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AI Agents & Autonomous Workflows🟡Low Code🏆Editor's Choice
S

Stack AI

Visual builder for enterprise AI agents and workflows, with on-prem deployment and SOC2 compliance.

Starting atFree
Visit Stack AI →
💡

In Plain English

Visual builder for enterprise AI agents and workflows, with on-prem deployment and SOC2 compliance.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQSecurityAlternatives

Overview

Stack AI is a visual workflow and agent builder aimed at enterprises that need to ship AI applications under compliance constraints. The drag-and-drop canvas lets users compose LLM calls, retrieval steps, document parsers, web scrapers, code blocks, and integrations (Snowflake, SharePoint, Google Drive, Slack, ServiceNow) into deployable workflows. Built workflows can be published as chat interfaces, REST APIs, Slack/Teams bots, or scheduled jobs.

🦞

Using with OpenClaw

▼

Integrate Stack AI agents via REST API endpoints. OpenClaw can trigger Stack AI workflows, retrieve results, and combine Stack AI's enterprise document processing with OpenClaw's persistent memory and multi-channel presence.

Use Case Example:

Combine Stack AI's enterprise-grade document processing and compliance capabilities with OpenClaw's orchestration for comprehensive business automation solutions.

Learn about OpenClaw →
🎨

Vibe Coding Friendly?

▼
Difficulty:beginner
No-Code Friendly ✨

Fully managed enterprise platform with visual drag-and-drop interface requiring no coding skills for standard workflows. Python/JavaScript blocks available for advanced customization.

Learn about Vibe Coding →

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Editorial Review

Stack AI leads enterprise AI agent adoption in 2026 with comprehensive compliance certifications (SOC 2, HIPAA, GDPR, ISO 27001) and proven ROI results including million-dollar savings. Their visual no-code platform democratizes AI development while maintaining enterprise security standards, though the pricing gap between free and enterprise tiers limits access for growing teams.

Key Features

Visual Agent Development Platform+

Drag-and-drop interface with 500+ pre-built blocks for AI operations, document processing, integrations, and business logic. Supports multi-model workflows using OpenAI, Anthropic, Google, and Cohere providers simultaneously. Real-time testing and debugging within the visual editor with execution monitoring and error handling.

Use Case:

Financial services team builds loan document processing agent that extracts applicant information, verifies documentation completeness, performs risk assessment using multiple AI models, and routes applications to appropriate underwriters—all without writing code.

Enterprise Compliance Framework+

Comprehensive security certifications including SOC 2 Type II, HIPAA, GDPR, and ISO 27001. AES-256 encryption at rest and in transit with TLS 1.3. Dedicated infrastructure through Azure OpenAI and AWS Bedrock. Customizable data retention policies and explicit guarantees that customer data is never used for AI model training.

Use Case:

Healthcare organization processes patient intake forms, medical records, and insurance documents with full HIPAA compliance, automated PII detection and protection, and audit trails for regulatory review.

Knowledge Base and RAG Integration+

Automatic document processing, chunking, and embedding for retrieval-augmented generation. Supports PDF, Word, PowerPoint, CSV, and email formats. Vector database storage with semantic search capabilities. Knowledge base versioning and access controls for different user groups.

Use Case:

Legal firm uploads thousands of case documents, contracts, and legal precedents that are automatically processed and indexed. AI agents provide contextually accurate legal research responses grounded in the firm's specific document collection.

Multi-Channel Deployment Options+

Deploy agents as REST APIs, Slack bots, Chrome extensions, browser extensions, embedded widgets, or standalone web applications. Built-in analytics and monitoring for all deployment channels. Custom domain support and white-label options for enterprise branding.

Use Case:

Customer service team deploys the same AI agent across multiple channels: Slack bot for internal queries, Chrome extension for support agents, embedded widget on website, and REST API for mobile app integration.

Enterprise Integration Ecosystem+

100+ pre-built integrations including Salesforce, HubSpot, Google Workspace, Microsoft 365, Notion, Slack, PostgreSQL, and cloud storage platforms. Real-time data synchronization with webhook support. Custom API connectors for proprietary systems.

Use Case:

Sales operations team creates lead qualification agent that pulls data from HubSpot, enriches with web research, performs competitive analysis, updates CRM records, and sends personalized follow-up emails through integrated email platforms.

Advanced Deployment and Infrastructure+

On-premise deployment, Virtual Private Cloud (VPC) configurations, and multi-tenant isolation. Single Sign-On (SSO) integration with SAML protocol. Role-based access controls with granular permissions. Dedicated infrastructure with SLA guarantees for enterprise clients.

Use Case:

Government agency deploys Stack AI on their secure network infrastructure with SSO integration, processes classified documents with appropriate clearance controls, and maintains complete data sovereignty while leveraging AI capabilities.

Pricing Plans

Free Trial

$0

    Professional

    Starting around $499/mo

      Enterprise

      Custom

        See Full Pricing →Free vs Paid →Is it worth it? →

        Ready to get started with Stack AI?

        View Pricing Options →

        Getting Started with Stack AI

        1. 1Sign up for free account at stackai.com with no credit card required.
        2. 2Complete the interactive tutorial to understand the visual workflow builder and available blocks.
        3. 3Upload sample documents to create your first knowledge base for RAG-powered responses.
        4. 4Build your first agent using the templates library (customer service, document processing, or data extraction).
        5. 5Test your agent thoroughly using the built-in testing environment before deploying.
        6. 6Deploy your agent as a Slack bot, Chrome extension, or REST API to begin production usage.
        7. 7Monitor agent performance using built-in analytics and iterate based on user feedback.
        Ready to start? Try Stack AI →

        Best Use Cases

        🎯

        Enterprise customer-support copilots over internal docs

        ⚡

        Document extraction agents for regulated industries

        🔧

        Internal HR/IT helpdesk automation

        🚀

        Financial analysis copilots with compliance requirements

        Integration Ecosystem

        45 integrations

        Stack AI works with these platforms and services:

        🧠 LLM Providers
        OpenAIAnthropicGoogleCohereazure-openaiaws-bedrock
        📊 Vector Databases
        PineconeWeaviateChroma
        ☁️ Cloud Platforms
        AWSAzuregoogle-cloud
        💬 Communication
        Slackmicrosoft-teamsEmailsms
        📇 CRM
        SalesforceHubSpotPipedrivezendesk
        🗄️ Databases
        postgresqlMySQLSupabaseMongoDB
        🔐 Auth & Identity
        ssosamloauth2active-directory
        📈 Monitoring
        Datadognew-relicprometheus
        🌐 Browsers
        chrome-extensionbrowser-extension
        💾 Storage
        aws-s3google-drivemicrosoft-365dropbox
        ⚡ Code Execution
        pythonjavascriptcustom-apis
        🔗 Other
        ZapierNotionairtableJiraconfluence
        View full Integration Matrix →

        Limitations & What It Can't Do

        We believe in transparent reviews. Here's what Stack AI doesn't handle well:

        • ⚠No self-serve mid-tier pricing between free (500 runs) and enterprise custom pricing, creating a significant cost gap for growing teams
        • ⚠Complex conditional logic and branching workflows can become visually cluttered in the drag-and-drop interface compared to code-based solutions
        • ⚠Limited custom block development—extensions require Python/JavaScript code blocks rather than creating reusable custom block types
        • ⚠Free tier restricted to 1 user and 2 projects, making team collaboration impossible without enterprise contract
        • ⚠Real-time streaming and continuous processing workflows have limitations compared to traditional programming approaches
        • ⚠Enterprise pricing requires sales engagement with no published pricing transparency for budget planning
        • ⚠Some advanced AI model features may have delayed availability compared to direct API access

        Pros & Cons

        ✓ Pros

        • ✓One of few low-code builders with SOC2 + HIPAA + on-prem
        • ✓Fortune 500 customer base provides confidence for procurement
        • ✓Strong document and Snowflake integrations for knowledge work
        • ✓Dev/staging/prod environments + versioning beat most no-code rivals
        • ✓Model-agnostic — no lock-in to a single LLM provider

        ✗ Cons

        • ✗Pricing is opaque; $499/mo entry is steep for small teams
        • ✗Visual canvas can get unwieldy at high complexity
        • ✗Less community/template ecosystem than Flowise or LangFlow
        • ✗Custom code blocks help, but pure devs prefer code-first tools
        • ✗Pricing was reported recently — verify with sales before purchase

        Frequently Asked Questions

        How does Stack AI ensure enterprise-grade security and compliance?+

        Stack AI maintains SOC 2 Type II, HIPAA, GDPR, and ISO 27001 certifications with AES-256 encryption at rest and in transit. They use dedicated infrastructure through Azure OpenAI and AWS Bedrock, offer on-premise and VPC deployment options, and provide explicit guarantees that customer data is never used for AI model training. Enterprise clients receive Business Associate Agreements (BAA) for healthcare use cases and Data Processing Agreements (DPA) with all AI providers.

        What makes Stack AI different from open-source alternatives like Flowise or Langflow?+

        While Flowise and Langflow offer greater technical customization at zero platform cost, Stack AI provides managed infrastructure, enterprise compliance certifications, professional support, and a more polished user interface. Stack AI targets enterprise buyers who need compliance and support, while open-source alternatives serve developers comfortable managing their own infrastructure and requiring maximum customization.

        How does Stack AI's pricing model work and what constitutes a 'run'?+

        A 'run' counts each complete workflow execution from start to finish, regardless of complexity or number of blocks. The free tier includes 500 runs monthly with 2 projects and 1 user. Enterprise pricing is custom-quoted based on usage requirements, team size, and specific compliance needs. LLM API costs from providers like OpenAI and Anthropic are separate from platform costs.

        Can Stack AI handle complex enterprise workflows with multiple AI models and integrations?+

        Yes. Stack AI supports multi-model workflows where different blocks can use different AI providers (OpenAI, Anthropic, Google, Cohere) within the same workflow. The platform includes 100+ enterprise integrations and supports complex logic through conditional blocks, loops, and custom code execution. Enterprise clients often build sophisticated multi-agent systems handling end-to-end business processes.

        What kind of ROI can enterprises expect from Stack AI implementation?+

        Documented client results include Ducker Carlisle achieving $1 million in operational savings, LifeMD saving 475,000 hours annually, and various organizations reporting 60-80% reduction in document processing time. ROI typically comes from automating repetitive tasks, reducing manual document processing, improving customer response times, and enabling citizen developers to create AI solutions without engineering resources.

        🔒 Security & Compliance

        🛡️ SOC2 Compliant
        ✅
        SOC2
        Yes
        ✅
        GDPR
        Yes
        ✅
        HIPAA
        Yes
        🏢
        SSO
        Enterprise
        ✅
        Self-Hosted
        Yes
        ✅
        On-Prem
        Yes
        🏢
        RBAC
        Enterprise
        🏢
        Audit Log
        Enterprise
        ✅
        API Key Auth
        Yes
        ❌
        Open Source
        No
        ✅
        Encryption at Rest
        Yes
        ✅
        Encryption in Transit
        Yes
        Data Retention: customizable
        Data Residency: CONFIGURABLE
        📋 Privacy Policy →🛡️ Security Page →
        🦞

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        What's New in 2026

        Stack AI achieved ISO 27001 certification alongside existing SOC 2, HIPAA, and GDPR compliance, expanded to 100+ enterprise integrations, enhanced their visual agent builder with advanced conditional logic, and documented significant client ROI results including Ducker Carlisle's $1M operational savings and LifeMD's 475,000 hours saved annually.

        Alternatives to Stack AI

        Relevance AI

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        No-code platform for building AI agents and teams that automate sales, marketing, and ops workflows.

        Vellum

        Testing & Quality

        LLM development platform for prompt engineering, evaluation, workflow orchestration, and deployment of production AI applications. Helps engineering teams build, test, and ship LLM-powered features with version control and observability.

        Gumloop

        AI Agents & Autonomous Workflows

        No-code AI workflow builder for automating repetitive business tasks like sales research, content production, and data enrichment.

        Agentforce

        Sales & Marketing Agents

        Enterprise AI agent platform that enables companies to build, deploy, and manage autonomous AI agents that work 24/7 for customers, suppliers, and employees. Integrates with Salesforce ecosystem and trusted business data.

        View All Alternatives & Detailed Comparison →

        User Reviews

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        Quick Info

        Category

        AI Agents & Autonomous Workflows

        Website

        stack-ai.com
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