Portfolio tools are fragmented.
Investors often jump between spreadsheets, broker exports, research portals, and generic AI tools. That creates slow reviews, inconsistent assumptions, and weak documentation.
Private beta | Founded 2026 | United States
State Edge Capital
Explainable AI portfolio analysis for investors who need risk, allocation, and scenario answers before markets move.
- AI-generated allocation diagnostics
- Portfolio stress tests and drawdown scenarios
- Advisor-ready research packets with audit trails
Portfolio Edge
78
Balanced risk posture
AI finding
Equity factor overlap is the largest contributor to downside sensitivity.
Private beta
Advisor and active-investor pilots planned for Q3 2026
Cloud-native
Designed for secure model orchestration, encrypted storage, and analysis workers
Compliance-aware
Explainability, data minimization, model logs, and client consent controls
Interactive Product Demo
Portfolio analysis that explains the why behind the risk.
The static demo below models the kind of diagnostics State Edge Capital is building: allocation drift, concentration risk, scenario exposure, liquidity posture, and plain-English AI findings tied to underlying calculations.
Sample portfolio
Allocation Inputs
This public demo uses deterministic sample data. Production workflows connect to custodian exports, broker APIs, and client-approved portfolio files.
AI risk score
78
Balanced
Equity sensitivity
0%
Estimated stress drawdown
0%
Liquidity buffer
0%
Scenario engine
Stress Tests
Generated analysis brief
Company Overview
Built for portfolio decisions where context matters.
State Edge Capital is an early-stage fintech software startup focused on AI-assisted portfolio analysis. The platform is designed to help users compare portfolio intent against actual holdings, surface hidden exposures, and prepare client-ready reports with traceable assumptions.
Unified AI analysis workspace.
We combine holdings ingestion, factor diagnostics, scenario analysis, report generation, and review logs in a single workflow that keeps every output tied to data.
Advisors, family offices, and active investors.
The first release targets small advisory teams and sophisticated investors who need fast review packets without hiring a full quant engineering team.
Explainability first.
Each insight includes calculation sources, confidence notes, and review history so users can trust, challenge, or override model output.
Workflow
From holdings to board-ready analysis.
The platform is designed as a repeatable operating workflow for portfolio reviews, not a one-off chatbot. Users can upload or connect holdings, define policy targets, run analysis, save assumptions, and export a packet for review.
01
Import holdings, cash, benchmarks, and policy constraints
02
Compute risk, factor overlap, concentration, tax, and liquidity signals
03
Generate an AI explanation with citations to portfolio data and assumptions
04
Export review packets and retain audit logs for internal supervision
Infrastructure
Secure, scalable analytics for professional portfolio workflows.
State Edge Capital is designed around encrypted portfolio data, governed AI output, batch scenario analysis, and reliable report delivery for advisor and investor teams.
Model governance
Analysis briefs are tied to portfolio inputs, scenario assumptions, prompt versions, and reviewer actions so teams can challenge or approve model output before use.
Data operations
Holdings, benchmarks, research notes, and report history are separated into structured workflows with retention controls and customer-scoped permissions.
Reliability
The product roadmap includes monitored analysis workers, resilient report exports, audit logs, encrypted backups, and controlled release gates for customer pilots.
Commercial Model
Pricing designed for beta pilots and production scale.
Initial customers can start with lightweight portfolio reviews, then expand into team-level workflows as data integrations and reporting volume grow.
Research Preview
$0
Limited private-beta access for pilot users contributing workflow feedback.
- Sample and uploaded portfolio analysis
- Scenario and concentration diagnostics
- Quarterly product feedback calls
Advisor Studio
$299/seat monthly
Planned subscription for RIAs and family-office teams after production launch.
- Client portfolio workspaces
- Model governance and review history
- PDF report export and data connectors
Managed Analytics
Custom
Planned deployment support for teams with custom datasets or compliance needs.
- Dedicated cloud environment options
- Custom risk models and report templates
- Security review and procurement support
Roadmap
Product milestones for the next 12 months.
The roadmap is staged around a secure MVP, private beta, compliance-hardening, and customer expansion.
Q2 2026
Static launch and prototype validation
Public product site, customer narrative, interactive demo, and advisor discovery.
Q3 2026
Private beta
Portfolio import, AI analysis packets, advisor feedback loops, and data-quality review.
Q4 2026
Production MVP
Secure accounts, audit trails, cloud observability, report export, and billing setup.
Q1 2027
Scale pilots
Data integrations, organization controls, model evaluation harness, and enterprise pilots.
FAQ
Clear boundaries for an AI finance product.
Does State Edge Capital provide investment advice?
No. The platform provides portfolio analytics, risk explanations, and research workflows. It does not provide personalized investment, legal, tax, or accounting advice. Users remain responsible for decisions and client suitability obligations.
What data does the platform analyze?
Planned data sources include user-provided holdings files, benchmark definitions, portfolio policy constraints, market data, factor datasets, and internal research notes. Production ingestion will require explicit user consent.
How are AI outputs governed?
Outputs are designed to include references to source holdings, calculation inputs, scenario assumptions, timestamps, and reviewer actions. High-impact recommendations require human review before client use.
Why is cloud infrastructure needed?
The product requires secure storage, model orchestration, batch analytics, customer-isolated environments, monitoring, and scalable compute for portfolio simulations. The detailed approach is available on the Infrastructure page.
Contact
Request beta access or startup diligence materials.
For beta access, advisor pilots, investor inquiries, or diligence materials, use this form or email contact@statedgecap.pro.
Domain: statedgecap.pro
Business focus: AI portfolio financial analysis
Status: private beta buildout