CUMULUS is a cloud‑native coastal intelligence platform that consolidates sensor data into a governed, AI‑ready fabric, enabling teams to act on analytics, alerts, and decision briefs rather than raw measurements. Its ocean‑tuned AI and collaboration layers provide rapid integration of new sensor vendors—often in under a day—and extend storm surge forecasting windows by 48+ hours, helping operators protect communities and reduce operational costs.
Funding
$25K 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
Coastal operators and decision‑makers must collect data from many disparate sensors, public archives, and third‑party feeds, then spend extensive time cleaning and normalizing it before any analysis can occur. This fragmented workflow delays critical insights for storm‑surge forecasting, risk assessment, and resource planning.
Solution
CUMULUS is a cloud‑native platform that ingests streaming and historical coastal sensor data, automatically captures metadata, and applies built‑in quality‑control and normalization to create a governed, AI‑ready data fabric. The YSOK AI layer runs scenario engines, machine‑learning anomaly detection, and explainable analytics on the curated datasets, delivering alerts, decision briefs, and visualizations such as risk maps and yield scores. Results are accessible through role‑based dashboards, embeddable widgets, and APIs, enabling teams to act on actionable intelligence within hours rather than days. The modular architecture allows new sensor vendors to be integrated in under one day, reducing engineering effort and accelerating response times.
Target Audience
Primary customers are coastal risk and insurance analysts, hydrokinetic and offshore renewable developers, municipal resilience teams, and aquaculture operators who need timely, governed intelligence from heterogeneous ocean data sources.
Features
- Unified data fabric that streams and ingests historical coastal measurements, automatically captures metadata, and enforces normalization, QC, and retention policies for compliance.
- Secure workspaces and partner APIs that provide traceable, governed access to both proprietary sensors and public datasets (NOAA, USGS, ESA, etc.).
- YSOK AI scenario engines for risk modeling, hydrokinetic yield estimation, and resilience planning, delivering explainable outputs for underwriting, permitting, and policy decisions.
- Machine‑learning layers that flag anomalies, events, and opportunities in real time, extending storm‑surge forecast windows by 48+ hours.
- Role‑based dashboards, alerts, and embeddable widgets that present concise decision briefs to scientists, mariners, civic leaders, and residents.
- Exportable API and data feeds that integrate with underwriting systems, SCADA, grant management, and other enterprise workflows.
- Rapid sensor‑vendor onboarding capability (≤1 day) through a modular integration framework, minimizing custom engineering effort.