BUGSAi equips coastal communities and agencies with real-time, data-driven insights for ecosystem management, risk reduction, and evidence-based decision-making. It can estimate biodiversity levels, identify high-risk fishing zones, and provide actionable analytics for fisheries planning and conservation strategies—built to be locally adaptable and scalable.
Track devices, boats, and activity sessions to build reliable operational datasets.
Visualize routes and zones; support mapping-driven insights for governance and planning.
Use AI models to estimate risk levels, trends, and biodiversity-related indicators.
Catch logs by species and gear with analytics-ready aggregation and reports.
Integrate weather data to support safer fishing operations and better planning.
Top species, top gear, top fisherman/devices, and monthly trend summaries.
Evidence-based decision support for LGUs, agencies, and coastal program teams.
Built for local adoption, training, and expansion across municipalities and sites.
Use the Login button above to access the production dashboard.
These milestones reflect BUGSAi’s readiness for scaled deployment, institutional collaboration, and stronger support for sustainable fishing and biodiversity conservation programs.
BUGSAi is designed for partnerships—LGUs, fisheries offices, community organizations, and research institutions. Collaboration can include field deployments, training, data sharing, and policy-relevant analytics outputs.
We can set up a demo, define scope (municipality/barangay), and generate baseline reports.






For partnerships, pilot deployments, research collaboration, and technical inquiries, feel free to reach out through the official channels below.