Nova Gov gives Philippine LGUs, city planning offices, and national agencies an AI-native intelligence layer connecting CLUP data, zoning ordinances, NAMRIA geospatial layers, and community input into unified, actionable decisions that comply with RA 7160 and national land use policy.
In November 2025, Naga City secured a ₱6.79M DEPDev grant and became the first LGU in the Philippines to deploy an AI-powered city planning system integrating PHIVOLCS, MGB, DPWH, and NAMRIA data into real-time, predictive governance. Their AI command center now handles flood forecasting, traffic analysis, and hazard screening in seconds tasks that take most LGUs weeks to complete manually.
Traffic flow analysis, hazard-risk screening for development sites, project delay detection, flood risk forecasting, and AI-powered citizen report triage all from one command center. Their system understands Tagalog, Bicolano-Naga, and Bisaya.
Philippine cities lose an estimated ₱3.5 billion daily to traffic congestion alone projected to exceed ₱5 billion/day by 2035. LGUs still doing manual CLUP reviews, hand-traced hazard maps, and paper-based permits are falling behind on SGLG compliance, DHSUD deadlines, and disaster preparedness.
From CLUP preparation to disaster risk zoning, Nova Gov integrates your LGU's spatial, demographic, and regulatory data and turns it into decisions aligned with national land use policy and HLURB/DHSUD standards.
Instantly query Comprehensive Land Use Plans, zoning ordinances, and land classification maps. Identify conflicts, assess reclassification requests, and model rezoning scenarios against HLURB/DHSUD guidelines.
RAG-poweredOverlay PAGASA typhoon tracks, PHIVOLCS fault lines, NAMRIA flood hazard maps, and storm surge zones onto land use decisions. Build DRRMP-aligned scenarios grounded in official Philippine hazard data.
NAMRIA-integratedIdentify suitable socialized housing sites compliant with RA 7279 (Urban Development and Housing Act). Assess informal settler family (ISF) concentration, displacement risk, and NHA resettlement criteria.
UDHA-alignedIngest LTFRB route data, MRT/LRT ridership, jeepney network maps, and traffic counts. Model road network changes, TOD corridors, and last-mile connectivity gaps across Philippine cities.
Real-time dataAggregate and analyze barangay assembly inputs, Sangguniang Panlungsod transcripts, and public hearing submissions at scale in Filipino, Cebuano, and other Philippine languages.
Multilingual NLPIndex the Philippine Development Plan, Regional Physical Framework Plans, IRRs, and local ordinances into a queryable knowledge base. Get instant, cited answers aligned with NEDA, DILG, and DHSUD requirements.
AuditableAI maps school gaps against child population, identifies congested schools running triple shifts, predicts dropout risk from poverty data, and plans safe walking routes to school helping LGUs keep every Filipino child in a classroom.
DepEd-alignedAI maps crime hotspots from PNP blotter data, identifies environmental risk factors dark alleys, abandoned lots, blind corners and generates optimal tanod patrol routes and CCTV/streetlight placement to prevent crime before it happens.
Predictive AIAI identifies optimal socialized housing sites near jobs and transport, maps ISF settlements for humane relocation under RA 7279, and connects street-dwelling populations with DSWD services, 4Ps enrollment, and temporary shelter facilities.
UDHA-alignedAI analyzes historical crash data, road geometry, blind curves, intersection design, and traffic flow to predict motorcycle crash hotspots before accidents happen. Automatically recommends speed bumps, guardrails, rumble strips, and signage placement.
Life-saving AIAI models human driving behavior identifying roads where speeding is habitual, time-of-day patterns, and high-risk rider profiles. Generates speed zone recommendations, optimal speed bump placement, and dynamic warning sign triggers based on real behavior data.
Predictive AIAI determines exactly where to place warning signs, pedestrian crossings, school zone markers, reflectors, and road barriers for maximum visibility and impact using approach speed data, sight distance calculations, road curve geometry, and time-of-day lighting analysis.
Optimized placementThese projections are based on peer-reviewed research on AI-assisted urban governance in comparable emerging economies.
From road deaths to food insecurity Nova Gov gives your LGU AI-powered intelligence for every dimension of community well-being.
The Philippines loses ₱105 billion annually to road crashes 4.1% of GDP. Most deaths are preventable with smarter road design, better sign placement, and predictive intervention.
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, Nova Gov 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.
Nova Gov 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.
Nova Gov 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.
Nova Gov 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.
Nova Gov 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.
Nova Gov 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.
Nova Gov 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.
Nova Gov 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 no unified urban intelligence layer. CLUPs expire unnoticed, zoning violations accumulate, and development projects stall for years with no oversight. Nova Gov gives every LGU a real-time urban planning command center, from barangay land use to provincial PDPFP alignment.
Tracks CLUP approval status, expiry dates, and DHSUD/HLURB compliance for every LGU. Alerts planning offices 18 months before expiry and auto-drafts the revision mandate.
Cross-references issued permits against CLUP zoning ordinances, flags violations in real time. Detects ISF encroachments, illegal commercial use in residential zones, and setback non-compliance.
Tracks all active urban development projects: TOD corridors, reclamation zones, post-conflict rebuilding, with budget utilization, progress %, and on-track/delayed/stalled status.
Analyzes current land use ratios vs. WHO and DHSUD targets. Identifies green space deficits, overcrowded residential zones, and industrial encroachment, with rezoning recommendations.
Live dashboard: hospital beds, school classrooms, road density, water coverage, and parks per capita, benchmarked against WHO targets and national standards per LGU.
Direct feed from NAMRIA geospatial data, PhilAtlas layers, and CPDO permit records into a unified planning map. Query any parcel, zone, or hazard overlay in natural language.
| LGU | Status | Approved | Expiry | AI Note |
|---|---|---|---|---|
| Quezon City | CURRENT | 2022 | 2032 | TOD corridor expansion in LDIP, aligned |
| Pasig City | CURRENT | 2021 | 2031 | Esplanade project on-track; full DHSUD compliance |
| Iloilo City | EXPIRING | 2014 | 2024 | Eco-Industrial Zone stalled: CLUP revision critical path |
| Manila | EXPIRED | 2006 | 2016 | 10 years overdue: HLURB compliance order issued |
| Marawi City | PENDING | — | — | Post-conflict master plan at 41% completion |
Query zoning layers, run scenario models, and review AI-generated analysis all in one interface built for how planners actually work.
Every answer is grounded in real data NAMRIA, PNP, DepEd, DILG, PAGASA. No hallucination. No guessing. Pick a question below.
Fill in your details and your LGU's numbers. Your personalized impact report appears instantly.
See how Nova Gov works with your LGU's actual data CLUP, zoning ordinance, NAMRIA layers, and CPDO records in a tailored 30-minute demo for Philippine planners.