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What is Supaboard?

Supaboard is a cutting-edge business intelligence tool that harnesses the power of artificial intelligence, enabling users to analyze their data and create real-time dashboards simply by asking questions in natural language. It features seamless one-click integration with over 60 diverse data sources, including MySQL, PostgreSQL, Google Analytics, Shopify, Salesforce, and Notion, which allows users to unify their data effortlessly without the need for complex configurations. The platform includes pre-trained AI analysts designed for specific industries, automatically generating SQL and NoSQL queries to provide rapid insights through visual representations such as charts, tables, and summaries. Users can easily build and modify dashboards by pinning their questions and tailoring the displayed information to meet the needs of various audiences with filtered views. Supaboard emphasizes data security by exclusively connecting with read-only permissions, preserving only schema metadata, and implementing detailed access controls to protect sensitive information. Designed for ease of use, Supaboard drastically cuts down operational complexity, enabling businesses to make informed decisions up to ten times more quickly, all without requiring coding expertise or advanced data skills. This platform not only enhances individual user productivity but also fosters a more agile approach to data-driven strategies across teams, ultimately leading to improved overall business performance and growth.

What is Karl?

Karl is a sophisticated AI solution created to offer clear answers to business-related questions by utilizing your existing data, thereby removing the necessity for SQL, Python, or any data analyst expertise. Users can pose inquiries using everyday language and receive immediate visualizations, forecasts, and detailed reports within seconds. This AI tool harmoniously connects with SQL, NoSQL, cloud data lakes, and real-time data streams for comprehensive data management. Insights are directly accessible through platforms such as Microsoft Teams, Power BI, and Microsoft Fabric, ensuring ease of use. Every response is carefully regulated, traceable to its original source, and firmly grounded in your metadata and lineage context. With specialized analytics agents customized for industries like manufacturing, retail, and banking, the time needed for deployment has been drastically reduced from months to just weeks. Furthermore, it is available as a native feature within Microsoft Fabric, significantly boosting its accessibility and effectiveness. By adopting this groundbreaking approach, businesses can make well-informed decisions more swiftly and efficiently than they ever thought possible, ultimately enhancing their overall operational agility.

Media

Media

No images available

Integrations Supported

Adobe Analytics
Adobe Marketo Engage
Airtable
AlloyDB
BigCommerce
Brex
ClickUp
Datadog
Freshsales
Heap
Luma
Oracle Big Data SQL Cloud Service
PostHog
Snowflake
Statuspage
SurveyMonkey
Unicommerce
WordPress
Zendesk

Integrations Supported

Microsoft Fabric

API Availability

Has API

API Availability

Pricing Information

$99 per month
What's included:

Single data agent

All SQL data sources

Basic AI models

Static embeddings

Email support

Unlimited dashboards
Free Trial Offered?

Pricing Information

$10,000
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Supaboard

Date Founded

2023

Company Location

India

Company Website

supaboard.ai/

Company Facts

Organization Name

Kanerika

Date Founded

2015

Company Location

United States

Company Website

kanerika.com

Categories and Features

AI Data Analytics

Not specified

Dashboard

Data Source Integrations
KPIs
Private Dashboards
Visual Analytics

Categories and Features

AI Data Analytics

Not specified

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