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Top AI2sql.io Alternatives, Competitors & Similar Software

Founded 2023

Find 4 competitors in the Other Analytics Software. Compare other SaaS such as Tellius, Retool and Snorkel AI. These AI2sql.io competitors have raised $308.3M and together serve more than 100 customers and employ over 1.5K team members.

Compare AI2sql.io with Tellius
1
Tellius

Other Analytics Software

Tellius is a data analytics platform that enables business users to easily access, analyze, and visualize their data. It leverages artificial intelligence and machine learning to provide insights and make data-driven decisions. The platform offers features such as data exploration, interactive dashboards, predictive analytics, and natural language processing. Tellius aims to empower organizations to derive actionable insights from their data and drive business growth.

Revenue
$22.8M
Customers
-
Year founded
2015
Funding
$17M
Team size
105
Location
United States
Compare AI2sql.io with Retool
2
Retool

Other Analytics Software

Retool is a software company that provides a low-code development platform for building internal tools and applications. Their platform enables businesses to build custom interfaces for their internal data sources and APIs without having to write code from scratch. Retool's customers include companies such as DoorDash, Peloton, and Plaid. The company was founded in 2017 and is headquartered in San Francisco, California.

Revenue
$138.6M
Customers
100
Year founded
2017
Funding
$76M
Team size
466
Location
United States
Compare AI2sql.io with Snorkel AI
3
Snorkel AI

Other Analytics Software

Snorkel AI is a software company that provides a platform for building and managing training data for machine learning models. Their platform allows developers and data scientists to label data programmatically and efficiently, using a combination of weak supervision and human-in-the-loop labeling. By automating the data labeling process, Snorkel AI enables companies to train machine learning models faster and with higher accuracy, while reducing the cost and time required for data labeling. The company was founded in 2019 by a group of researchers from Stanford University and is based in Palo Alto, California.

Revenue
$148M
Customers
-
Year founded
2019
Funding
$135.3M
Team size
776
Location
United States