Transform raw data into interactive, presentation-ready charts with AI-driven insights.
Graphy is a next-generation data visualization platform engineered to bridge the gap between complex data analysis and high-stakes communication. In the 2026 market, it stands as a leader in 'Generative BI,' where the platform utilizes Large Language Models (LLMs) to interpret natural language queries and automatically map them to optimal visual schemas using D3.js and WebGL rendering. Unlike traditional BI tools that require deep SQL knowledge, Graphy’s architecture focuses on the 'Analyst-in-the-Loop' model, allowing users to connect disparate data sources—ranging from Google Sheets and Airtable to live SQL warehouses—and generate insights via a conversational interface. Its technical stack includes a proprietary 'Theme Engine' for SVG-level customization and a real-time synchronization layer that ensures dashboards reflect live data without manual refreshes. Graphy is strategically positioned for growth-stage startups and marketing agencies who require the aesthetic polish of professional design tools combined with the analytical rigor of enterprise-grade data platforms.
LLM-driven narrative generation that identifies trends, outliers, and correlations within the dataset and summarizes them in natural language.
The open-source BI platform that turns your dbt project into a governed, version-controlled analytics engine.
Convert natural language prompts into high-performance SQL for the Atlassian Data Lake.
Transform fragmented datasets into navigable, high-fidelity neural knowledge graphs for RAG orchestration.
The Business Cloud: Modernizing workflows through real-time data integration, AI, and intuitive app experiences.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Dynamic iframe integration that maintains a live websocket connection to the source data.
Algorithmic color palette generation that extracts branding from a user-provided URL and applies it across all chart components.
Automated detection of data types (Geo, Date, Currency) to suggest the most mathematically sound visualization format.
Allows users to join data from a CSV and a SQL database into a single unified visualization within the app.
Client-side filtering that allows viewers of the shared link to toggle data series without modifying the underlying source.
Uses regression models to project future data points based on historical trends within the chart interface.
Founders spending hours styling Excel charts for a 10-slide deck.
Registry Updated:2/7/2026
Agencies need to report real-time campaign ROI to clients without sending manual weekly emails.
Engineering teams needing visibility into sprint velocity without complex Jira dashboards.