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Foundational Knowledge
Learn the core concepts of AI agents: what they are, how they work, and features like Retrieval-Augmented Generation (RAG), security, and integrations.
Real-World Applications
Explore how AI agents can automate tasks, support decision-making, and create efficiencies in your work or organization through tailored use-cases.
Hands-On Building
Design and deploy your first AI agent, no coding skills needed. Leave with working AI agents tailored to your own needs. Need help? We'll be there to support.
Secure Agentic AI for Quantitative Research, Market Surveillance, and Trading Operations
StackAI helps quantitative trading firms like Jump Trading deploy secure AI agents that automate market research, accelerate investment committee memo generation, and extract real-time insights from internal data sources—all with enterprise-grade governance and on-premise deployment options.
Granular RBAC
Create custom roles and groups
Global Policy
Admins set cross-cutting policy
Agentic Development Life Cycle
The safest path from prototype to production
Analytics
Customizable audit logs and global analytics
Delegated Permissions
Enforce end-user access to sensitive information
Scope Control
Assign users and groups to private folders
A multi-billion-dollar hedge fund deployed AI agents through StackAI to streamline research workflows, surface insights faster, and enhance client relations — enabling sharper, data-driven investment decisions and a measurable edge in speed and analytical depth.
Workflows used
AI-powered investment research and client relations.
Data-driven investment decision-making
Accelerated research and insight surfacing
How a Multi-Billion-Dollar Hedge Fund Uses AI Agents to Enhance Client Relations and Sharpen Decision-Making
integrations
With 100+ enterprise integrations, AI agents built on StackAI can read, write, and execute tasks within your existing systems.
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