Tellius, the AI analytics firm, today unveiled Agent Mode, a major upgrade to its AI Analyst platform, Kaiya, designed to deliver deep, governed analytics across massive, complex enterprise datasets. The enhancement enables autonomous planning and execution of multi-step, multi-metric, and multi-dimensional analysis while supporting user-defined agentic workflows.
Agent Mode allows both business users and technical teams to generate insights on petabytes of messy enterprise data—spanning thousands of columns and multiple business systems—using natural language. Key capabilities include:
Deep Insights
Kaiya performs multi-step, context-aware analysis akin to “deep research” modes in advanced AI models but tailored for enterprise-scale applications. Users can conduct variance analysis, cohort retention tracking, anomaly detection, causal probes, forecasting, segmentation, benchmarking, contribution analysis, what-if scenarios, and more—previously requiring specialized analyst or data science teams. Results include visual charts, recommendations, and robust, actionable summaries.
Custom Agentic Workflows
Organizations can define and automate deep-dive analytics processes, standardizing complex workflows for repeated execution across teams. This ensures governed, repeatable, and scalable analysis, even in highly regulated or complex business environments.
“Agent Mode compresses weeks of analytical work into minutes or seconds,” said Ajay Khanna, CEO and founder of Tellius. “Our always-on, always-learning AI analyst completes everyday workflows and provides actionable insights to help teams make smarter decisions faster.”
Enterprise-Grade AI Context
Vinod Iyengar, Head of Product at Tellius, explained, “Unlike most AI copilots, which lack semantic understanding of business data, we’ve built a multi-agent system that understands not only your data, but your users and business context. Planner, analyst, and deep research agents collaborate to ensure context-grounded, accurate insights emerge in a robust summary that’s actionable and highly relevant.”
Industry Applications
Agent Mode is built for diverse sectors, including:
- Commercial Pharma: Automate brand performance deep dives, analyze payer and access drivers, and pinpoint field performance variances.
- Consumer Packaged Goods (CPG): Conduct root-cause analysis of sales lifts and category shifts, track promotion impacts, and build adaptive demand forecasts.
- Technology & SaaS: Monitor churn, feature adoption, and usage-to-revenue correlations while surfacing early retention or expansion indicators.
- Revenue Operations (RevOps): Diagnose pipeline health, detect anomalies in conversion or velocity, and forecast attainment with multi-step reasoning.
- Financial Planning & Analysis (FP&A): Generate variance analyses, uncover forecast deviations, and simulate budgets through reusable analytical workflows.
Agent Mode represents a step forward in autonomous, enterprise-scale analytics, combining deterministic engines with generative intelligence to deliver faster, explainable, and highly actionable insights for business teams across industries.
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