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Stack AI

Stack AI

The enterprise AI platform for building, deploying, and governing intelligent applications at scale.

Stack AI Overview

Stack AI provides infrastructure for deploying AI agents through a visual, drag-and-drop interface that requires no coding. The platform combines design tools with enterprise-grade governance, compliance features, and integrations across 100+ business systems. It enables teams to build AI agents that extract structured data from unstructured sources, retrieve cited answers from knowledge bases, and generate documents1 while maintaining strict security controls, role-based access management, and audit readiness. Deployments connect to Slack, Microsoft Teams, web interfaces, or APIs, with options for self-hosted infrastructure on dedicated servers or VPCs.

Stack AI Features

Drag-and-drop visual workflow builder with pre-built and customizable templates One-click Retrieval-Augmented Generation (RAG) pipelines for knowledge base integration 100+ native integrations including SharePoint, Workday, Salesforce, and internal APIs Customizable user interfaces: chatbots, forms, batch processors, and embedded widgets Built-in Optical Character Recognition for extracting structured data from PDFs and scans Python nodes and custom REST API tools for advanced logic and integrations SOC2, HIPAA, and GDPR compliance with ISO 27001 certification in progress Real-time PII detection and redaction Role-Based Access Control (RBAC) with SSO integration via Okta and Entra ID Automatic input/output logging, token usage tracking, and performance monitoring Self-hosted deployment options within your own infrastructure or VPC Support for multiple LLM providers and internal APIs Admin approval workflows and knowledge base/LLM controls for sensitive processes

Use Cases:

  • Document intelligence: Summarize, extract, and generate stakeholder‑ready documents.
  • Knowledge retrieval: Instant answers from a corporate knowledge base.
  • IT support automation: Create AI ticket triage and help desk workflows.
  • CRM/enrichment tasks: Extract and enrich customer data.
  • Proposal/RFP drafting: Accelerate writing with semantic agent workflows.

Pros & Cons

Pros:

Clean visual drag‑and‑drop editor.

Manages complex, multi‑step workflows well.

100+ connectors to enterprise data sources.

Supports many LLMs, avoids vendor lock‑in.

Can “stack” smaller flows into master flow.

Cons:

Sometimes slow or delayed after actions.​

Limited mid‑tier pricing, jumps to enterprise.​

RBAC and audit features not very deep.​

Company

Stack AI

Contact

Email

Headquarter

San Francisco, USA

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*Price last updated on Feb 7, 2026. Visit stack-ai.com's pricing page for the latest pricing.

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