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StackAI

StackAI

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StackAI is a no-code AI agent and workflow platform with a free plan that includes 500 runs per month, two projects and one seat.

FreeAi Automation And No Code Toolsstackaino code llm platformfree 500 runs
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โ“ช Overview
โŠž Alternatives
โœฆ Features
โš– Pros & Cons
โ—Ž Use Cases
โš‰ Who's it for
โ“ FAQs
โœฆ Reviews
โ„น๏ธTool Info
๐Ÿ’ณ PRICING
Free
โ€ขFree: $0 free plan with 500 runs per month, 2 projects & 1 user seat
โ€ขBasic: $0 free plan
โ€ขPro/Advanced: Team plan at $199/month (~โ‚น16,500/mo) for 10,000 runs/month & multi-user seats
โ€ขEnterprise: Custom enterprise licensing
๐ŸŒ INDIA SUPPORT
IN Yes (100% accessible in India via standard web browsers without any network restrictions.)
๐Ÿ•’ LAST UPDATED
25 Aug 2026
๐Ÿ’กWhat is StackAI?

StackAI is an enterprise-grade no-code AI workflow and agent platform designed to build, test, and deploy RAG applications, internal AI tools, and autonomous agent systems. Built for enterprise teams, startups, and data analysts, StackAI connects LLMs, vector databases, document parsers, and external APIs into visual node graphs. Featuring a free plan that provides 500 monthly runs, 2 active projects, and 1 seat without requiring credit cards, StackAI simplifies converting complex enterprise data into production-ready AI applications.

โšกStackAI's key features
โœ“Enterprise visual node builder orchestrating LLM workflows, RAG, and APIs
โœ“500 free monthly runs, 2 projects, and 1 user seat on the $0 entry tier
โœ“Native vector database integrations connecting Pinecone, Weaviate, and Qdrant
โœ“Document processing engine extracting structured text from PDFs, Word docs, and tables
โœ“Multi-LLM router switching between OpenAI, Anthropic Claude, and open-source models
โœ“Instant API deployment generating secure REST endpoints and web chat widgets
โœ“Built-in analytics dashboard tracking execution latency, cost per run, and token usage
โœ“Enterprise security architecture with SOC2 compliance, data encryption, and privacy
โœ“Visual prompt canvas with version control and side-by-side output evaluation
โœ“Custom API node making HTTP calls to external CRMs, databases, and webhooks
๐ŸŽฏUse Cases
โ†’Building secure internal knowledge assistants that query corporate SharePoint docs
โ†’Deploying custom AI document extraction tools that parse invoice and contract PDFs
โ†’Creating lead qualification AI bots that research prospective leads and update CRMs
โ†’Building backend AI processing pipelines deployed as REST APIs for SaaS products
โ†’Automating customer support email classification and draft answer generation
โš–๏ธPros & Cons
โœ… PROS
  • Enterprise-grade architecture built specifically for secure B2B data workflows
  • Free plan tier allows building 2 full AI projects with 500 monthly runs without cards
  • Instantly deploys visual LLM graphs as REST API endpoints or web chat widgets
  • Integrated document processing handles complex multi-page PDFs and table data
  • Includes detailed analytics monitoring token costs, execution latency, and errors
โŒ CONS
  • 500 free monthly runs are consumed quickly during heavy development and testing
  • High-capacity multi-user enterprise collaboration requires paid team plans
  • Designing complex multi-step RAG pipelines requires understanding embedding concepts
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๐Ÿ‘ฅWho Is It For?
โ€ขEnterprise teams
โ€ขData analysts
โ€ขDevelopers
โ€ขFounders
โ€ขSaaS startups
โ€ขOperations managers
โ€ขConsultants
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