Lower the bar with AI

Drive intelligent decisions no matter who’s asking the questions. Auto Discover and Smart Insights deliver in-depth understanding and data with just a few clicks. Our AI/ML algorithms surface correlations, commonalities, and anomalies and perform Pareto, categorical, and trend analysis across your data in seconds.

Pyramid leverages AI across the platform. Integrated ChatGPT generates SQL, DAX, and MDX queries and Python and R machine-learning logic. Use natural language to build spreadsheet formulas for business modeling, generate designs for content and graphics, or use our existing NLQ engine to deliver broader insights, automate storytelling, and analyze text on enterprise data.

AI-driven “Explain” and “Explain the Difference” features let you pick any data points in a visualization—Pyramid will dive into the data model to deliver holistic insights, understand anomalies, provide descriptive and diagnostic analysis, display data drivers, and clearly describe the reasons for underlying differences between any two data points.

Easily build business and decision models with complex logic waterfalls, conditions, and decision points with Tabulate and Solve. Surface machine-generated prescriptive analytics and decisions—answering both “what should I do” questions and “what if” simulations—through a simple yet powerful UI.

Data scientists and analysts know that data prep takes time. We created Smart Modeling with them in mind. Automate the creation of intricate-yet-robust data models. With a few clicks, leverage heuristics to determine model relationships and forego complex data transformation or data cleansing. And with Fill In the Blank, fill nulls and bridge gaps for time series and trend analysis in any dataset to drive accurate forecasting.

Pyramid’s Chat Bot takes an intuitive and flexible approach to report-building and data discovery. Build data visualizations without requiring traditional analytics and BI actions. Using natural language, alter visualizations, drill, dice, swap, filter, and sort data while leveraging convenient prompts derived from key elements in the data model and generating recommended queries. Ask the right questions without knowing the underlying data structures, hierarchies, and measures.