TL;DR
- Best for enterprise no-code AI agents with compliance and governance: Stack AI (HIPAA, SOC 2 Type II, ISO 27001, GDPR certified, VPC and on-premise deployment, LLM agnostic, 100+ enterprise integrations, human-in-the-loop oversight, free tier with 500 runs/month)
- Best for AI agents with forms, data, workflows, and email at SMB pricing: TinyAgents (7 LLM providers, natively connected to TinyForms, TinyTables, TinyWorkflows, TinyEmails, free forever tier)
- Pricing: Stack AI starts free (500 runs/mo, 2 projects) with Enterprise at custom pricing. TinyCommand starts free with all 5 products from $19/mo.
- The core difference: Stack AI builds enterprise-grade AI agents for regulated industries — finance, legal, healthcare, compliance. It gives IT teams governance, audit logs, VPC deployment, and citizen developer controls. TinyAgents builds AI into daily business operations — lead scoring, email drafting, data enrichment — connected to your forms, databases, and workflows. Stack AI is for enterprises that need AI with guardrails. TinyAgents is for SMBs that need AI with productivity.
| Feature | TinyAgents | Stack AI |
|---|---|---|
| Enterprise compliance | ✗ | ✓ (SOC 2, HIPAA, GDPR) |
| On-premise | ✗ | ✓ |
| Starting price | $49/mo | ~$1,000/mo+ |
| Native forms | ✓ | ✗ |
| Data enrichment | ✓ | ✗ |
We used to run our lead enrichment and outreach through five different tools. With TinyCommand, it is just one flow.
— Ankit Solanki, InVideo
Stack AI has positioned itself as the enterprise no-code AI agent platform for regulated industries. With HIPAA, SOC 2 Type II, ISO 27001, and GDPR certifications, it meets the compliance requirements that banks, hospitals, law firms, and government agencies demand before deploying AI. Customers report $1 million in operational savings through citizen developer adoption — non-technical employees building AI workflows without engineering support.
The platform supports multiple deployment options: multi-tenant cloud, virtual private cloud (VPC), and on-premises. This flexibility matters for enterprises where data cannot leave their infrastructure. LLM agnosticism means you choose the best model per task without vendor lock-in. Human-in-the-loop governance ensures humans approve critical decisions before AI agents execute them.
TinyAgents serves a fundamentally different market with a different philosophy. Instead of enterprise governance and compliance infrastructure, it focuses on making AI productive for small and growing businesses. Connect 7 LLM providers to your forms, databases, workflows, and email. Score leads. Draft content. Classify data. Write emails. All without procurement processes, compliance audits, or dedicated infrastructure. Sign up, configure, deploy — in minutes, not months.
Stack AI is for enterprises that need AI they can trust with regulated data. TinyAgents is for businesses that need AI they can use without an IT department.
Where Each Tool Wins
Where Stack AI wins
Enterprise compliance. HIPAA, SOC 2 Type II, ISO 27001, GDPR certified. These certifications take years to achieve and are mandatory for regulated industries. TinyCommand does not hold these certifications.
Deployment flexibility. Multi-tenant cloud, VPC, or on-premises. Your data stays on your infrastructure. TinyCommand is SaaS-only on shared cloud.
Enterprise governance. Audit logs, access controls, feature controls, SSO, human-in-the-loop. IT teams govern what agents do. TinyAgents has no enterprise governance layer.
Multimodal AI. Process text, images, audio, video. Read PDFs, Word docs, PowerPoint. TinyAgents is primarily text-based.
Citizen developer platform. Non-technical enterprise employees build production AI agents with IT oversight. Designed for scaled adoption across departments.
Where TinyAgents wins
All-in-one platform. AI + forms + database + workflows + email in one subscription. Stack AI is AI agents only — everything else needs separate enterprise tools.
Named LLM providers. Claude, GPT-4, Gemini, and 4 more — choose per step. Stack AI is LLM agnostic but does not publicly name supported models.
SMB accessibility. Free tier with all 5 products. $19/month for the full platform. Stack AI free tier is 500 runs with 2 projects, Enterprise requires sales conversations.
Business data connection. AI reads from TinyTables, triggered by TinyForms, outputs to TinyEmails and TinyWorkflows. All natively connected. Stack AI integrates via APIs with existing enterprise systems — more flexible but more complex.
Minutes to deploy. Sign up, configure an agent, it works. Stack AI enterprise deployments involve solution engineers and custom infrastructure.
Enterprise AI governance vs SMB AI productivity
Stack AI's drag-and-drop agent builder lets non-technical users create complex AI workflows. An HR team builds an employee onboarding agent that reads policy documents, answers new hire questions, and routes complex issues to humans. A legal team builds a contract review agent that extracts key terms, flags risks, and generates summary reports. A finance team builds an invoice processing agent that reads documents (PDF, Word, PowerPoint), extracts data, and populates their ERP system.
The enterprise controls distinguish Stack AI from simpler tools. Audit logs track every agent decision for compliance. Feature controls let IT teams restrict what agents can do. Access controls govern who can build, edit, and deploy agents. SSO integration means employees authenticate through existing identity providers. These are not features — they are requirements for enterprise AI deployment in regulated industries.
The 100+ enterprise integrations connect agents to existing systems — CRMs, ERPs, knowledge bases, file storage, communication tools. Agents do not just chat — they read from and write to the systems your business already uses. This is the difference between a chatbot and a business process agent.
But Stack AI's free tier is limited to 500 runs per month and 2 projects. The Enterprise tier requires custom pricing and sales conversations. For a 5-person startup that needs AI to score leads from form submissions and draft outreach emails, Stack AI's enterprise focus is overkill. The governance infrastructure, compliance certifications, and VPC deployment options solve problems that SMBs do not have.
TinyAgents strips away the enterprise layer and connects AI directly to business operations. Form submitted in TinyForms → AI in TinyAgents reads the submission, scores the lead using Claude or GPT-4, drafts a personalized response → TinyEmails sends it → TinyWorkflows updates your CRM. No audit logs. No VPC deployment. No compliance certification overhead. Just AI making your business faster, connected to everything through one data layer.
The AI model flexibility is comparable. Both platforms are LLM agnostic — Stack AI supports multiple models per task, TinyAgents offers 7 named providers (Claude, GPT-4, Gemini, and 4 others). Stack AI does not name its supported models publicly. TinyAgents lets you switch models per workflow step with explicit control over which provider handles each task.
Stack AI handles inputs beyond text — images, audio, and video through its document readers and data loaders. TinyAgents is primarily text-based. For document processing (reading invoices, analyzing images, transcribing audio), Stack AI's multimodal capabilities are more advanced.
The deployment architecture is the fundamental divide. Stack AI deploys on your infrastructure or a private cloud. Your data never touches shared servers. This is essential for healthcare (HIPAA) and financial services (SOC 2). TinyCommand is SaaS only — your data lives on shared cloud infrastructure. For regulated industries, this is a dealbreaker. For SMBs, it is a non-issue.
Who should choose what
Choose TinyAgents if:
- You need AI connected to forms, databases, workflows, and email without enterprise overhead
- You want 7 named LLM providers (Claude, GPT-4, Gemini) with explicit per-step model selection
- You are an SMB or startup that needs AI productivity, not AI governance
- Self-serve signup at $19/month is more realistic than enterprise sales conversations
- Your AI use cases are lead scoring, email drafting, data enrichment, and content classification
- You want one platform for AI + forms + database + automation + email
- You do not operate in a regulated industry that requires HIPAA/SOC2/VPC deployment
Choose Stack AI if:
- You are an enterprise in a regulated industry (healthcare, finance, legal, government)
- HIPAA, SOC 2 Type II, ISO 27001, and GDPR compliance are non-negotiable
- You need VPC or on-premises AI deployment — data cannot leave your infrastructure
- Enterprise governance (audit logs, access controls, SSO, feature controls) is required
- Human-in-the-loop oversight for critical AI decisions is part of your risk management
- Your AI agents need to process documents (PDF, Word, PowerPoint, images, audio)
- IT teams need to govern what citizen developers can build and deploy
- You have budget for enterprise custom pricing and dedicated solution engineers
This comparison also applies to
- Teams comparing TinyAgents with Relevance AI (enterprise AI agent platform)
- Teams comparing TinyAgents with Dust.tt (enterprise AI assistant builder)
- Teams comparing TinyAgents with Langflow (visual LLM flow builder)
- Enterprise IT teams evaluating no-code AI agent platforms for regulated environments
- SMBs deciding whether they need enterprise-grade AI governance or practical AI productivity
