OceanHis provides BlueBox, an autonomous IoT sensor system that continuously measures temperature, pH, salinity, chlorophyll, and dissolved oxygen in marine environments and streams geo‑referenced data to a cloud platform. The platform stores, visualizes, and analyzes the data with machine‑learning models, offering certified, real‑time insights and API access for marine researchers, monitoring agencies, and resource managers.
Funding
Funding not disclosed
Founders
Product
Problem
Marine researchers and environmental managers often lack continuous, high‑resolution data on key oceanic parameters because traditional monitoring relies on sparse, manually operated stations or costly research vessels, leading to gaps in understanding sea‑water health and delayed response to ecological changes.
Solution
OceanHis offers BlueBox, an autonomous, plug‑and‑play IoT system that combines hardware and software to collect temperature, pH, salinity, chlorophyll, and dissolved oxygen measurements from both fixed and mobile deployments. Each sensor unit georeferences data and streams it in real time to a cloud platform where it is stored, visualized on web and mobile dashboards, and processed with proprietary big‑data pipelines, machine‑learning models, and AI analytics. The platform provides historical comparison and trend analysis, delivering certified, actionable insights that conform to ISO and UNESCO‑IODE quality standards. Users can access the data directly or share it via APIs, enabling rapid decision‑making for marine conservation, resource management, and scientific research.
Target Audience
Primary customers are marine research institutes, environmental monitoring agencies, and coastal resource managers that require continuous, high‑quality oceanographic data for assessment and decision support.
Features
- Stand‑alone, battery‑operated BlueBox hardware with plug‑and‑play sensor integration for temperature, pH, salinity, chlorophyll, and oxygen
- Real‑time geo‑referenced data transmission from both stationary and moving platforms
- Cloud‑based storage with web and mobile dashboards for live monitoring and visualization
- Proprietary big‑data framework that applies machine‑learning and AI algorithms to detect trends and anomalies
- Certification workflow adhering to ISO and UNESCO‑IODE standards, providing validated data quality
- API access for data sharing and integration with external analysis tools or reporting systems