Tellius has launched Agent Mode, a big upgrade to its AI analytics platform, Kaiya. This new feature lets the system plan, reason, and execute complex, multi-step analytical workflows on its own. It combines generative intelligence with deterministic analytics. Organizations can now perform deeper, faster, and more context-aware analysis across large enterprise data environments.
With Agent Mode, both business users and data teams can uncover actionable insights from messy, large-scale datasets using natural language. Kaiya leverages SQL, Python, and contextual understanding to conduct multi-step reasoning from anomaly detection and forecasting to causal analysis and segmentation compressing what once took weeks into minutes.
“Agent Mode compresses weeks of analytical work into minutes or seconds, unlocking new levels of automation as our always-on, always-learning AI analyst completes everyday analysis workflows and provides insights and suggestions to help teams make smarter decisions faster,” said Ajay Khanna, CEO and founder of Tellius.
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The feature also supports custom agentic workflows, enabling organizations to design and automate governed analytic processes tailored to their specific needs. According to Vinod Iyengar, Head of Product at Tellius, the innovation stems from a complete architectural overhaul. “Unlike most AI copilots, which may demo well but aren’t connected to your core business systems or have the semantic understanding of your business, we’ve built a multi-agent system that knows what drives revenue and what each function needs to succeed before the user even asks,” he explained.
Agent Mode is immediately available as part of Tellius 6.0, which also introduces enhancements such as improved data deduplication, proactive intelligence feeds, and one-click filtering. The solution has wide-ranging applications across industries from pharma and CPG to SaaS and financial analytics empowering teams to achieve unprecedented depth, accuracy, and speed in decision-making.
