Why the Future of AI Analytics Is Multi-Model - and Zoë Is Leading the Way
Zoë Is Now Multi-Model: Choose the Right AI Model for Every Data Question
At Zenlytic, we believe that the best business insights come from using the right AI tool for the right data task. That’s why we’ve expanded Zoë, our conversational AI data analyst, to support multiple AI models, giving every user the power to choose the model that fits their specific question or workflow.
Not all AI models for analytics are created equal. Some are built for speed and simplicity, perfect for quick answers like:
“What’s our top-selling product this month?”
Others are designed for deep analytical reasoning, ideal for tackling complex business intelligence challenges such as uncovering customer behavior trends or forecasting production changes under new market conditions or tariffs.
By allowing users to select the AI model that best fits their query, Zoë delivers accuracy, speed, and context—without compromise. Whether you need instant insights or in-depth data analysis, Zoë helps you uncover the answers that drive smarter, faster decisions.
With Zoë, you always have the right AI model for your data question—just ask.
Best ways to use some of the Recommended Models
Claude Sonnet 4.5
Your go-to for most business questions - Exceptional at causal analysis, pattern recognition, and understanding complex business context.
Example: "Why did our conversion rate drop last quarter and what factors contributed?"
Example: "Analyze the relationship between marketing spend and customer lifetime value"
GPT 4.1
Your choice for speed and precision - Fast responses with exceptional ability to follow specific instructions and formatting requirements.
Example: "Extract Q3 metrics in this exact format: [Metric] | [Value] | [Change %]"
Example: "List top 10 products by revenue (quick check)"
Other Available Models
Claude Opus 4.1
Deep strategic analysis with unmatched causal reasoning for your most critical decisions.
Example: "Provide a comprehensive analysis of market entry risks for our expansion."
Example: "What are all the factors affecting our unit economics and their interdependencies?"
Claude Sonnet 4
Reliable, balanced performance similar to 4.5 but with slightly less advanced capabilities.
Example: "Compare this month's performance to last month"
Example: "What are the main drivers of customer satisfaction?"
GPT-5
Advanced model for complex predictive analytics and multi-variable scenario modeling
Example: "Model 5-year revenue impact across 50 different market scenarios with economic variables"
Example: "Predict customer lifetime value using behavioral, demographic, and macroeconomic factors with confidence intervals"
GPT-4o
Deprecated in favor of GPT 4.1.
Example: "Create a Python script to analyze this sales data"
Example: "Calculate the statistical significance of our A/B test results"
Claude Sonnet 3.5 / 3.7
Deprecated in favor of Claude 4.5 Sonnet.
Example: "What's our current monthly recurring revenue?"
Example: "Summarize yesterday's sales figures."
Gemini 2.5 Pro / Flash
Alternative models for basic queries (not optimized for Zenlytic environment).
Example: Basic metric queries
Example: Simple data summaries
Chose the right AI model for your data question
If you have your own model internally, no problem. We can connect to it.
Choosing the right AI model is easy.
