Enterprise-Grade
Generative AI
Drive efficiencies with secure, scalable, and robust AI solutions.
Trusted by the world’s most innovative enterprises
Use cases
AI assistants for all
industries and functions
Operations
Proposals & RFPs AI Assistant
AI assistant to support your team building proposals and RFPs by drafting specific sections.
Analytics
Data Warehouse AI Assistant
Reduce reliance on data analytics by enabling real-time insights through natural language queries.
Healthcare
Physician AI-Copilot
Query an AI system with questions about the patient history, treatment plans, and progress using internal data.
Our Platform On-Premise
Leverage Stack AI's self-hosted option for maximum security and data privacy. We help you set up and maintain the platform on your servers.
Deploy in your VPC for complete control
Full on-premise deployment on your servers
Deploy on cloud regions to comply with local regulations
Integrate Stack AI with your on-premise models and database
Fast Development Cycle - Using Stack AI is the fastest way to deploy AI solutions at scale: 10x faster than building in-house.
Cost Efficiency - Building AI solutions with Stack AI is on average 80% less expensive than having an in-house team.
Enterprise-Driven Platform - Our platform is designed to meet the needs of enterprises (guardrails, PII protection, SSO).
White-glove Support - We support your AI roadmap with dedicated support and training (webinars, workshops, guides).
Secure AI - We are SOC2, GDPR, HIPAA compliant, and work with secure models (Azure OpenAI & AWS Bedrock).
On-premise Deployment - Stack AI can be self-hosted on your own servers, giving you complete control over your data.
Certifications
America
SOC 2
Stack AI adheres to rigorous standards, in areas such as information processing, data retention, and access control.
EUROPE
GDPR
We protect your data by ensuring secure processing and providing mechanisms to exercise your rights under GDPR.
Healthcare
HIPAA
We protect your sensitive medical data through secure processing, adhering to HIPAA compliance for data confidentiality.
