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.

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◎ Use Cases

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ℹ️Tool Info

💳 PRICING

Free

•Free: $0 free plan with 500 runs per month, 2 projects & 1 user seat

•Basic: $0 free plan

•Pro/Advanced: Team plan at $199/month (~₹16,500/mo) for 10,000 runs/month & multi-user seats

•Enterprise: Custom enterprise licensing

🌐 INDIA SUPPORT

Yes (100% accessible in India via standard web browsers without any network restrictions.)

🕒 LAST UPDATED

25 Aug 2026

💡What 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.

⚡StackAI's key features

✓Enterprise visual node builder orchestrating LLM workflows, RAG, and APIs

✓500 free monthly runs, 2 projects, and 1 user seat on the $0 entry tier

✓Native vector database integrations connecting Pinecone, Weaviate, and Qdrant

✓Document processing engine extracting structured text from PDFs, Word docs, and tables

✓Multi-LLM router switching between OpenAI, Anthropic Claude, and open-source models

✓Instant API deployment generating secure REST endpoints and web chat widgets

✓Built-in analytics dashboard tracking execution latency, cost per run, and token usage

✓Enterprise security architecture with SOC2 compliance, data encryption, and privacy

✓Visual prompt canvas with version control and side-by-side output evaluation

✓Custom API node making HTTP calls to external CRMs, databases, and webhooks

🎯Use Cases

→ Building secure internal knowledge assistants that query corporate SharePoint docs

→ Deploying custom AI document extraction tools that parse invoice and contract PDFs

→ Creating lead qualification AI bots that research prospective leads and update CRMs

→ Building backend AI processing pipelines deployed as REST APIs for SaaS products

→ Automating customer support email classification and draft answer generation

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⚖️Pros & Cons

✅ 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

❌ 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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