Golden Analytics

What Golden Analytics does

Golden Analytics is an AI-native BI platform designed for data teams, aiming to overcome the limitations of current tools. It provides the depth of self-service analytics without rigidity, the accessibility of a modern design tool, and AI that genuinely augments analysts' work. The platform allows users to connect to various data sources, discover insights automatically, prepare data without code, analyze with advanced visualizations, communicate findings effectively, and collaborate within a governed environment. It emphasizes speed, depth, and accessibility for everyone, from analysts to business users and data leaders. Golden Analytics aims to make data accessible and actionable for all, fostering a modern data culture.

Key capabilities

• AI-native analytics
• Self-service analytics
• Modern design tool accessibility
• Automated insights surfacing
• Visualizations and dashboards ready quickly
• Complex data cleaning
• Advanced calculations
• Design-quality visuals
• Collaborative environment
• Slider of autonomy for AI interaction
• Connects to various data sources (laptop, data warehouse)
• Instant data discovery
• No-code data preparation, cleaning, transformation, and enrichment
• Comprehensive visualization builder
• Multiple communication methods for insights
• Shared team workspaces
• Natural language queries
• Auto-generated insights
• Smart visualizations
• Narrative explanations
• Anomaly detection
• Smart data preparation
• SSO and OAuth integration (Enterprise plan)
• Granular security controls (Enterprise plan)
• Connect to MCP Servers (Enterprise plan)
• Global governed spaces (Enterprise plan)
• Custom onboarding (Enterprise plan)
• Cloud Data Warehouses integration (Snowflake, BigQuery, Redshift)
• File uploads (various formats)
• Multi-Table Schemas and Relationships
• Visual entity relationship diagram
• Relationship editor
• Schema browser
• Visual query builder
• Native SQL editor
• Instant data profile (row counts, nulls, uniqueness, value distributions)
• Data quality scoring
• Field profiles (min, max, mean, top values, cardinality)
• AI-generated key questions
• Quick insights (trends, anomalies, patterns)
• Suggested visualizations
• Dataset summary by AI
• Smart Clean wizard for bulk data cleaning
• AI calculated fields in chat
• Explain This Change with Driver Breakdown for charts
• Overlay Years on Time-Series Charts
• Insertable Links on Dashboards
• Zoom dashboard canvas from keyboard
• Legible dashboard text at any zoom
• Drag dashboard tiles from anywhere
• Streaming Schema Browse for Databricks
• Formatted-Number CSV Columns Import as Measures
• AI Number Formats Apply Everywhere and Undo
• Editable OAuth client ID for Snowflake/Databricks
• Full Sheet Names on Hover
• Storytelling Agent for narrative structuring, chart selection, and commentary
• Curated templates, cohesive color systems, and typography
• Auto-generated layouts
• Role-based permissions
• Data Dictionary definition
• Live data from warehouse (no extracts)
• In-context collaboration
• Real-time data updates

Use cases

• Accelerating data analysis
• Automating insight generation
• Streamlining data preparation and cleaning
• Creating advanced visualizations and dashboards
• Communicating data stories effectively
• Facilitating team collaboration on data
• Governing data environments
• Enabling self-service analytics for business users
• Reducing time from question to answer
• Transforming raw data into polished stories
• Connecting diverse data sources
• Understanding data quality issues quickly
• Identifying patterns and trends in data
• Building custom metrics and advanced calculations
• Presenting data for decision-making
• Defining and trusting metrics across an organization
• Handling repeatable data tasks with AI
• Ensuring data consistency across teams

AI approach

Golden Analytics is an AI-native BI platform that integrates AI throughout the analytics workflow, from data discovery and preparation to analysis and communication. It uses AI for natural language queries, auto-generated insights, smart visualizations, narrative explanations, anomaly detection, smart data preparation, and creating calculated fields. Users can control the level of AI autonomy. The company uses a collection of LLMs and models, optimizing them for specific use cases, and does not allow users to bring their own LLM keys. It processes schema, statistics, and sample data, but does not train on user data or send it to LLMs.

Tech named: LLMs

What it says sets it apart

• AI-native platform, not AI bolted on
• Balance between full control and full automation with 'slider of autonomy'
• Combines data cleaning, analysis, and visualization in one tool
• Designed for both analytical depth and ease of use
• Focus on making data accessible for everyone (analysts, business users, data leaders)
• Governed environment for trusted data
• Queries run directly in the data warehouse, ensuring live and accurate data
• Handles multi-table schemas and relationships without pre-joining
• AI identifies interesting patterns and questions automatically
• No-code data preparation and transformation
• AI handles complex calculations and data cleaning tasks
• Storytelling Agent for automated narrative generation
• Emphasis on design-quality visuals by default
• Collaboration features for shared workspaces and in-context feedback
• Pricing per seat, not per query or AI call
• Does not train on customer data; only uses schema, statistics, and samples
• Currently pursuing SOC 2 certification

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.