
Tredence, a global data science and AI solutions provider headquartered in U.S., launched Milky Way, a new decision‑intelligence platform builds to enable autonomous, enterprise‑scale decision‑making via AI agents.
This multi‑agent, multi‑turn system helps organizations with over 15 prebuilt business‑role agents and 50 specialized agents to support core functions including marketing, supply chain, customer analytics, shopper insights, and product lifecycle management.
Early installers report that Milky Way helps companies get analytics insights up to five times faster
- Up to five‑fold improvement in time‑to‑
- Approximately 50% reduction in analytics costs.
- For instance, a global retailer reduced manual merchandising efforts by 60%, while healthcare applications quickly automated patient data triage.
Key features includes: -
- Industry Agent: Improving operational performance across merchandising, customer engagement, and compliance.
- Support Engineer Agent: Identifies and fixes system problems before they generate.
- Data Engineer Agent: Using smart and fast automation speeds up building and moving pipelines.
Its architecture enables agents to make decisions with traceable logic and continuous improvement. It integrates smoothly with existing systems while maintaining transparency and security through audit logs and role-based controls.
The platform allows smooth integration with existing systems while ensuring transparency as well as safety through audit logs and role-based controls. Its architecture supports clear decision tracing and continuous advancement.
Tredence is a well-known data and AI company aims on bridging the gap between insights and action. It is located globally including the San Francisco Bay Area, Chicago, London, Toronto, and Bengaluru, it delivers solutions across industries like retail, CPG, BFSI, healthcare, telecom, etc. The company is also expanding rapidly: it plans to hire 1,700 people in 2025, with 30% focused on agentic and generative AI, and aims to train over 1,000 employees in these technologies.
