and Zeus.

At Alliance Consumer Group, ketteQ said inventory turns rose from 2.75 to 4.0, while available to promise answers were delivered inside Salesforce in under 15 seconds during sales calls. Deployments begin in four to eight weeks, and existing ERP and planning systems can remain in place.

We hope you enjoyed this article.

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

Also, consider following us on social media:

Subscribe to 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