# Kinetica AI

**Source:** https://www.startuphub.ai/startups/kinetica-ai
**Profile type:** Startup

> Kinetica AI is a data analytics platform that leverages AI to accelerate data processing and insights.

## About

Kinetica AI provides a real-time analytical database and data science platform designed to ingest, process, and analyze vast amounts of data at high speeds. It aims to empower organizations to derive immediate insights from their data, enabling faster decision-making and operational efficiency.

## Key facts

- **Slug:** kinetica-ai
- **Website:** http://kinetica.ai/
- **Location:** San Francisco, United States
- **Founded:** 2017-03-01
- **Operating status:** Active
- **Total funding:** $240M
- **Sectors / tags:** Data Analytics, Real-time Analytics, AI Infrastructure, Database, Data Science, Business Intelligence, MLOps, Analytics Platform
- **Social:**
  - GitHub: https://github.com/google

## Frequently asked

### What does Kinetica AI do?

Kinetica AI provides a real-time analytical database and data science platform designed to ingest, process, and analyze vast amounts of data at high speeds. It aims to empower organizations to derive immediate insights from their data, enabling faster decision-making and operational efficiency.

### What is Kinetica AI's revenue?

StartupHub estimates Kinetica AI's annual revenue at $72.9M (range $26.9M to $183.9M, 28% confidence), based on comparable companies in the sector.

### What is Kinetica AI's valuation?

StartupHub estimates Kinetica AI's effective valuation at $972.3M (range $600.0M to $1.4B, 10% confidence), based on comparable companies in the sector.

### How much funding has Kinetica AI raised?

Kinetica AI has raised a total of $240M in funding. The most recent round on record is Series D.

### Where is Kinetica AI headquartered?

Kinetica AI is headquartered in San Francisco, United States.

### When was Kinetica AI founded?

Kinetica AI was founded in 2017.

### What industry does Kinetica AI operate in?

Kinetica AI operates in Data Analytics, Real-time Analytics, AI Infrastructure, Database, Data Science, Business Intelligence.

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