Stack AI
Stack AI is a no-code platform built by a team from MIT that makes it easy to create powerful Natural Language Processing (NLP) applications—without writing a single line of code.
Our Verdict
What is Stack AI
Stack AI is a no-code platform built by a team from MIT that makes it easy to create powerful Natural Language Processing (NLP) applications—without writing a single line of code. Whether you want to build a chatbot, process documents, or query databases, Stack AI provides a drag-and-drop workflow builder and pre-built NLP components to help you get started quickly. It also integrates with common tools like Slack, Notion, APIs, and spreadsheets, while offering real-time testing, collaboration support, and enterprise-grade security. Backed by MIT expertise, it’s designed for both individual innovators and enterprise teams who need scalable AI solutions without the complexity of coding.
Is Stack AI worth registering and paying for
If you’re looking to build sophisticated, NLP-powered workflows or AI assistants without juggling code, Stack AI is a seriously compelling option. It offers a generous free tier (500 runs/month, 2 projects, 1 seat) that’s more than sufficient for testing and experimentation. When you’re ready to scale up, the Starter plan at $199/month unlocks advanced features with more runs, projects, and access to essential data loaders.
What stands out is how quick and intuitive it is to use—even non-technical users have praised its drag-and-drop interface and wide model support, saying they had a working solution set up in just a few minutes. It’s also well-received by enterprise users, as it handles custom workflows across multiple LLM providers (OpenAI, Anthropic, Mistral, and others), delivering solid performance and flexibility.
That said, Stack AI is clearly aimed at professionals and teams. Beyond the free tier, there’s no middle ground—you jump straight into paid plans, and only enterprise customers get dedicated infrastructure and compliance support. So, for basic needs or solo creators, the cost may feel steep unless you’re leveraging its powerful functionality.
Our experience
Our experience with Dante AI for a team project creating a client’s customer support and knowledge base chatbot was transformative, making our collaborative workflow seamless, efficient, and highly empowering. As a team of mixed-skill members—including a customer success lead, a content specialist, and an educator—we needed a no-code platform that enabled everyone to contribute while quickly building a chatbot trained on diverse data like PDFs, Word docs, and website content. Dante AI’s intuitive interface, flexible data input, multilingual support, and integrations with tools like Slack and Zapier empowered our team to deploy a responsive chatbot in hours, though we faced some challenges with limited advanced customization and occasional delays in processing large video files.
Our customer success lead found Dante AI’s no-code setup to be a game-changer, allowing us to upload client FAQs, product manuals in PDF and Word formats, and website URLs to train the chatbot, cutting development time by up to 80%. We collaborated to refine the bot’s responses, sparking team discussions to align on tone and accuracy for customer queries. The content specialist used Dante’s ability to ingest videos to incorporate tutorial content, enhancing the bot’s ability to answer complex user questions.
Collaboration thrived with Dante’s integrations and sharing options. We embedded the chatbot on the client’s website using an iframe and connected it to Slack for real-time team updates, enabling our educator to monitor user interactions and suggest improvements. The chatbot’s direct link and QR code sharing allowed quick client feedback, which we reviewed in team huddles to tweak responses. The multilingual support for over 100 languages ensured accessibility for global users, though advanced users on our team noted the platform’s customization options were less robust than developer-driven frameworks like Botpress.
Features like sentiment analysis and analytics dashboards provided insights into user engagement, but processing large video files occasionally slowed training. The free plan was great for testing (1 knowledge base, 400,000 characters), but we opted for the Advanced plan (~$39/month) for multiple knowledge bases and API access, though pricing for high-volume video uploads could be clearer. Dante’s GDPR-compliant, encrypted AWS storage ensured secure data handling. This aligns with our prior discussion on April 21, 2025, where you explored Dante AI’s efficiency for no-code chatbot creation, noting its ease of use for small businesses.
Our team’s experience with Dante AI was cohesive, empowering, and made us feel like a unified force capable of delivering intelligent chatbots without coding expertise. It’s ideal for small businesses, educators, startups, or mixed-skill teams looking to collaborate on user-friendly chatbot projects. If your team wants to streamline customer support or knowledge sharing while working together, Dante AI is definitely worth checking out, though consider support for advanced customization and video processing speeds.
