Stack AI is a no-code platform for building and deploying AI agents across your organization. Founded by MIT PhDs and backed by Y Combinator, it lets both technical and non-technical teams create automated workflows using a drag-and-drop visual builder. Connect to 100+ enterprise data sources like SharePoint, Salesforce, and Snowflake, then deploy agents as chatbots, forms, or APIs. SOC 2 Type II, HIPAA, and GDPR compliant, Stack AI is built for regulated industries including finance, healthcare, and defense.

• Visual Workflow Builder: Design AI agent logic with a drag-and-drop interface. No coding needed, so business teams can build and iterate on their own without waiting on engineering.
• Auto Agents: Describe what you want in plain language and the platform generates a complete, multi-step AI agent automatically. Great for rapid prototyping.
• Retrieval Augmented Generation (RAG): Add a Knowledge Base node to any workflow and instantly ground AI responses in your company documents, with citations and version control built in.
• 100+ Enterprise Integrations: Connect to SharePoint, Salesforce, HubSpot, Snowflake, Google Drive, Slack, Teams, ServiceNow, and many more systems your teams already use.
• Enterprise Security & Compliance: SOC 2 Type II, HIPAA, and GDPR compliant with on-premise deployment options, PII detection, role-based access control, and audit logs.
• Multi-LLM Support: Route tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy and cost management.
• Flexible Deployment Options: Ship AI agents as chat assistants, advanced forms, or APIs that plug into Slack, Teams, Salesforce, or your own custom apps.
• Forward-Deployed Engineering Support: Enterprise customers get weekly co-building sessions, hackathons, and quarterly business reviews with dedicated engineers.

• Accessible to Non-Technical Teams: Business users in finance, operations, and HR can build their own AI workflows without relying on IT or engineering resources.
• Strong Security Posture: SOC 2 Type II, HIPAA, and GDPR compliance plus on-premise deployment make it a fit for regulated industries like healthcare, defense, and financial services.
• Fast Time to Value: Teams can go from idea to working AI agent in minutes thanks to the intuitive drag‑and‑drop builder, pre‑built components, and templates, speeding up deployment compared with traditional development cycles.
• Broad Integration Ecosystem: Over 100 native integrations with enterprise tools like Salesforce, SharePoint, Snowflake, and Slack mean you can plug into existing systems without custom development.

• Steep Jump in Pricing: Currently offers only Free and Enterprise tiers with no mid-range plan, which can be a barrier for small-to-medium teams not ready for custom enterprise pricing.
• Learning Curve for Complex Workflows: While basic agents are easy to build, debugging and customizing advanced multi-step flows requires time and experimentation.
• Primarily English-Only: The interface and support are available mainly in English, which may create friction for international teams.
• Enterprise-Focused, Not Consumer-Ready: The platform is optimized for internal enterprise automation. Teams looking for simple customer-facing chatbots may find it more complex than needed.

• Investment Memo Generation: Private equity and VC analysts use Stack AI agents to pull data from financial statements, market research, and internal docs to draft investment memos. Teams report reducing memo drafting time from 8 hours to 15 minutes.
• Insurance Claims Processing: Insurance carriers use Stack AI agents with OCR and document parsing to verify claims, extract data from forms, and speed up underwriting decisions.
• RFP Response Generation: Sales and business development teams automate responses to RFPs by pulling relevant data from SharePoint, past proposals, and company databases to generate accurate, sourced responses.