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Datagran

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About

Datagran is a no-code/low-code platform that helps businesses build and deploy data applications quickly. It integrates with various data sources, enabling users to create data models, visualize data, and automate workflows. The platform features AI bots for natural language querying of data, custom alerts, and app development capabilities. It's designed for both technical and non-technical users, providing flexibility and cost reduction by streamlining data processes. Datagran offers a free plan and several paid plans with varying features and usage limits.

Platform
Web
Task
data automation

Features

alerts

ai bots

apps

destinations

visualize data

data models

integrate data from multiple sources

Pricing Plans

Free
Free Plan

Unlimited Members

20 Data Units / month

Unlimited Integrations

Unlimited Pipelines

Unlimited Charts

Unlimited Templates

2k Rest API

5 Blocks

50 Chatbot Questions

1 Chatbot User

Individual
$20.00 / per month

1 Member

50 Data Units / month

5 Integrations

Pipelines

Charts

Templates

10k Rest API

Unlimited Blocks

Custom Chatbot Questions

Custom Chatbot Users

Team
$50.00 / per month

12345678910 Members

100 Data Units / month

Unlimited Integrations

Pipelines

Charts

Templates

20k Rest API

Unlimited Blocks

Custom Chatbot Questions

Custom Chatbot Users

Enterprise
Unknown Price

Custom Members

Custom Data Units / month

Custom Integrations

Pipelines

Charts

Templates

Custom Rest API

Unlimited Blocks

Custom Chatbot Questions

Custom Chatbot Users

Job Opportunities

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Datagran

Chief Artificial Intelligence Officer

Datagran: Build AI-powered data apps in seconds. No-code/low-code platform for data integration, visualization, and automation.

scienceonsiteNew York, USfull-time

Education Requirements:

  • A U.S. Bachelor’s Degree or a Foreign Equivalent Degree in Computer Engineering

Experience Requirements:

  • 5+ years of progressive, post-baccalaureate experience in Management and Software Development

Responsibilities:

  • Responsible for identifying opportunities to improve the product and customer experience across machine learning based solutions

  • Building and designing the architecture of the products

  • Managing a team of developers and data scientists to solve the customer problems and building the product providing strategic and tactical insights based on the technological developments

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