Stack AI is a Cambridge-based no-code platform for building and deploying AI workflows and agents — making AI automation accessible to technical and non-technical teams alike through a visual interface — with particular strength in document processing, data extraction, and knowledge management use cases. It targets enterprises in healthcare, education, and other information-intensive industries, reflected in its notable customer list of MIT, Stanford, and Memorial Sloan Kettering Cancer Center. The platform supports HIPAA and SOC 2 compliance alongside on-premises deployment, positioning it as a credible choice for regulated industries that cannot send sensitive data through public AI APIs without controls. Its freemium pricing makes it accessible from individual practitioners through to large enterprise deployments.
Stack AI
No-code AI workflow builder for enterprise document processing and knowledge automation
Compliance
GDPR HIPAA SOC 2
Key Features
- Visual no-code AI workflow builder: A drag-and-drop interface for assembling AI workflows that chain together document ingestion, LLM calls, data extraction, classification, and human review steps — without requiring engineering for each new workflow.
- Document processing and data extraction: Pre-built workflows and components for ingesting PDFs, spreadsheets, and unstructured documents, extracting structured data, and routing outputs to downstream systems.
- RAG and knowledge management: Tools for building retrieval-augmented generation applications that connect an AI to a company’s internal knowledge base for Q&A, document search, and summarization.
- Multi-model support: Works across major LLM providers, allowing teams to select models based on cost, capability, or compliance requirements.
- HIPAA-compliant deployment: Supports HIPAA-compliant configurations for healthcare customers handling protected health information (PHI).
- On-premises deployment option: Enterprise customers can deploy Stack AI within their own infrastructure, keeping data within controlled environments.
Use Cases
- For healthcare organizations automating document workflows: A hospital or health system uses Stack AI to build document intake, clinical note processing, or prior authorization workflows under HIPAA controls.
- For research and academic institutions: A university or research center uses Stack AI to build literature review, data extraction, and knowledge management workflows without a dedicated ML engineering team.
- For enterprise teams automating knowledge-intensive processes: A legal or financial services team uses Stack AI to extract structured data from contracts, filings, or reports at scale.
Pricing MODELS
Freemium
Pricing Summary
Freemium model. Free tier available for individuals. Starter at $99/month. Enterprise is custom-quoted, adding on-premises deployment, HIPAA compliance, higher usage limits, and dedicated support.
Company Size Fit
Enterprise Mid-market SMB
Technical Snapshot
API Available
Yes
LLM Provider
Multi-model
Open Source
No
Deployment Options
Cloud Saas, On-premise
Notable Customers
MIT, Stanford, Memorial Sloan Kettering