// PLATFORM
The Emergent Risk Intelligence Platform
Four core layers — data fusion, factor discovery, portfolio integration, and blueprint studio — working together to detect, quantify, and hedge risks that traditional models miss.
// 01 DATA FUSION LAYER
Agentic Data Fusion
Fuses structured market data, fundamentals, SEC filings, patent records, news sentiment, and academic research into a unified entity graph. No data silos — entities are normalized via symbology mapping into a single source of truth.
Structured Data
Market data, fundamentals, risk factors, holdings — all normalized and linked
Unstructured Data
News, regulatory text, filings, earnings calls, research papers, social sentiment
Alternative Data
Patent filings, consortium memberships, supply chain networks, CPC codes
Market Data
Fundamentals
SEC Filings
Patent Data
News & Sentiment
Academic Research
Trust Score Quality Gate
Sharpe ratio, information ratio, and risk-adjusted returns against benchmark
Independence from existing Fama-French and Barra factors via decomposition
Herfindahl index and top-N weight limits to prevent single-name dominance
Rolling window consistency, regime-change resilience, and bootstrap significance
ADV capacity analysis, market impact estimation, and execution feasibility
// 02 FACTOR DISCOVERY ENGINE
Emergent Factor Discovery
AI agents scan for risk clusters in real-time. Themes are scored on novelty, momentum, breadth, and economic impact. The engine automates factor definition end-to-end — from universe selection through entity extraction, classification, scoring, aggregation, and code generation.
Real-Time Risk Clustering
AI agents continuously monitor data streams, detecting emerging themes and scoring them on novelty, momentum, breadth, and economic impact.
Automated Factor Definition
Six-stage pipeline: universe selection, entity extraction, classification, scoring, aggregation, and code generation. No manual intervention required.
Fama-French Decomposition
Every factor is decomposed against known risk premia. Bootstrap significance testing ensures only statistically meaningful factors pass the quality gate.
Trust Score (5 Components)
Performance, orthogonality, concentration, stability, and liquidity. Only factors that clear all five gates ship to production.
// 03 PORTFOLIO INTEGRATION
Portfolio Integration & Optimization
Connect to your existing portfolio and risk management systems. ARKA computes exposures, decomposes risk across emergent factors, and generates minimal-impact hedges ready for execution.
Connect to Existing Systems
Plug into your portfolio management, risk, and order management systems. Import holdings, benchmarks, and constraints via API or file upload.
Exposure & Risk Decomposition
Measure portfolio exposure to each emergent factor and sub-factor. Decompose risk into traditional and ARKA-discovered components side by side.
Minimal-Impact Hedge Generation
Generate optimal hedge candidates across asset classes — index futures, sector ETFs, and options structures — with minimal tracking error and turnover.
Push to OMS
Approved hedges are formatted and routed to your order management system for execution. Full audit trail from signal to trade.
Tariff Shocks
Model cascading tariff impacts across supply chains. Identify exposed sectors, quantify revenue-at-risk, and generate hedges before consensus reprices.
Sector Rotation
Detect early rotation signals from flow data, earnings revisions, and macro indicators. Build dynamic allocation factors that adapt in real-time.
Regulatory Changes
Track pending legislation, agency rulemakings, and enforcement actions. Score companies on regulatory exposure and compliance readiness.
ESG & Climate
Construct forward-looking ESG factors from patent filings, emissions data, and supply chain analysis. Go beyond backward-looking ESG ratings.
// 04 BLUEPRINT STUDIO
Blueprint Studio
For teams that want custom workflows without code. Drag-and-drop factor construction with multi-step pipelines, built-in playbooks, and scenario modeling — all backed by the same engine that powers the API.
Drag-and-Drop Factor Workflows
Visually compose factor pipelines by connecting data sources, transformations, scoring functions, and output nodes on a canvas.
Multi-Step Pipelines & Playbooks
Chain multiple pipeline stages with branching logic. Start from pre-built playbooks for common scenarios and customize as needed.
Scenario Modeling
Tariff shocks, sector rotation, regulatory changes, ESG screening — model any scenario with configurable parameters and instant backtesting.
Team Collaboration
Share pipelines across your team. Version control, approval workflows, and audit trails built in. From research to production in one tool.