GTM Hub
What is Stack AI?
Stack AI is an enterprise AI agent factory with a visual workflow builder, RAG knowledge bases, 100–500+ integrations, and deployment options from multi-tenant cloud to VPC and on-prem. It helps GTM and ops teams turn document-heavy processes—Q&A over playbooks, CRM updates, research memos, and customer-facing chatbots—into governed agents without assembling retrieval, integrations, and compliance controls separately.
Key features
Visual Workflow Builder
Drag-and-drop canvas connecting LLMs, knowledge bases, logic, code (Python/JS), and app nodes with an in-builder assistant.
RAG Knowledge Bases
One-click ingestion from files, web scraping, Google Drive, Notion, and business systems with PDF/Office readers.
Multi-Model & BYOK
OpenAI, Anthropic, Google, Meta, Mistral, Azure, Bedrock, local endpoints, and admin governance over allowed providers.
Agents & Tool Calling
LLM nodes invoke tools, route requests, and execute actions across Salesforce, SharePoint, Slack, HubSpot, and more.
MCP Connectivity
Connect third-party Model Context Protocol servers alongside native StackAI integrations.
Publishing Surfaces
Deploy as hosted UIs, REST APIs, custom domains, Slack/Teams bots, and Chrome extensions.
Human-in-the-Loop
Approval steps and admin review on sensitive workflows before outputs or system writes ship.
Enterprise Security
SOC 2 Type II, HIPAA and GDPR support claims, PII redaction, RBAC, SSO (Okta/Entra), audit logs, VPC/on-prem.
Stack AI pricing
Public self-serve Free tier: $0/month with 500 runs, 2 projects, and 1 seat (community Discord support). Production deployments are Enterprise custom quotes—third-party guides cite five- to six-figure annual minimums and AWS Marketplace listings at $120K/year for 5,000 runs/month hosted. Model/API usage may be additional depending on deployment terms.
| Plan | Price | What's included |
|---|---|---|
| Free | $0/month | 500 runs/month, 2 projects, 1 seat, core modules, Google Drive/Notion loaders, REST API, Slack bot, community support |
| Enterprise | Custom quote | Custom runs and seats, unlimited projects, all data loaders, dedicated infrastructure and solution engineers, VPC/on-prem, SSO, access control, priority support |
Pros & cons
Pros
- + Visual builder lets non-engineers prototype GTM agents while IT keeps governance.
- + Strong compliance posture for regulated industries (finance, healthcare, defense logos).
- + LLM-agnostic design avoids vendor lock-in on a single model provider.
- + RAG and integrations in one product accelerates internal copilots and customer bots.
- + Flexible deployment (cloud, VPC, on-prem) fits strict data residency requirements.
- + Mature observability and audit logging for production agent oversight.
Cons
- − No published mid-tier plan; 500 free runs/month is sandbox-only for real GTM volume.
- − Enterprise pricing is opaque and typically requires long procurement cycles.
- − Integration counts vary across marketing pages (70–500+), so due diligence is needed.
- − Complex workflows still demand technical owners for maintenance and testing.
- − AWS and analyst estimates suggest high entry cost versus lighter no-code agents.
- − Feature-rich UI can overwhelm teams seeking simple chat-first automation.
Who is Stack AI best for?
- • Enterprise GTM and enablement teams building governed internal copilots over Salesforce and SharePoint.
- • Regulated organizations needing VPC/on-prem and HIPAA/SOC 2 alignment.
- • RevOps and solutions engineers codifying repeatable research, Q&A, and document workflows.
- • Teams with budget for white-glove implementation and dedicated solution engineers.
- • Companies standardizing on one agent platform across departments rather than many point tools.
Frequently asked questions
Is Stack AI really free?
Yes for evaluation: the Free plan allows 500 workflow runs per month with one seat. Production-scale usage requires an Enterprise quote with custom run and seat limits.
Can Stack AI deploy on-premises?
Yes. Enterprise offers customer VPC and on-prem deployment with the same builder, targeting data sovereignty and regulated workloads.
What counts as a run?
A run is one execution of a workflow or published agent interface. Heavy automation quickly exceeds the 500-run free cap.
