Rank #376Free tier available; custom enterprise pricing

Stack AI

Enterprise AI agent factory for building, orchestrating, and governing AI workflows

74.5Overall
score
ToolsRank verdict

Stack AI suits enterprise IT and operations teams that need to build secure, governed agentic workflows across internal systems with strict compliance controls. It is less suitable for individual developers or small hobbyist teams seeking cheap, lightweight self-serve plans without enterprise overhead.

Sources captured Sep 8, 2026 · First listed Sep 23, 2026 · Methodology v1.1 · Vendor pricing can change

Listed dossier. Drafted from the vendor's official pages with AI assistance and published under the automatic listing rules; an editor has not reviewed it yet. Every claim links to its source below. Report an error or read how listing works.

Direct answer

What is Stack AI?

Stack AI is an enterprise platform for orchestrating, deploying, and governing agentic AI workflows and assistants across multi-tenant, VPC, or on-premise environments.

Stack AI functions as an enterprise AI agent factory designed primarily for IT, operations, and enterprise architecture teams. The platform provides a visual interface for creating agentic workflows, connecting them to enterprise databases, and deploying them across multiple environments including multi-tenant cloud, Virtual Private Cloud (VPC), and air-gapped on-premise infrastructure. Workflows in Stack AI can integrate with over 300 enterprise data sources and business applications, such as Salesforce, Asana, Google Drive, and Notion. The system supports multi-modal inputs and outputs (text, image, audio, and video) alongside custom code execution using Python and JavaScript. Workflows can incorporate human-in-the-loop checkpoints to keep decision-making supervised where required. Stack AI remains model-agnostic, enabling users to swap between various large language model providers depending on task requirements. To support enterprise security and compliance standards, the vendor maintains certifications for SOC 2 Type II, ISO 27001, HIPAA, and GDPR, and backs data processing with explicit Data Processing Addendums (DPAs) stating customer data is not used for model training.

What makes it different

Stack AI focuses strictly on enterprise-grade governance, offering four deployment models (including air-gapped on-premise and VPC), 300+ enterprise integrations, human-in-the-loop checkpoints, and explicit DPAs preventing third-party model training.

Product capabilities

Key features

✦

Agentic Workflow Builder

Visual canvas to design multi-step AI agents and automations combining logic, data retrieval, and action execution.

✦

Flexible Deployment Options

Deployment models ranging from multi-tenant cloud to dedicated Virtual Private Cloud (VPC) and air-gapped on-premise setups.

✦

Model-Agnostic LLM Routing

Ability to select and deploy different underlying AI model providers to match specific task performance needs.

✦

Human in the Loop

Configurable checkpoints that introduce human oversight and validation into critical decision steps.

✦

Custom Code Logic

Inclusion of Python and JavaScript code modules inside workflows alongside generative AI nodes.

✦

Enterprise Knowledge Bases & Loaders

Connectors to ingest documents (PDF, Word, PowerPoint), scrape web pages, and sync files from Google Drive and Notion.

✦

Security & Identity Governance

Features SAML-based Single Sign-On (SSO), granular access control, audit logs, and AES-256 data encryption at rest and in transit.

Practical fit

Who should use Stack AI?

Enterprise IT TeamsSolutions ArchitectsOperations TeamsRisk and Compliance OfficersCitizen Developers
01

SOW and Document Intake Automation

Extract structured data from statement-of-work documents, enrich details via CRM context, and create downstream tasks in Asana and Salesforce.

02

Risk, KYC, and AML Screening

Screen risk profiles, reconcile compliance evidence, and automate checks across regulated financial workflows.

03

Service Desk & ITSM Triage

Parse incoming support requests, pull relevant internal knowledge, and draft accurate support responses automatically.

04

Contract and Legal Review

Accelerate legal due diligence, inspect data room documentation, and flag redline conditions in contracts.

Editorial assessment

Pros and limitations

Where it is strong

  • Offers four deployment types including dedicated VPC and air-gapped on-premise options
  • Holds enterprise certifications including SOC 2 Type II, ISO 27001, HIPAA, and GDPR
  • Maintains DPAs ensuring customer data is not used for AI model training
  • Supports multi-modal input and output (text, image, audio, video) and custom Python/JS scripts
  • Generous free tier with 500 runs per month to test workflows

Where to be careful

  • No transparent self-serve paid tiers listed between the free plan and custom enterprise pricing
  • Free plan is restricted to 2 projects, 1 seat, and community support on Discord

Commercial context

Stack AI pricing

Starting from$0

As of September 2026, Stack AI provides a Free tier offering 500 runs per month and 2 projects. Enterprise deployments require custom pricing negotiated directly with the vendor.

PlanPriceWhat it includes
Free$0 / month
  • 500 runs per month
  • 2 Projects
  • 1 Seat
  • Community support on Discord
  • Agents and Flow modules
  • Multi-modal vision, TTS, and STT
  • Python and JavaScript logic
  • Document uploads and web scraping loaders

Suitable for testing and prototyping.

EnterpriseCustom / month
  • Custom number of runs
  • Unlimited projects
  • Custom number of seats
  • Dedicated infrastructure
  • Dedicated solution engineers
  • On-premise and VPC deployment
  • SSO and advanced access control
  • SOC 2, HIPAA & GDPR compliance
  • BAA signing

Requires contacting sales for a custom quote.

Pricing, limits, taxes, model access, and regional availability can change. Verify the purchase-critical details on the official pricing page linked under Sources.

Transparent ranking

Why Stack AI scores 74.5

Each factor is scored on a 100-point scale, then combined using the public ToolsRank weights. Engagement and momentum stay at a neutral baseline until measured signals exist, so no tool can gain or lose position from numbers nobody recorded.

Editorial quality78
Practical utility82
Trust & transparency84
Freshness80
Engagement quality8
Momentum75
See weights, tie-breakers, and governance →

Compatibility

Languages, platforms, and integrations

Languages

  • English

Platforms

  • Web
  • Chrome Extension

Integrations & surfaces

  • Salesforce
  • Asana
  • Google Drive
  • Notion
  • Slack
  • REST API
  • OpenAI
  • Anthropic

Community

Reviews and questions

No approved member reviews yet. Editorial factors above are the only rating on this page.

Reviews and questions come from Google-signed members and are checked by an editor before they appear.

Frequently asked

Stack AI FAQ

What is included in the Stack AI Free plan?+

The Free plan includes 500 runs per month, up to 2 projects, 1 seat, and community support on Discord.

What deployment models does Stack AI offer?+

Stack AI supports four deployment options: Multi-Tenant Cloud, Dedicated Infrastructure, Virtual Private Cloud (VPC), and Air-Gapped On-Premise.

Does Stack AI use customer data to train AI models?+

No. Stack AI explicitly commits not to use customer data to train models and has established Data Processing Addendums (DPAs) with third-party model providers to prevent training on inference data.

What security certifications does Stack AI hold?+

Stack AI is certified for SOC 2 Type II and ISO 27001, and complies with HIPAA and GDPR standards.

Who owns Stack AI?+

Stack AI is operated by Eigen Inc. and the official website notes that Asana has acquired Stack AI.

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