/

The AI Transformation Platform for Quantitative Trading Firms

The AI Transformation Platform for Quantitative Trading Firms

Trusted by

low-angle photography of building

Secure Agentic AI for Quantitative Trading Research, Risk Analysis, and Operational Automation

StackAI helps quantitative trading firms like Jane Street deploy secure AI agents that automate market research, streamline internal knowledge retrieval across proprietary data sources, and accelerate document-heavy workflows—all with enterprise-grade governance, SOC 2 compliance, and on-premise deployment options.

On-premise deployment
On-premise deployment
Built-in governance and analytics
Built-in governance and analytics
White-glove support from AI experts
White-glove support from AI experts
Templates for quantitative trading research, market data analysis, and risk reporting
Templates for quantitative trading research, market data analysis, and risk reporting

Governance

Multi-Layer Governance

Governance on StackAI ensures that AI agents are built and deployed safely, so enterprises can scale their AI initiatives with confidence.

Governance

Multi-Layer Governance

Governance on StackAI ensures that AI agents are built and deployed safely, so enterprises can scale their AI initiatives with confidence.

Governance

Multi-Layer Governance

Governance on StackAI ensures that AI agents are built and deployed safely, so enterprises can scale their AI initiatives with confidence.

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

Case Studies

Trusted by Leading Quantitative Finance Firms

Leading financial firms trust StackAI to accelerate research workflows, enhance decision-making, and strengthen client operations with AI agents.

Case Studies

Trusted by Leading Quantitative Finance Firms

Leading financial firms trust StackAI to accelerate research workflows, enhance decision-making, and strengthen client operations with AI agents.

A multi-billion-dollar hedge fund deployed StackAI's AI agents to streamline research workflows, surface insights faster, and strengthen client-facing operations — enhancing decision-making speed and sharpening their competitive edge across the firm.

Workflows used

AI-powered client relations and research insights.
Faster decision-making for investment teams
Streamlined research workflow automation
cityscape photography of high-rise building

How a Multi-Billion-Dollar Hedge Fund Uses AI Agents to Enhance Client Relations and Sharpen Decision-Making

Use Cases Collection

10+ AI Agents Transforming Finance

Explore 25+ real-world AI agent use cases helping finance teams reduce manual tasks, speed up decisions, and drive smarter, more scalable operations.

Use Cases Collection

10+ AI Agents Transforming Finance

Explore 25+ real-world AI agent use cases helping finance teams reduce manual tasks, speed up decisions, and drive smarter, more scalable operations.

integrations

Bring Agentic AI to

Bring Agentic AI to

Jane Street

Jane Street

With 100+ enterprise integrations, AI agents built on StackAI can read, write, and execute tasks within your existing systems.

our certifications

Enterprise-Grade Security

Don't just take our word for it—StackAI is certified to protect sensitive data, no matter the industry or use case.

our certifications

Enterprise-Grade Security

Don't just take our word for it—StackAI is certified to protect sensitive data, no matter the industry or use case.

HIPAA

Secure, certified handling of sensitive health information.

Healthcare

001

GDPR

Advanced privacy standards for the protection of personal data.

Europe

002

SOC 2 Type II

Verified security practices for enterprise-grade data protection.

SECURITY

003

ISO 27001

Global excellence in information security management.

global

004