Customer-scoped workspaces
Holdings, benchmarks, assumptions, and reports are organized around workspace permissions and retention rules.
Infrastructure
Built for secure portfolio data, explainable AI, and reliable analysis delivery.
Stat Edge Capital is designed as a professional analytics workspace, not a generic chatbot. The infrastructure approach supports controlled data ingestion, governed model output, repeatable scenario runs, and customer-ready reporting workflows.
Operating Principles
Infrastructure choices follow customer trust requirements.
Portfolio data, generated findings, and client-facing reports all need clear ownership, repeatability, and review controls. These principles shape how the platform is built for secure product operation.
Traceable analysis
Generated findings preserve calculation inputs, prompt versions, assumptions, timestamps, and reviewer actions.
Repeatable job execution
Scenario runs and report exports use monitored jobs with retry handling and status visibility.
Modular services
The platform separates web workflows, portfolio ingestion, analytics workers, model routing, and audit storage.
Architecture
Target production architecture.
The production architecture is designed to keep customer access, portfolio data, AI analysis, and operational controls separated while still supporting fast portfolio-review cycles.
Customer Layer
Web app
Advisor workspace
Report export
Application Layer
Secure edge delivery
Application firewall
API layer
Analysis workers
AI and Data Layer
Model gateway
Evaluation pipeline
Portfolio database
Object storage and catalog
Governance Layer
Encryption controls
Audit logs
Observability
Identity controls
Platform Capabilities
Infrastructure mapped to product value.
| Capability | Platform components | Customer value |
|---|---|---|
| AI analysis engine | Model gateway, retrieval layer, prompt registry, evaluation datasets | Explainable analysis briefs grounded in portfolio data and reviewable assumptions. |
| Portfolio data workspace | Secure upload, normalized holdings schema, benchmarks, data-quality checks | Cleaner portfolio review packets and fewer manual spreadsheet handoffs. |
| Scenario processing | Batch workers, job queue, status tracking, retry policies | Repeatable stress tests and allocation diagnostics across many client portfolios. |
| Security controls | Access roles, encryption, audit logs, backups, vulnerability review | More confidence during advisor security review and enterprise procurement. |
| Customer reporting | Report templates, export pipeline, review history, delivery logs | Consistent client-ready output with traceable analysis decisions. |
Reliability Priorities
Production readiness priorities.
Stat Edge Capital is prioritizing the controls that matter most for customer usage: data protection, analysis repeatability, model evaluation, observability, and customer support workflows.
Model quality
Regression tests, reviewer feedback, prompt versioning, and evaluation scorecards.
Data lifecycle
Import validation, retention settings, deletion workflow, and workspace boundaries.
Operational visibility
Job status, error alerts, service dashboards, and report-delivery monitoring.
Enterprise readiness
Security review materials, access controls, audit exports, and procurement support.
Customer Controls
Designed for teams that need reviewable decisions.
The product design emphasizes controls that let customers understand how an analysis was produced, who reviewed it, and which assumptions changed before a report was shared.
Workspace roles for analysts, reviewers, and administrators
Scenario assumptions stored with each generated analysis brief
Review history for model output, report edits, and export events
Customer-configurable retention policies for imported portfolio files
Operational alerts for analysis failures, import errors, and report delivery