# Vine Analytics

> Vine Analytics is an agentic business intelligence (BI) platform from Upvote Technologies. AI agents connect to a company's data, build dashboards, investigate performance and answer business questions in plain language, governed by one semantic model and running in the customer's own cloud.

Website: https://vineanalytics.ai/
Company: Upvote Technologies (https://upvote.app)
Contact: admin@upvote.app

## Key facts
- Category: agentic analytics / AI business intelligence for mid-sized and large enterprises
- Core message: Stop building dashboards. Start making decisions.
- Vine Semantic Model: one certified definition per metric, agreed with the business
- Every chart is traceable to the SQL query behind it
- 750+ pre-built connectors (ERP, CRM, billing, warehouses, spreadsheets)
- Deploys in the customer's own AWS, Microsoft Azure, Google Cloud or Oracle Cloud (OCI) account, in a private VPC behind SSO
- No training on customer data, no retention
- Agentic alternative to Power BI and Tableau; reads existing Power BI (JSON) and Tableau (XML) files and rebuilds dashboards to cell-level parity
- Built on Claude, inside a governed platform (privacy, IAM, semantic model, connectors, refresh, lineage)

## Pages
- [Home](https://vineanalytics.ai/): Stop building dashboards. Start making decisions. Vibe analytics, without the vibes. The agentic alternative to Power BI and Tableau: every answer traced to its SQL, on one certified semantic model, in your own cloud.
- [Why agentic BI](https://vineanalytics.ai/#why): Work is going conversational; analytics is next.
- [Product: connect, model, verify](https://vineanalytics.ai/#product): Connectors, the Vine Semantic Model and SQL traceability.
- [Film](https://vineanalytics.ai/#film): A 57 s film of the product, and the full 66 s demo recording.
- [Platform](https://vineanalytics.ai/#platform): What turns a Claude prototype into a governed analytics platform.
- [Architecture](https://vineanalytics.ai/#governance): The systems Vine runs in the customer's cloud.
- [Migration from Power BI and Tableau](https://vineanalytics.ai/#migrate): Vine reads existing files and rebuilds dashboards to cell-level parity.
- [Team](https://vineanalytics.ai/#team): The founders.
- [Book a demo](https://vineanalytics.ai/#demo): A pilot on the customer's own data, in the customer's cloud. Pick a time: https://calendar.app.google/4y1g4SNPZRj2tuMC7
- [FAQ](https://vineanalytics.ai/#faq): Ten questions about Vine Analytics.

## Media
- [Vine Analytics: the film](https://vineanalytics.ai/film/vine-film-1080p.mp4): A 57-second film of Vine Analytics: a business user asks for a dashboard in plain English and the agent builds it, with every number traced to its source.
- [Vine Analytics: the full demo](https://vineanalytics.ai/demo/cip-ai-dashboard-1080p.mp4): The uncut 66-second recording of a Vine Analytics session from an earlier deployment: the request, the agent's clarifying questions, the plan, the built dashboard and the follow-up.

## Founders
- [Jaques Castello](https://www.linkedin.com/in/jaques-castello), Co-founder & CEO: 12 years in CPG: Global Head of Analytics, US Pricing at Kraft Heinz
- [JP Steiner](https://www.linkedin.com/in/jo%C3%A3o-steiner-7a1382119), Co-founder & CFO: 8 years in CPG: Strategy & eCommerce at Kraft Heinz
- [Michel Sena](https://www.linkedin.com/in/michel-sena-397209119), Co-founder & CTO: 7 years in software engineering: React, Next.js, Node.js, Python, Django, PostgreSQL, dbt, LangChain

## FAQ
### What is Vine Analytics?
Vine Analytics is an agentic business intelligence (BI) platform from Upvote Technologies. AI agents connect to a company’s data, build dashboards, investigate performance and answer business questions in plain language, in minutes. Every answer is governed by one semantic model and traceable to the SQL behind it.

### What is agentic analytics?
Agentic analytics is business intelligence where AI agents do the analytics work: writing the SQL, building the dashboard and investigating the variance. People ask the questions and make the decisions. In Vine Analytics, every agent answer is traceable to the query that produced it.

### Who makes Vine Analytics?
Vine Analytics is built by Upvote Technologies. It was co-founded by Jaques Castello (CEO), former Global Head of Analytics for US Pricing at Kraft Heinz; JP Steiner (CFO); and Michel Sena (CTO), a serial founder and software engineer.

### Is Vine Analytics an alternative to Power BI or Tableau?
Yes. Vine Analytics is an agentic alternative to Power BI and Tableau, and companies don’t need to start over. Power BI files are JSON and Tableau files are XML under the hood: Vine reads them, rebuilds the dashboards against one semantic model and validates them to cell-level parity.

### Does Vine Analytics send company data to an LLM provider?
No. Vine Analytics runs in the customer’s own cloud account, in a private VPC behind SSO. AI models are called through the cloud provider’s private endpoint, with no training on customer data and no retention.

### Which clouds and data sources does Vine Analytics support?
Vine Analytics deploys in the customer’s own AWS, Microsoft Azure, Google Cloud or Oracle Cloud (OCI) account. It connects to ERPs, CRMs, billing systems, data warehouses and spreadsheets through 750+ pre-built connectors.

### How does Vine Analytics make sure AI answers are accurate?
Vine Analytics answers every question from the Vine Semantic Model, which holds one certified definition per metric, agreed with the business. Every chart shows the SQL query behind it, so finance and data teams can verify any number.

### How is Vine Analytics different from using Claude or ChatGPT on company data?
Claude or ChatGPT build one answer at a time for one person. Vine Analytics puts Claude inside a governed platform (privacy, IAM, one semantic model, managed connectors, refresh and lineage), so every team gets answers the company can stand behind.

### What does a Vine Analytics pilot involve?
A Vine Analytics pilot is a scoped engagement on the customer’s own data, deployed in the customer’s cloud. The Vine team starts from the dashboards the company already relies on and does the build alongside its BI team.

### What happens to the BI team when a company adopts Vine Analytics?
With Vine Analytics, the BI team stops working through a queue of routine requests and moves to higher-value work: control towers, process and architecture.

## Optional
- [Full text of the site](https://vineanalytics.ai/llms-full.txt): every section of the page, in order
- [Upvote Technologies on LinkedIn](https://www.linkedin.com/company/upvote-technologies-inc)
- [Upvote Technologies](https://upvote.app)