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DataLang

DataLang

Chatbots that bridge your data gaps

Build smart chatbots using your databases and files to streamline customer interaction and data management.
#91 in "Business
Price: Free + Paid

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Overview
Use cases
Features and Use Cases
Users & Stats
Pricing
FAQ
Pricing & discounts
UX/UI review
Video review
Reviews
Youtube reviews
Team
Founder interview
Funding
Overview
Use cases
Features and Use Cases
Users & Stats
Pricing
FAQ
Pricing & discounts
UX/UI review
Video review
Reviews
Youtube reviews
Team
Founder interview
Funding

Overview

DataLang, crafted by Alexandro Martinez, a veteran in SaaS development, offers an innovative platform for creating custom chatbots that can interact directly with your data sources. This tool stands out by allowing users to connect their chatbots to a variety of databases, files, websites, and platforms like Notion and Google Sheets. The configuration process is user-friendly, enabling even those without a technical background to build and deploy interactive assistants efficiently.

The platform supports deployment on websites, through public URLs, or even directly to the ChatGPT Store, catering to a wide range of business and personal needs. DataLang offers a free trial to get users started, followed by tiered pricing plans that range from $19 to $399 per month, ensuring solutions are accessible for startups and large enterprises alike.

With DataLang, users can enhance customer interaction, streamline data handling, and improve accessibility to information through automated, intelligent chatbots. The platform’s use of GPT-4 technology ensures that the chatbots are not only functional but also capable of engaging in meaningful conversations, making complex data interactions simpler and more user-friendly.

Use cases

  • Automated Customer Interaction: DataLang is adept at enhancing customer service on websites and other online platforms. By linking with data sources such as CRM systems or inventory databases, it allows chatbots to deliver quick and accurate responses to customer questions, boosting both efficiency and client satisfaction.
  • Information Retrieval and Analysis: Companies can leverage DataLang to develop chatbots capable of executing sophisticated data searches across different databases like SQL or cloud services such as Google Sheets. This feature is invaluable for generating instant analytics and reports, aiding teams in swift decision-making.
  • Educational Resources and Training Modules: Educational bodies and training programs can implement DataLang chatbots to offer students interactive educational experiences. These bots can access a vast range of educational materials to respond to student inquiries, support learning processes, and provide tailored feedback.
  • E-commerce Enhancements: E-commerce platforms can improve the shopping experience by integrating DataLang chatbots. These bots can interact with product databases to offer suggestions, updates on availability, and detailed product insights, making the shopping process more efficient and user-friendly.

FAQ

DataLang enables users to build chatbots leveraging data from various databases, files, and online sources.

The platform was developed by Alexandro Martinez, a seasoned developer known for multiple SaaS projects.

DataLang’s major functionalities include multiple data source integration, straightforward chatbot setup, and flexible deployment options.

DataLang has four pricing levels: Trial (free), Starter ($19/month), Pro ($49/month), and Business ($399/month).

Yes, DataLang provides a free trial with limited access to its features for evaluation purposes.

Businesses use DataLang for automating customer support, simplifying data analysis for reporting, and improving e-commerce engagement.

To get started, visit datalang.io/pricing to register and choose a subscription plan.

Pricing & discounts

DataLang presents a diverse array of subscription options designed to accommodate the needs of users ranging from solo practitioners to substantial enterprises. Each package is crafted to offer adaptability and expandability, enabling users to select the most appropriate choice tailored to their unique needs.

Trial
Free


Includes
  • 1 User
  • 1 Data Source
  • 1 Data View
  • 10 Credits
  • Chatbot Widget
  • Premium Data Sources
Starter
$19per Month


Includes
  • 1 User
  • 1 Data Source
  • 10 Data Views
  • 500 Credits
  • Chatbot Widget
  • Premium Data Sources
Pro
$49per Month


Includes
  • 5 Users
  • 10 Data Sources
  • 50 Data Views
  • 2,000 Credits
  • Basic support
  • Chatbot Widget
  • Premium Data Sources
Business
$399per Month


Includes
  • 10 Users
  • 50 Data Sources
  • 1,000 Data Views
  • 10,000 Credits
  • Priority support
  • Chatbot Widget
  • Premium Data Sources
Self-hostedStarting at
$20,000per Year


Includes
  • Unlimited Users
  • Unlimited Data Sources
  • Unlimited Data Views
  • Unlimited Credits
  • Account manager
  • Yearly updates
  • Use your own OpenAI key

These plans are designed to cater to a range of use cases, from simple chatbot creation for personal projects to comprehensive solutions for large-scale enterprise needs.

User Reviews

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Team

Alexandro Martinez, the driving force behind DataLang, has established himself as a prolific figure in the SaaS industry. With a strong entrepreneurial spirit, Martinez has successfully launched several platforms prior to DataLang, including saasrock.com, earlybee.io, indexer.so, and datalang.io. Each of these ventures showcases his commitment to enhancing technological solutions for businesses and individual users alike.

At DataLang, Martinez’s role extends beyond just Founder and Developer. He actively leads the strategic direction of the company, focusing on simplifying the integration of data sources with AI-powered chatbot technology. His experience in the field enables him to oversee the development of a tool that is not only advanced in its capabilities but also intuitive for users without technical expertise.

Under his guidance, DataLang has evolved into a tool that allows users to efficiently create chatbots that can pull information from a variety of data sources like databases, files, and web services. This versatility is a direct reflection of Martinez’s vision to bridge the gap between complex data management and practical, user-friendly applications. His leadership continues to be a key asset in navigating the competitive landscape of AI and chatbot technologies.

person

Alexandro Martinez

Founder & Developer

Markus Ivakha

Published by: Markus Ivakha

21 July 2024, 08:51AM

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