All-source monitoring
Geofence assets and continuously collect satellite, weather, environmental, public-source, cyber/OT, logistics, local incident, carrier, and asset-owner signals.
All-source infrastructure risk intelligence for insurance
Argovis monitors risk as fast as infrastructure risk changes.
A dynamic insurance decision-support layer for P&C carriers, reinsurers, brokers, captives, and self-insured infrastructure owners. Argovis fuses asset data, satellite imagery, weather, environmental feeds, OSINT, cyber-physical signals, incident datasets, and policy terms into underwriting-ready action.
Insurance decision support for assets whose risk changes faster than underwriting cycles.
Argovis sits between exposure intelligence, underwriting, risk engineering, actuarial pricing, portfolio management, and reinsurance. It supplies explainable risk movement, not automated underwriting authority.
Validated risk fusion
Score every signal for source reliability, corroboration, recency, location confidence, asset relevance, and connection to policy terms.
Insurance translation
Convert risk movement into estimated loss, payout exposure, PML shift, technical premium indication, sublimit guidance, confidence score, and recommended action.
End-to-end flow
Argovis Workflow
All-source infrastructure risk intelligence for P&C insurance, rebuilt as an editable operating flow from source signal to underwriting action.
Data Sources
- Satellite Imagery
- Weather Feeds
- Local News & Social / OSINT
- IoT / Sensor Data
- Threat Intelligence
- Policy & Asset Data
- Geospatial / Map Data
- Environmental & Hazard Feeds
Argovis continuously collates structured and unstructured risk signals.
Ingestion & Normalization
Argovis Data Fabric
- Ingest
- Clean
- Normalize
- Geolocate
- Time-stamp
- Validate
- Confidence Score
Transforms fragmented signals into a unified, insurer-ready data layer.
Asset & Policy Context
Refinery / port / power plant / pipeline
Asset Type
Location
Insured Value
Business Interruption Value
Coverage / Exclusions
Current Premium
Mitigation Posture
Risk signals are anchored to insured assets and existing policy terms.
Risk Modeling & Scenario Engine
- Threat Scenarios
- Weather & Environmental Exposure
- Drone / Conflict / Security Risk
- Operational & Supply Chain Risk
- Similar Incident Comparison
- Mitigation Simulation
- Estimated Payout Exposure
- Composite Risk Score
Argovis models how changing conditions affect probability, severity, and payout exposure.
Recommendations
- Repricing Recommendation
Modeled technical premium vs. current premium - Mitigation Actions
What lowers risk below threshold? - Underwriting Action
Renew / Reprice / Require mitigation / Exclude / Refer
Delivery & Users
Portal Dashboard
API
Portfolio Monitor
Underwriters
Risk Engineers
Brokers
Reinsurers
Self-Insured Asset Owners
Executives
Outputs support underwriting, renewal, portfolio monitoring, and risk engineering decisions.
Argovis turns all-source risk signals into insurer-ready risk scores, mitigation guidance, and premium repricing decisions for critical infrastructure.
Agentic AI thesis
Agents turn scattered external data into governed insurance evidence.
The next insurance advantage is not another static dashboard. It is a managed workforce of AI agents that collects evidence, checks source quality, normalizes data to asset-level exposure, updates models, tests scenarios, and prepares underwriting recommendations every hour of every day.
The output is an evidence trail: raw signal, corroborated signal, insurance-relevant trigger, model impact, confidence level, and recommended underwriting action.
Built for the risk universe around critical assets.
The initial wedge remains drone, sabotage, and geopolitical risk, but the full platform monitors all available signals that can change expected loss, BI exposure, PML, reserves, and renewal pricing.
Drone activity, sabotage, terrorism, war-adjacent events, civil unrest, perimeter breaches, and comparable conflict-zone losses.
Storm tracks, wind, hail, flood, wildfire, drought, heat, snow load, and asset-level vulnerability to physical damage and BI.
Pollution releases, chemical plumes, water contamination, fires, explosions, maintenance signals, outage reports, and PML movement.
ICS/SCADA alerts, ransomware indicators, supplier incidents, port disruption, pipeline interruption, sanctions, and contingent BI.
Make infrastructure risk measurable, explainable, and actionable.
Use Argovis to convert all-source infrastructure signals into validated risk scores, premium movement, mitigation requirements, confidence levels, and carrier-ready recommendations.