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Stack AI

Freemium
llmlow-codeai workflowapplication builderragapiagentgenerative aideveloper toolno-code

A low-code platform for rapidly building and deploying an AI workforce of Language Models, tools, and data sources, allowing teams to create, test, and release production-grade AI applications and agents.

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Stack AI is a visual development platform designed to streamline the creation and deployment of applications powered by large language models (LLMs). It primarily serves developers, product managers, and enterprises seeking to leverage AI without building the underlying infrastructure from scratch. Users can visually chain together different LLMs, vector databases, data loaders, and business logic using a node-based editor to construct complex workflows. Its unique value proposition lies in abstracting away the MLOps complexity, offering one-click API deployment for created applications. This enables rapid prototyping and productionalization of AI-powered features like chatbots, document analysis tools, and autonomous agents.

Pros

  • Intuitive drag-and-drop visual interface for building complex AI workflows without deep coding expertise.
  • One-click deployment of applications as production-ready REST API endpoints.
  • Supports multiple leading LLMs, including OpenAI, Anthropic, Cohere, and Google models.
  • Built-in logging, monitoring, and versioning for managing applications in production.
  • Strong support for Retrieval-Augmented Generation (RAG) with diverse data loaders.

Cons

  • The starting price for paid plans is high, creating a significant cost barrier for individuals and small teams.
  • Less flexible than pure-code frameworks like LangChain for highly customized or niche use cases.
  • Building complex logic can become visually cluttered in the node editor.
  • As a platform-as-a-service, it introduces a level of vendor lock-in for the created workflows.

Key features

  • Visual workflow builder with a node-based interface
  • Instant deployment to a managed API endpoint
  • Support for multiple proprietary and open-source LLMs
  • Data loaders for files (PDF, DOCX), websites, Notion, and APIs
  • Integration with vector stores like Pinecone, Weaviate, and Chroma
  • Built-in logging, analytics, and version history
  • Collaboration features for team projects
  • Ability to build and deploy autonomous AI agents

Integrations

OpenAIAnthropicGoogle (Gemini)CohereHugging FacePineconeWeaviateNotionGoogle DriveZapier

Target audience

Developers, data scientists, product managers, and enterprise teams looking to rapidly prototype, build, and deploy production-grade LLM-powered applications and agents.

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Key Metrics

Founded

2023

Headquarters

San Francisco, USA

Pricing Tiers

Free

For individuals and testing. Includes 1 seat, 2 projects, 2,000 messages/month, and community support.

Free

Pro

For startups and small teams. Includes 5 seats, unlimited projects, 20,000 messages/month, version history, and standard support.

$499/mo

Organization

For large teams and enterprises. Includes custom seats and message limits, SSO, advanced security features, on-premise options, and priority support.

Custom

Frequently Asked Questions

Top Alternatives to Stack AI

LangChain

An open-source Python/JS framework offering maximum control and flexibility for developers who prefer a code-first approach to building LLM applications.

FlowiseAI

An open-source visual tool for building LangChain flows, offering a similar drag-and-drop experience but requiring self-hosting and more technical setup.

Voiceflow

A collaborative platform focused specifically on designing, prototyping, and launching conversational AI agents for chat and voice channels.

Bubble

A comprehensive no-code platform for building complete web applications, which can integrate AI, whereas Stack AI focuses specifically on the AI/LLM backend logic.

Ready to get started?

Join thousands of users and see how Stack AI can transform your workflow today.

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