Stack AI

Designed for IT teams, operations leaders, and enterprise business units that need to automate complex knowledge work without writing custom AI infrastructure, Stack AI provides a visual drag-and-drop builder that makes sophisticated LLM orchestration accessible to both technical and non-technical users.

The platform's workflow builder uses an intuitive node-based interface where users assemble AI logic by connecting pre-built componentsdocument loaders, LLM calls, knowledge base queries, API connectors, conditional logic, and output formatters.

Building a Retrieval-Augmented Generation (RAG) system, for instance, requires only dragging a Knowledge Base node into the workflow canvas; default settings handle chunking, embedding, and retrieval optimization for the vast majority of enterprise use cases without any configuration.

Stack AI ships with over 100 pre-built enterprise integrations enabling AI agents to read from and write to the systems organizations already usedocument management platforms, CRMs, ERP systems, databases, communication tools, and industry-specific software.

This breadth of connectivity means AI workflows can orchestrate real work across the technology stack rather than operating as isolated AI demos. User-facing interfaceschat windows, forms, and batch processing pipelinesare all configurable within the platform, removing the need for separate frontend development.

Security and compliance are foundational to Stack AI's enterprise positioning. The platform is certified under SOC 2 Type II and HIPAA standards and is pursuing ISO 27001 certification, with GDPR compliance built in.

Enterprise deployments benefit from role-based access control, single sign-on, comprehensive audit logs, version control on workflow changes, and options for VPC or on-premise deployment for organizations with strict data residency requirements.