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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 Trading Research, Market Analysis, and Operational Automation
StackAI helps quantitative trading firms like Susquehanna International Group deploy secure AI agents that automate market research, synthesize internal data across asset classes, streamline investment committee workflows, and generate real-time reporting—all with enterprise-grade governance, SOC 2 compliance, and seamless integration into existing systems.
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 built on StackAI to streamline research, synthesize large volumes of data, and enhance client relations workflows — enabling sharper, faster investment decision-making across the firm.
Workflows used
AI-powered investment decision-making.
Client relations automation
Data-driven research synthesis
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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