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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Pandada AI is an innovative platform that leverages artificial intelligence to streamline the process of data analysis, making it both swift and precise. This tool is invaluable for professionals in various fields such as business, research, finance, and marketing, enabling them to quickly convert spreadsheets, PDFs, presentations, and online data into actionable insights without needing to rely on SQL, Python, or extensive manual editing. Users have the capability to upload as many as 20 files simultaneously, allowing for comprehensive analysis across multiple documents within a unified workspace. The platform also features efficient workflows that automate repetitive tasks like creating charts, merging files, and converting PDFs to Excel or Word formats. With a commitment to delivering results that boast an impressive accuracy rate of 90–100%, Pandada AI empowers both technical and non-technical users to transform raw data into informed decisions significantly faster, achieving results up to ten times quicker than traditional methods. By removing barriers to data analysis, Pandada AI opens the door for more informed decision-making across diverse industries.

Description

Quadratic empowers your team to collaborate on data analysis, resulting in quicker outcomes. While you may already be familiar with spreadsheet usage, the capabilities offered by Quadratic are unprecedented. It fluently integrates Formulas and Python, with SQL and JavaScript support on the horizon. Utilize the programming languages that you and your colleagues are comfortable with. Unlike single-line formulas that can be difficult to decipher, Quadratic allows you to elaborate your formulas across multiple lines for clarity. The platform conveniently includes support for Python libraries, enabling you to incorporate the latest open-source tools seamlessly into your spreadsheets. The last executed code is automatically returned to the spreadsheet, and it accommodates raw values, 1/2D arrays, and Pandas DataFrames as standard. You can effortlessly retrieve data from an external API, with automatic updates reflected in Quadratic's cells. The interface allows for smooth navigation, permitting you to zoom out for an overview or zoom in to examine specifics. You can organize and traverse your data in a manner that aligns with your thought process, rather than conforming to the constraints imposed by traditional tools. This flexibility enhances not only productivity but also fosters a more intuitive approach to data management.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

JavaScript No 
Python No 
SQL No 

Integrations

JavaScript Yes 
Python Yes 
SQL Yes 

Pricing Details

$19/month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Pandada AI

Founded

2025

Country

United States

Website

pandada.ai/

Vendor Details

Company Name

Quadratic

Website

www.quadratichq.com

Product Features

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Spreadsheet

Analytics No 
Audit Trail No 
Calculators No 
Charting No 
Multi-User Collaboration No 
Templates No 

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