Blogs
How Context and Retries Increase AI Agent Costs
See how AI agent token costs grow as context is repeated through discovery, querying, validation, and correction, and when caching lowers the cost.
How Much Does an AI Data Agent Actually Cost?
Learn the typical cost of an AI data agent, why questions fall into different cost ranges, and how pricing changes as usage grows.
How Data Connections Change AI Agent Costs
Learn how SaaS APIs, warehouse queries, and BI interfaces affect AI data integration costs by changing the work an agent must perform.
When Multi-Agent Analytics Adds More Work Than It Saves
Learn how parallel execution can raise multi-agent system costs when agents duplicate context or depend on one another's results.
How to Reduce AI Analytics Costs Without Sacrificing Reliability
Learn how to reduce AI agent costs by limiting unnecessary work, reusing business logic, validating analysis in stages, and measuring accepted answers.
Why AI Analytics Needs Shared Business Definitions
Learn how a semantic layer for AI analytics keeps company metrics, customer mappings, and reporting rules consistent across AI answers and existing workflows.
What Business Teams Can Do with Supper and Amazon Redshift
See how business teams use Supper with Amazon Redshift to apply company definitions and preserve recurring analytical methods as Skills.
What Business Teams Can Do with Supper and BigQuery
See how business teams use Supper with BigQuery to investigate warehouse and SaaS data through one business analytics experience.
What Business Teams Can Do with Supper and Databricks
See how business teams use Supper with Databricks to analyze governed lakehouse data through company-specific definitions and reusable Skills.
Get Faster Business Answers from Snowflake with Supper
See how Supper helps Snowflake customers answer business questions across warehouse and operational data without replacing their Snowflake environment
How Supper Works with Amazon Redshift
Learn how Supper connects to Amazon Redshift, builds a business semantic model, supports cross-source analysis, and gives teams governed access to data.
How Supper Works with BigQuery
Learn how Supper connects to BigQuery, uses existing data context, supports cross-source analysis, and gives business teams governed access to data.
How Supper Works with Databricks
Learn how Supper connects to Databricks, uses Unity Catalog context, supports cross-source analysis, and gives business teams governed access to data.
How Supper Works with Snowflake
Learn how Supper connects to Snowflake, uses existing Semantic Views, supports cross-source analysis, and gives business teams governed access to data.
How to make AI use your company's own definitions
Supper Business Logic turns your company's terms, acronyms, rules, and definitions into instructions Supper applies to every question, so the same request returns the same answer.
How to make charts with natural language
Supper Charts turns data into visualizations from a plain-language request, then lets you refine the chart by conversation, with no chart-editor menus or settings to learn.
Coming soon
A short video from the Supper founders.
Supper MCP for LLMs
A semantic layer for trusted company data.
Reusable workflows for data analysis
Supper Skills turn recurring analysis like churn, health scoring, and pipeline risk into reusable workflows your AI agent runs the same way every time, using your team's own definitions.
AI Data Governance for Data Teams
Supper's Admin Control Center helps data teams govern AI data usage through shared definitions, visibility into activity, and access controls.
How Supper's Semantic Agent Keeps Business Context Current
Supper's Semantic Agent helps data teams find, investigate, and improve the business context that AI agents use to answer data questions.
Why AI Data Platforms Use Multiple AI Agents
AI data platforms use multiple agents because analysis, semantic modeling, and dashboard building need different tools and context. See how Supper's three agents split the work.
Supper's Skill Parser
Turn existing skill files into structured, reusable workflows Supper can understand.
The Supper SQL IDE Keeps SQL in the Analytics Workflow
Supper's SQL IDE gives technical users a professional SQL workspace connected directly to conversational and agentic data analysis.
User Entitlements for Agentic Analytics
Supper User Entitlements lets data teams control which schemas, tables, and columns each user can access through agentic analytics.
Committing to the AI Era
A short video from the Supper founders on committing to the AI era.
Green, Green, Green… Churned
A short video from the Supper founders on the churn hiding behind all-green dashboards.
Can You Trust Your Data?
A short video from the Supper founders on whether you can trust your data.
The Magic Spreadsheet
A short video from the Supper founders on the magic spreadsheet.
Lessons from Fintech We Brought to Supper
A short video from the Supper founders on the lessons from fintech we brought to Supper.
Shipping in 2026
A short video from the Supper founders on what shipping looks like in 2026.
Beyond the 10x Engineer
A short video from the Supper founders on what comes after the 10x engineer.
The "Modern" Data Stack Trap
A short video from the Supper founders on the trap of the so-called modern data stack.
The Trough of Disillusionment
A short video from the Supper founders on the trough of disillusionment.
Founder-led Sales
A short video from the Supper founders on founder-led sales.