SEAQR's primary mission is to accelerate the discovery process of novel life, phenomena, and processes in the ocean and atmosphere through a global network of AI-powered USVs. These USVs will be equipped with onboard anomaly detection AI so that we will immediately be alerted if/when something unusual is spotted. With this approach, we aim to revolutionize our understanding of these environments and provide unprecedented insights for science, industry, and environmental management.

SEAQR may discover new marine species, unusual atmospheric phenomena, unidentified aerial phenomena (UAP), changes in ocean currents and temperatures, harmful algal blooms, deep-sea geological activity, and emerging climate trends, among other significant findings.

SEAQR’s USVs are primarily designed for environmental monitoring, oceanographic research, maritime security, search and rescue missions, offshore energy operations, weather forecasting, and UAP detection and analysis. These versatile platforms enable continuous, autonomous monitoring of vast ocean regions.

Our services benefit a wide range of clients, including environmental agencies, oceanographic researchers, maritime industries, offshore energy companies, weather forecasting services, and government bodies responsible for coastal management and maritime security.

Our USVs will collect multi-modal, multi-spectral data, including IR and VIS video, ocean temperature, salinity, current speeds, wave heights, atmospheric conditions, chemical and biological indicators, high-resolution imaging (above and below water), and acoustic data.

SEAQR’s USVs will employ cutting-edge AI capable of real-time data analysis, anomaly detection, and predictive modeling. The AI system will be built to operate autonomously, manage complex tasks such as navigation and environmental monitoring, and make informed decisions based on sensor input. It will also support machine learning models for adaptive intelligence, improving performance as more data is collected.

SEAQR AI has diverse applications, including predictive maintenance, environmental monitoring, anomaly detection, autonomous navigation, climate research, search and rescue operations, and maritime security. Our AI algorithms will also provide natural language interaction capabilities, enabling stakeholders to interact with complex data more intuitively.

SEAQR will collect and use its own data through a global network of USVs, as well as third-party data from reputable sources such as NOAA. This combination provides a robust foundation for research and AI training.

SEAQR will ensure reliability through rigorous calibration, regular maintenance, and advanced data validation techniques. Our systems will also employ redundancy and cross-verification methods to maintain high data accuracy.

Absolutely. SEAQR aims to provide continuous, high-quality data on various ocean and atmospheric parameters. By tracking changes in ocean temperature, acidity, currents, and other factors, our USVs will make significant contributions to climate change research and ocean health monitoring.

Yes, many of SEAQR's team members are deeply interested in this subject. SEAQR recognizes the growing importance of UAP research in the scientific community. Recent governmental acknowledgments and testimonies have underscored the need for rigorous, data-driven investigation in this field. While our primary focus remains on oceanographic and atmospheric data collection, we are excited and committed to contributing to UAP science.

Our ocean USVs will be equipped with high-resolution cameras, infrared sensors, and sophisticated radar systems, enabling us to detect and track unusual phenomena in the ocean and atmosphere. Our AI will analyze this data in real time to identify potential UAP events for further investigation.

When a potential UAP is detected, the event will be logged, and all relevant data will be securely stored. Our AI will perform an initial analysis to rule out known phenomena. If the event remains unexplained, it will undergo rigorous review by our scientific team.

SEAQR adheres to scientific best practices when analyzing UAP data. If an anomaly is detected and then scientifically confirmed, all related data will be made freely available to the scientific community and the general public.

Yes, SEAQR is open to partnering with research institutions, government agencies, and scientific organizations to share data and expertise. Our goal is to contribute to the broader scientific effort to understand UAPs and other unknown phenomena. We are also keen to hear from members of the public with specialized technical skills, who may want to work with us.