Conversational Analytics
ChatGPT-like interface to all your enterprise data & analytics
Chat-based AI fails for 78% of queries because…
Conversations that truly move the business forward
Enable everyone – from data experts to business users to take data-driven action. Discussions, not dashboards. Rapport, not reports.
Ask any analytic, operational, data, or data-about-data question
Move beyond simple questions to complex, multi-layered analysis that uncovers hidden relationships - from drilling into metadata to chaining insights together, all in a single fluid conversation.
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Your Firm’s Knowledge DNA, Accessible to All
Your answers are imbued with your firm’s unified intelligence that understands the intricate relationships between your data, business terminology, and operational reality - creating a living brain that speaks your firm's language to answer your tough questions.
Learn MoreAccurate, Trusted Answers
Power your decisions with secure, behind-your-firewall LLMs that anchor every response in deterministic analysis and intelligent document retrieval - delivering answers that are always grounded, guardrailed, and trustworthy.
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Personalized, Deep Insights
Adapt instantly to every user's role and needs, delivering insights in their preferred format - whether that's executive summaries for strategic planning or granular analysis for technical teams - while maintaining consistent accuracy across all levels of the organization.
Learn MoreSmarter, Continuous Learning
Transform daily interactions into organizational wisdom as our AI learns at both micro and macro levels, constantly refining its understanding to deliver increasingly powerful insights.
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Action-oriented, Always
Turn conversations and insights into outcomes through AI-guided exploration, anticipated crucial questions, and triggered automated workflows - ensuring analysis turns to action.
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Move Beyond Basic Chat—Converse with Your Data and Act in Real Time
Stop struggling with guesswork and clunky tools. Our platform unifies every data source, delivering context-rich answers that drive your next big move.
Breakthrough Ideas, Right at Your Fingertips
Dig into our latest guides, webinars, whitepapers, and best practices that help you leverage data for tangible, scalable results.
Why Did Market Share Decline? The Decomposition Analysis Most Teams Get Wrong
Most CPG teams can see that market share moved, but not why—because they rely on slow, manual “share analysis” that stops at charts instead of diagnosis. The blog explains how proper market share decomposition should break a change into concrete drivers (distribution, velocity, price/mix, and competitive moves) at retailer, region, and segment level, instead of confusing simple correlations or national averages with true attribution. It shows how AI automates the hard parts—data integration, baseline modeling, and competitive tracking—so brand managers can ask “Why did share drop at Kroger last month?” and instantly see quantified drivers and recommended actions. With this always-on decomposition, teams move from week-long investigations and stale insights to fast, retailer-specific decisions that actually recover and grow share.
How Agentic Analytics Automates Executive Reporting
AI-powered narrative generation turns variance analysis into board-ready CFO commentary in seconds instead of days. The blog shows how agentic analytics monitors performance continuously, decomposes variances, and auto-writes tailored summaries for executives, business partners, and the board—while keeping every sentence traceable to source data. Finance leaders still own the judgment and messaging, but they reclaim close-week time by automating the repetitive “what happened and why” part of reporting.
AI-Powered Variance Analysis for FP&A: Root Cause in Seconds, Not Days
AI-powered variance analysis automates the painful “why did we miss budget?” work that FP&A teams currently do in Excel over 3–5 days every close. Instead of testing price, volume, mix, region, and channel hypotheses one by one, an AI platform connects to ERP, planning tools, and warehouses, decomposes budget-vs-actual gaps across all drivers in parallel, and ranks the true root causes in seconds—often at dimensional intersections humans don’t check. A governed semantic layer keeps definitions for revenue, EBITDA, and variance consistent, while agentic analytics continuously monitors KPIs, triggers investigations when thresholds are breached, and generates executive-ready narratives and P/V/M breakdowns automatically. The blog explains what AI does not replace (finance judgment, strategic decisions, stakeholder storytelling), addresses common objections around messy data and trust, outlines an 8–12 week implementation path, and offers a checklist for evaluating variance analysis platforms—highlighting when this kind of AI is a strong fit for finance teams.
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Tellius 5.3: Beyond Q&A—Your Most Complex Business Questions Made Easy with AI
Skip the theoretical AI discussions. Get a practical look at what becomes possible when you move beyond basic natural language queries to true data conversations.
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Tellius AI Agents: Driving Real Analysis, Action, + Enterprise Intelligence
Tellius AI Agents transform business intelligence with dedicated AI squads that automate complex analysis workflows without coding. Join our April 17th webinar to discover how these agents can 100x enterprise productivity by turning questions into actionable insights, adapting to your unique business processes, and driving decisions with trustworthy, explainable intelligence.
PMSA Fall Symposium 2025 in Boston
Join Tellius at PMSA Oct 2–3 for two can’t-miss sessions: Regeneron on how they’re scaling GenAI across the pharma brand lifecycle, and a hands-on workshop on AI Agents for sales, HCP targeting, and access wins. Discover how AI-powered analytics drives commercial success.