Stack AI

What is Stack AI?

Stack AI is a no-code tool designed for the rapid creation of customized applications. It allows teams to efficiently build and deploy custom Large Language Models like ChatGPT into their products or services. With Stack AI, users can create various applications such as chatbots, document processing tools, database question answering systems, and content creation apps. The platform offers a user-friendly interface for connecting Large Language Models with vector databases, tools, and data loaders, enabling seamless integration for developers. Additionally, Stack AI provides templates for common workflows, facilitating the quick initiation of projects without the need for coding. Notably, the tool emphasizes data security and is trusted by leading companies like JustPaid, Smartasset, and Yummy. It is backed by prominent investors such as Soma Capital and Y Combinator, delivering AI workflows as APIs for easy integration into different environments. Stack AI supports data loading from various sources including files, websites, and databases, and offers extensive integration capabilities with various APIs. The platform enables fine-tuning jobs to create optimal Large Language Models tailored to specific product requirements.

Who created Stack AI?

Stack AI was founded by a team backed by well-known visionaries and investment entities like Soma Capital and Y Combinator. The platform was launched on July 19, 2024, with a focus on creating bespoke apps rapidly using custom Large Language Models like ChatGPT, providing efficient deployment and connection capabilities for developers. The company ensures data security, quick API delivery, and supports various data loading sources and API integrations, making it trusted by leading companies such as JustPaid, Smartasset, and Yummy.

What is Stack AI used for?

• Content creation
• Chatbots
• Customer support automation
• Workflow automation
• Automated customer support
• Chatbots creation
• Document processing applications
• Database question answering applications
• Content creation applications
• Automating customer support tasks
• Extracting insights from documents
• Quick creation of AI applications
• Automating sales leads qualification
• Automating data library searches
• Creation of chatbots for interacting with users
• Document Processing
• Creating AI workflows as APIs
• Quick creation and deployment of AI applications
• Sales leads qualification automation
• Extensive data library searches automation
• Document insights extraction
• AI application creation
• Database question answering
• Sales leads qualification
• Extensive data library searches
• Automated data extraction from documents
• Insights extraction from documents
• Quick and efficient application creation
• Automated tasks such as customer support
• AI applications creation via drag and drop
• Connection of Large Language Models with vector databases
• Rapid iteration and fine-tuning of Large Language Models
• AI workflows delivery as APIs
• Automating extensive data library searches
• Summarizing documents and answering questions

Who is Stack AI for?

• Developers
• Customer support personnel
• Document processing professionals
• Sales leads qualification specialists
• Data scientists
• Customer Support Specialists
• Sales professionals
• Data Analysts
• Document processors
• Team Managers
• Customer support teams
• Document Processing Staff
• Sales teams
• Customer support professionals
• Sales Leads Qualification Professionals
• Data Library Searchers
• Content creators
• Anyone in need of automating tasks
• Sales lead qualifiers

How to use Stack AI?

To use Stack AI, follow these steps:

1. Sign Up: Create an account on Stack AI.
2. Explore Templates: Utilize the diverse templates available for common workflows such as chatbots and document processing.
3. Connect LLMs: Seamlessly connect Large Language Models with databases and tools using the intuitive graphical interface.
4. Create Applications: Construct AI applications by dragging, dropping, and connecting components.
5. Fine-Tune Models: Experiment with prompts and LLM architectures for rapid iteration and fine-tuning.
6. Data Integration: Load data from various sources like files, websites, and databases.
7. API Integration: Easily integrate with different APIs for extensive connectivity.
8. Ensuring Security: Stack AI prioritizes data security to handle and store data securely.
9. Get Support: Engage with dedicated support through Discord, email, or the Slack channel.
10. Customization and Deployment: Customize applications based on specific product needs, and deploy without code.

By following these steps, users can leverage Stack AI for efficient and rapid creation of bespoke apps, integration of Large Language Models, and seamless workflow automation .