Resilience360 provides an AI‑driven platform that digitizes the climate‑risk lifecycle for enterprises and public sector organizations. It ingests hyper‑local weather and asset data, applies machine‑learning models to generate real‑time risk scores and mitigation guidance for individual structures, facilities, and portfolios, enabling lenders, operators, and city planners to identify hidden vulnerabilities, reduce uninsured losses, and meet resilience KPIs.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises and public sector organizations often lack precise, real‑time insight into how extreme weather and climate change threaten their physical assets, supply chains, and infrastructure. This blind spot leads to uninsured losses, loan defaults, and operational disruptions that are difficult to anticipate and mitigate.
Solution
Resilience360 delivers an AI‑driven enterprise platform that digitizes the climate risk lifecycle—from data ingestion to risk scoring and mitigation guidance. The system ingests hyperlocal weather, event, and asset data, applies machine‑learning models to generate risk profiles for individual structures, facilities, and geographic zones, and presents actionable scores through a unified dashboard. Users can scan assets before financing, monitor real‑time exposure for data centers or factories, and conduct portfolio‑wide stress testing to prioritize resilience investments. By mapping climate stress at the roof‑level, the platform enables lenders, operators, and city planners to identify hidden vulnerabilities, reduce uninsured losses, and meet uptime or regulatory KPIs.
Target Audience
Primary customers include corporate risk officers, commercial lenders, asset managers, manufacturers, data‑center operators, and municipal planners who need granular climate risk intelligence to protect physical assets and financial exposures.
Features
- Hyperlocal climate risk modeling that combines real‑time event feeds with AI/ML risk profiles for specific assets and locations
- Automated asset scanning and scoring workflow to flag exposure before loan disbursement or procurement decisions
- Portfolio‑level exposure analytics that aggregate physical risk across multiple assets, regions, or business units
- Scenario‑based simulation tools for supply‑chain, data‑center, and manufacturing continuity planning
- Interactive dashboard with map visualizations, risk heatmaps, and KPI tracking for resilience initiatives
- API integration capabilities for lending platforms, enterprise risk management systems, and city‑planning tools