AI Insights + Actions Everywhere
Instantly deliver the What, Why, and How behind every decision — right where it matters.
81% of business data isn't leveraged for decisions, because...
Easily White Label AI Analytics
Deliver conversational Q&A analytics, deep AI insights, interactive data Vizpads, and automated advanced analytics — along with powerful autonomous agents to do complex multistep analysis — directly into your enterprise business applications, customer applications, as well as to suppliers or partners
Go from Static to Interactive.
Enable intuitive, accurate question-and-answer interface to your enterprise and consumer applications that goes WAY beyond simplistic chat bots, guiding your end-users to find high-value insights from your data conversationally, with interactive visualizations, unlimited drill paths, and automated insights.
Learn MoreGet to the WHY, ASAP.
Our AI-powered engine combines automated analysis and machine learning to transform scattered data points into clear, actionable insights - eliminating guesswork and revealing hidden patterns and outliers in seconds.
Learn MoreDrag-and-drop.
Unlimited drill down and sharing.
Beautiful visual data stories, complimented by AI auto narratives can be customized, shared, and acted upon collaboratively
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Up and running in minutes.
Rapidly deployable and intuitive with AI-based automations, Tellius enables you to build embedded apps that scale to meet your desired concurrency and performance needs.
Learn MoreEmbed what you need, where you need it.
From conversational Q&A to Vizpads and AI insights to point-and-click predictive analytics, Tellius empowers teams to seamlessly incorporate analytics into existing apps and workflows.
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Put AI Answers and Insights – Right Where Decisions Happen
Empower your teams to act decisively by embedding AI-powered answers and automations directly into every tool, process, and decision point.
Embedding
Use Cases
Easily embed conversational AI and agentic analytics experiences into your apps, portals, and products
ContactCreate collaborative advantage with AI analytics that used by distributors, suppliers, and other stakeholders to enhance collaboration and create shared value through data-driven insights.
Differentiate your product with embedded AI that delivers personalized recommendations, predictive insights, modern Q&A chat with data, and automated analytics that adapt to each user's needs.
Embed conversational Q&A and deep AI insights within enterprise apps, ERPs, and workflow tools that turn your operational data into proactive decisions - from smart resource allocation to real-time process optimization.
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.
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Augmented Analytics in 2025: The Definitive Guide
This guide lays out a complete picture of where augmented analytics is headed in 2025. It goes beyond buzzwords to explain how AI agents, conversational interfaces, generative insights, and governed semantic layers combine to deliver more than just “what happened”—they show why things change and what to do next. Expect deep dives into agentic workflows, scalability, governance challenges, and real use cases across industries. Whether you’re redesigning your data stack or evaluating new analytics tools, this is your roadmap to making augmented analytics work in practice.
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Answers with Receipts: 5 Frameworks for Governed Multi-Agent Data Analysis
Dive into how organizations can safely scale multi-agent analytics without losing control or accuracy. This post outlines five essential frameworks that ensure strong governance—from semantic layers that enforce consistent metric definitions, to auditing structures that verify agent decisions, and policy controls that manage permissions and risk. Learn how these frameworks help balance autonomy & trust, reduce ambiguity, and make data analysis reliable and repeatable in enterprise contexts.
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10 Battle Scars from Building Agentic AI Analytics
This blog dives into the practical challenges (“battle scars”) encountered while moving agentic AI analytics from demo to production. Covering real-world engineering and product lessons, it highlights pitfalls like ambiguous language, mismatched definitions, performance tail‑latency, lack of observability, and unreliable multi‑step logic. For each scar, it provides strategies—governed semantics, demander/validator separation, deterministic planning, explicit feedback loops, and transparency—that help build robust, trustworthy analytics agents at enterprise scale. If you’re rolling out AI analytics agents, these lessons can help you avoid common traps and ship with confidence.
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.
Tellius 5.2: Conversational AI for Analytics, Done Right
Tellius 5.2 introduces an adaptive conversational interface with feedback and learnings, enabling two-way dialogue with your cloud-scale data in natural language.
The Pelmorex AI-Driven Analytics Journey
Discover how AI analytics is revolutionizing data-driven decision-making at Pelmorex, a global leader in weather and climate analytics.
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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.