Gali

What is Gali AI?

Gali AI is a code-free AI chatbot platform designed for corporate websites and products. Users can train these assistants using web pages, documents, and custom prompts, so that they can answer questions based on business-related information.

It consolidates knowledge integration, appearance customization, testing, deployment, and conversation analysis in a single backend. Typical uses include online customer service, lead generation, internal knowledge retrieval, and AI assistants within products.

The main functions of Gali AI

Train the assistant using proprietary data.

• It supports importing website content via sitemaps, web page scraping, or single-page addresses.
• It supports uploading TXT, Markdown, PDF, DOC, PPT, and HTML documents; the maximum size for a single file is as indicated in the system notifications.
• After the data is updated, the chatbot can be retrained so that its responses are in line with the latest information.

Custom response methods and interfaces

• It is possible to set the assistant’s identity, response rules, tone of voice, and the approach to take when a question cannot be answered.
• It is possible to adjust the display name, icon, bubble color, message color, greeting text, and suggested questions.
• Multilingual responses are supported; the actual languages available depend on the capabilities of the selected model.

Customer service and lead generation capabilities

• It is possible to collect potential customer information such as names, email addresses, and phone numbers during conversations.
• It can detect the user’s intention to switch to a human agent, collect contact information via a form, and send a summary of the conversation.
• The backend provides chat records and analysis of common issues, which helps to optimize materials, prompts, and product content.

Release and business integration

• It can be added to a website as a floating chat component or an embedded area.
• It is compatible with custom HTML, as well as website building platforms such as WordPress, Webflow, Wix, Squarespace, and Bubble.
• The premium packages include APIs, function calls, and third-party integration capabilities, allowing connections to business processes such as Zapier, Slack, and WhatsApp.

Which users are it suitable for

• Customer service team: Automatically handles repeated inquiries, reserving human support for complex issues.
• Sales and Growth Team: Answers product-related questions and collects information on potential customers at the appropriate time.
• Product team: Introduce AI assistants based on corporate data into websites or applications.
• Internal operations team: Organizes systems, processes, and product documentation into accessible knowledge resources.
• Small and medium-sized enterprises: They can launch chatbots quickly without having to build their own infrastructure for search and modeling.

Gali AI price

The following are the official prices listed on the website as of August 28, 2026. The monthly subscription is renewed every 30 days, while the annual subscription is renewed every 360 days; the prices stated do not include any possible value-added tax.

The official website also shows the planned price for exceeding the message quota, but this feature is indicated as being available in the near future. The contents of the packages, taxes, and the currency used for settlement may change; it is necessary to refer to the account settlement page before making a purchase.

How to use Gali AI

1. Register and log in to the backend to create a new chatbot.
2. Enter the internal name, and select the model, data retrieval mode, and message quota policy.
3. Write clear prompt instructions that specify the assistant’s identity, the scope of its responses, the tone to be used, and how to connect with a human agent.
4. Import a website page or upload business documents, and then proceed with training.
5. Set the name, color, icon, greeting message, and suggested questions for the chat window.
6. Realistic questions are posed in the testing area to check the accuracy of responses, and the materials and prompts are improved iteratively.
7. Copy the component or embedded code, publish the assistant on the website, and keep checking the chat history.

Usage suggestions

• The information should be as complete as possible, with repetition minimized, to avoid conflicting answers to the same question in different documents.
• In customer service scenarios, the model’s temperature can be kept at a low level to reduce randomness.
• The prompts should be concise and clear, and it is specified that no fabrications should be made when information is missing.
• Before going live, common issues, edge cases, sensitive problems, and the manual transfer process should be tested.
• Remember to retrain after each change to the data; otherwise, the new information will not be included in the basis for responses.

Product advantages

• Training, configuration, testing, and website integration can be carried out without any programming.
• It supports web scraping as well as various document formats, making it suitable for teams that already have content assets.
• It also covers customer service automation, lead collection, manual transfer, and conversation analysis.
• Free trial versions are provided to enable users to assess the quality of responses and the deployment process before making a purchase.
• Advanced packages can be integrated into business systems through APIs, function calls, and automation tools.

Usage restrictions and precautions

• AI responses may still omit information or contain errors; manual review should be carried out for matters related to commitments, quotes, and compliance requirements.
• Different models and extended retrieval patterns consume varying amounts of messages, with more complex models having a higher cost per operation.
• The free tier offers a limited number of messages, making it more suitable for proof of concept rather than formal customer service.
• The API and key integration features are available in the higher-tier packages; it is necessary to determine the actual business requirements before making a purchase.
• As of the verification date, it has not been confirmed that the platform itself uses an open-source license; Gali AI should be regarded as a hosted commercial service, rather than an open-source project that can be deployed independently.

Frequently Asked Questions

Can Gali AI be used for free?

Yes. The Test package includes 1 chatbot and a quota of 30 messages per month; it is suitable for testing the processes of data import, training, and website deployment.

What data sources does Gali AI support?

It supports sitemaps, web page scraping, single-page import, as well as various common document formats. The chatbot needs to be retrained after the data is updated.

Is it possible to deploy it without knowing how to program?

Yes. Users mainly carry out the settings through the visual backend; when publishing, they simply need to copy the components or embedded code provided by the official source.

Does Gali AI provide APIs?

Available. The official website lists APIs, function calls, and various third-party integrations as part of the capabilities of the Startup and Scaleup packages; the specific permissions depend on the settings in the account dashboard.

Is Gali AI an open-source tool?

It is not a recognized open-source platform. Public information indicates that it primarily offers hosting services, and the presence of APIs or integration features does not mean it is an open-source project.