We start with 1,632 Philippine LGUs. Disaster risk, crash prediction, crime prevention, housing intelligence, and SGLG compliance — all AI-powered, all in real time. The Philippines is the proof of concept. The world is the market.
This is the actual NovaGovAI interface. Search any Philippine city or province, explore data layers, click zones on the map, and ask AI anything about your LGU.
Watch NovaGovAI's 14 AI agents process real Philippine data across 1,632 LGUs — simultaneously. Click any node to inspect its intelligence feed.
From CLUP preparation to disaster risk zoning, NovaGovAI integrates your LGU's spatial, demographic, and regulatory data — and turns it into decisions aligned with national land use policy and HLURB/DHSUD standards.
From road deaths to food insecurity — NovaGovAI gives your LGU AI-powered intelligence for every dimension of community well-being.
The Philippines recorded 31,258 road crashes in 2024 — costing ₱105 billion or 4.1% of GDP. The majority are preventable with smarter road design, predictive hotspot mapping, and AI-optimized infrastructure placement.
AI analyzes PNP-HPG crash data, road geometry, lighting, and weather to predict where motorcycle crashes will happen next — and what infrastructure to build.
Maps speeding patterns by road, time-of-day, and day-of-week — recommends optimal speed bump placement, chicanes, and road narrowing.
Places signs based on approach speed, sight distance, curve radius, and glare angles — not guesswork. Generates barangay-level installation work orders.
Identifies where pedestrians are at highest risk near schools, churches, and markets — recommends raised crosswalks, bollards, and flashing beacons.
Instead of waiting for incident reports, NovaGovAI uses AI to identify where crimes are most likely to occur — and recommends lighting, patrol routes, and infrastructure to prevent them.
AI processes PNP blotter data to identify crime hotspots by type, time, and location — generating predictive heat maps updated weekly.
Cross-references crime hotspots with unlit road segments — prioritizes streetlight installation by estimated crime reduction per peso spent.
AI recommends optimal CCTV placement covering maximum high-risk zones — with cost-benefit analysis for limited LGU budgets.
Dynamic patrol routes that shift based on predicted crime windows — maximizing PNP patrol coverage with existing personnel.
NovaGovAI identifies the best locations for socialized housing, tracks ISF settlements, and ensures relocation sites have access to jobs, transport, and services.
AI scans available government land and idle lots — ranks them by proximity to jobs, transport, schools, and distance from flood/fault hazards.
Maps every informal settler concentration using satellite imagery and CBMS data — profiling each by risk exposure, population, and UDHA compliance.
Scores every potential housing site by 30-minute commute radius to employment zones — preventing "dead-end" relocations that fail families.
Auto-generates housing program applications pre-loaded with LGU's actual data — aligned with NHA, DHSUD, and RA 7279 requirements.
NovaGovAI maps classroom shortages, identifies out-of-school youth, and helps LGUs target education resources where they'll have the highest impact.
AI cross-references DepEd enrollment data with school capacity to identify which barangays need new classrooms, teachers, or school sites.
Maps schools with no internet access against DICT connectivity programs — generates DICT applications with GPS coordinates and enrollment data.
Identifies barangays with highest OSY concentration using PSA and DepEd data — recommends ALS centers, Brigada Eskwela targets, and Tulong Dunong allocation.
Auto-checks LGU education performance against SGLG indicators — generates compliance reports and flags deadlines for DepEd and DILG submission.
NovaGovAI helps LGUs optimize their Barangay Health Center network, predict disease outbreaks, and ensure PhilHealth compliance — bringing healthcare equity to the last barangay.
Identifies barangays with no BHC or RHU within 5km — scores by population, maternal mortality rate, and PHC standards compliance.
AI monitors DOH surveillance data, weather, and population density to predict dengue, leptospirosis, and respiratory illness outbreaks 2 weeks ahead.
Predicts demand for essential medicines by season and disease trend — prevents stockouts at BHCs with smart reorder scheduling.
Monitors PhilHealth membership rates by barangay — identifies uninsured household clusters and generates enrollment drive targets.
NovaGovAI maps water access gaps, monitors water district performance, and helps LGUs secure DPWH and DILG funding for waterworks projects.
Maps Level I, II, and III water access by barangay — identifies gaps against NWRB standards and WHO targets for safe water access.
AI predicts aging pipe failures using maintenance records and pressure data — prioritizes replacement by leak probability and affected population.
Alerts health officers when flood events correlate with historical waterborne disease spikes — activates water quality testing protocols.
Auto-generates SALINTUBIG and PAMANA grant applications using LGU's actual NWRB and PSA water data.
NovaGovAI identifies where jobs are and where workers aren't — optimizing zoning, TESDA placement, and economic zone planning to bring livelihoods where people live.
Cross-references PSA employment data with residential zones — identifies municipality mismatches and recommends enterprise zone rezoning.
Predicts which skills will be in demand in each LGU's economy 2 years ahead — aligns TESDA training slots with actual labor market needs.
Identifies the optimal barangays for economic zone, agri-industrial, and tourism development based on connectivity, hazard risk, and labor supply.
Monitors outcomes of DOLE and LGU livelihood programs — measures employment retention, income increase, and recommends program adjustments.
NovaGovAI monitors flood risk, waste compliance, air quality, and illegal dump sites — giving LGUs the intelligence to achieve DENR and RA 9003 compliance.
AI integrates PAGASA rainfall forecasts, watershed data, and drainage capacity to predict flood-prone zones 48 hours ahead — activates pre-emptive evacuation.
Identifies LGUs without MRF, open dump sites, and incomplete waste segregation — generates DENR compliance action plans with cost estimates.
Tracks DENR AQMS data and correlates with vehicle density, industrial zones, and wind patterns — alerts health officers when AQI exceeds safe thresholds.
Maps tree cover change using satellite imagery — supports LGU greening programs and DENR urban forest compliance reporting.
NovaGovAI monitors rice price volatility, tracks nutrition indicators by barangay, and helps LGUs optimize agricultural support — ensuring no community goes hungry.
Monitors DA and PSA rice prices in real-time — alerts LGUs when price spikes threaten food security and triggers buffer stock deployment.
Maps FNRI and OPT nutrition data by barangay — identifies clusters with critical stunting rates for targeted feeding programs and Malasakit allocation.
AI analyzes PhilAtlas soil data, rainfall patterns, and market prices to recommend the highest-value crops for each municipal agriculture zone.
Identifies post-harvest loss hotspots using DA data — recommends cold chain investments, farm-to-market road priorities, and NFA support allocation.
The Philippines has the highest rabies mortality in Southeast Asia. Every LGU is legally required to implement an Animal Population Management program under RA 9482 — but none have AI tools to do it. NovaGovAI fixes that with barangay-level stray tracking, vaccination coverage monitoring, and automated compliance reporting.
AI analyzes CCTV footage and field worker mobile reports to count and map stray dog density by barangay in real time — giving LGUs a number to act on instead of guesses.
Each vaccinated dog is logged with GPS coordinates and a tag ID. The system calculates coverage percentage per barangay and alerts when any zone drops below the WHO's 70% herd immunity threshold.
Combines bite incident reports from DOH, vaccination coverage gaps, and stray density to generate a live rabies risk score per zone — enabling LGUs to pre-position vaccines and response teams before outbreaks occur.
Generates the most efficient daily routes for vaccination and capture teams by zone — same logistics AI used in food delivery, applied to animal population control.
Tracks Trap-Neuter-Return outcomes per barangay, models long-term population reduction curves, and recommends when to intensify TNR versus vaccination campaigns for maximum impact per peso.
Auto-generates the DILG and DA-BAI compliance reports LGUs are legally required to submit under the Anti-Rabies Act — eliminating weeks of manual data consolidation every quarter.
Every LGU is legally required to maintain a Disaster Risk Reduction and Management Plan under RA 10121 — but most are outdated documents sitting in a drawer. NovaGovAI turns PAGASA, PHIVOLCS, and MGB hazard data into a live, AI-maintained DRRM plan that updates automatically when new data arrives.
Combines MGB geohazard maps, NAMRIA elevation data, and PAGASA rainfall projections to generate a real-time flood risk score for every barangay — updated after every typhoon event.
AI models which roads flood first and routes evacuation flows to the nearest safe shelters with available capacity — giving MDRRMO teams a live operational map instead of a static plan.
Predicts which barangays will need food packs, rescue boats, and medical kits 48 hours before landfall — so LGUs pre-position assets instead of reacting after impact.
Produces a RA 10121-compliant DRRM Plan document automatically from live hazard data, population figures, and past incident reports — eliminating months of consultant fees per update cycle.
Field workers log damage via mobile app; AI aggregates into a NDRRMC-formatted report in minutes instead of weeks — accelerating DSWD relief fund releases.
Scores each barangay on long-term climate exposure using PAGASA projection data — enabling LGUs to prioritize infrastructure investments where risk is growing fastest.
RA 9003 requires every LGU to have an approved 10-year Solid Waste Management Plan and divert at least 25% of waste from disposal. DENR is actively penalizing non-compliant cities. NovaGovAI monitors compliance in real time and generates the documentation LGUs need to avoid sanctions.
Tracks daily garbage collection volume by barangay using weighbridge data and driver mobile logs — giving LGUs accurate tonnage figures for the first time instead of estimates.
Calculates the LGU's actual waste diversion rate against the RA 9003 25% target — flagging which material streams (plastics, organics, paper) are dragging compliance below the threshold.
Projects when each sanitary landfill or controlled dumpsite will reach capacity based on current fill rates — giving mayors 12–18 months of lead time to site and permit alternatives.
Identifies the optimal location for Materials Recovery Facilities by balancing collection route distances, land availability, and projected waste volumes by zone.
Produces a RA 9003-compliant Solid Waste Management Plan document using the LGU's actual waste data — replacing the consultant-written plans that cost ₱500K+ and go stale immediately.
Real-time compliance scorecard aligned with DENR EMB audit criteria — so LGUs know exactly where they stand before inspectors arrive and have documentation ready.
The Philippines has the highest teenage pregnancy rate in Southeast Asia. Every LGU has a mandate under RA 10354 (Responsible Parenthood Act) to provide reproductive health services. NovaGovAI maps high-risk barangays, optimizes health resource placement, and tracks program outcomes — turning a national crisis into a solvable local problem.
Cross-references PSA birth registration data, poverty incidence, school dropout rates, and DSWD Listahanan records to identify barangays with the highest adolescent pregnancy concentration.
Maps which high-risk barangays lack access to reproductive health services within a walkable distance — prioritizing where to open new BHS stations or assign Barangay Health Workers.
Identifies schools where dropout rates spike in grades 9–11 — correlating with pregnancy incidence to recommend targeted DepEd and DSWD intervention timing before girls leave school.
Optimizes Barangay Health Worker coverage so the highest-risk households have the most frequent contact — maximizing the impact of existing DOH and LGU health personnel.
Tracks year-over-year adolescent birth rates by barangay against LGU intervention spending — showing which programs are working and which should be reallocated.
Auto-generates the Responsible Parenthood and Reproductive Health compliance documentation required by DOH and the Commission on Population and Development (PopCom).
Every LGU runs a Barangay Drug Clearing program under PDEA and DILG guidelines — but most have no data infrastructure to measure outcomes. NovaGovAI maps drug-affected barangays, optimizes placement of Bahay Pagbabago centers, and tracks recovery program effectiveness to help mayors demonstrate results.
Integrates PDEA Barangay Drug Clearing data with PNP blotter reports and DSWD case files to map drug prevalence by zone — giving LGUs a verified baseline instead of anecdotal reports.
AI identifies optimal locations for community-based rehabilitation centers by balancing catchment population, transport access, and proximity to DSWD social workers and health centers.
Tracks surrender, treatment, and aftercare completion rates per barangay — measuring actual recovery program outcomes so LGUs can allocate budgets to what works.
Scores program participants by relapse risk factors — poverty index, family stability, employment status, prior record — enabling social workers to prioritize follow-up visits before relapse occurs.
Tracks the LGU's Barangay Drug Clearing Program status against PDEA and DILG MC 2018-158 criteria — keeping mayors compliant and documentation audit-ready at all times.
Models the relationship between poverty, unemployment, and drug use at the barangay level — recommending which livelihood and education programs reduce drug demand most cost-effectively.
Every answer is grounded in real data — NAMRIA, PNP, DepEd, DILG, PAGASA. No hallucination. No guessing. Pick a question below.
Enter your LGU's operating parameters to generate a confidential, data-driven impact projection — including projected cost savings, staff efficiency gains, and grant compliance value.
Our team will demonstrate NovaGovAI using your LGU's actual data — CLUP, zoning ordinance, NAMRIA layers, and CPDO records — in a structured 30-minute technical briefing for city planners, mayors, and CPDO directors.