Sandbox · Agent Runtime
Runs quant, research, risk and compliance agents in isolated environments.
- Permissioned execution
- Reproducible runs
- Audit-ready traces
Application with Infrastructure Layer
Applications grow from governed roots.
TOP AI applications do not call models directly. They run on an infrastructure layer built for identity, market context and controlled execution.
Foundation
Sandbox + Token + Data
One control plane for execution, model access and business context.
Infrastructure roots
Three governed roots
Every workflow depends on the same foundation.
Token · MaaS
Connects applications to approved external models through governed APIs.
- Central access control
- Token metering
- Cost governance
Data · Business Scene
Organizes massive market, filing and risk data around business context.
- Contextual datasets
- Data lineage
- Permission-aware access
Applications
What grows on top
The same foundation supports three institutional workflows.
AI Onboarding
Identity verification, fraud prevention and compliance automation.
AI Trading
Research, strategy generation and governed execution.
AI Research
Filing, earnings-call and alternative-data analysis.
Dependency map
How Infra supports Applications
AI Onboarding
Uses governed runtime, model access and identity-ready data.
AI Trading
Uses safe execution, signal models and market context.
AI Research
Uses research agents, reasoning models and filing context.