Tredence Releases a Collection of AI Agents Enabling Autonomous Decision Intelligence
Tredence, a global leader in data science and AI solutions, is introducing Milky Way, a multi-agent, multi-turn agentic decision system that transforms enterprise decision-making using autonomous AI agents.
Built specifically for enterprise environments, the platform deploys specialized AI agents as digital co-workers that reason, collaborate, and deliver business outcomes at remarkable speed and scale, the company said.
Milky Way combines Tredence's decade of domain expertise with a robust architecture featuring more than 15 prebuilt agents tailored across critical business roles and 50-plus specialized agents all trained on real-world enterprise scenarios.
Unlike traditional AI assistants that require constant human supervision, Milky Way agents operate autonomously across crucial business functions, according to the company.
"What sets Milky Way apart is its focus on delivering business outcomes rather than technical sophistication," said Sumit Mehra, chief technology officer and co-founder at Tredence. "Our agents don't just process data, they understand business context, maintain decision history, and scale insights without scaling teams."
The platform features specialized business agents, such as customer analysts who address churn and journey issues, marketing analysts who optimize campaigns, supply chain Analysts who manage inventory and anticipate disruptions, shopper insights analysts who improve customer understanding and market research, and product analysts who enhance lifecycle management with predictive insights.
These agents are complemented by technical specialists, including Text-to-SQL, anomaly detection, question clarification, and report generation, among others. Together, they function like experienced analyst teams, asking the right questions, investigating hypotheses, and generating contextual insights that are accurate, and auditable, the company said.
"The enterprise AI landscape is shifting from tools to teammates," said Shub Bhowmick, CEO and co-founder of Tredence. "The real challenge isn’t building smarter models, it’s building systems that understand context, adapt to complexity, and drive meaningful outcomes. Most GenAI platforms are still limited to generating responses. With Milky Way, we’ve taken a different path, creating agents that reason through problems, connect the dots, and act with purpose. It’s not about replacing people; it’s about augmenting them with intelligence that’s deeply aligned to how businesses actually work. That’s how we move from experimentation to execution.”
For more information about this news, visit www.tredence.com.