$1.5M – $2.5M Seed Round  ·  2026  ·  Zentarai Labs

NovaGovAI

The AI operating system for Philippine local government — and the developing world after it.

zentarailabs.com  ·  novagov.tech

1,632 LGUs nationwide
₱2.1T infrastructure gap
14 AI agents live
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1,632
LGUs · Philippines
The Problem

Philippine LGUs are
governing blind.

31,258
Road crashes in 2024
No AI crash prediction. Hotspot analysis is still done manually — when it happens at all.
1.65M
Crimes per year
No predictive policing infrastructure. PNP resources are reactive, never pre-positioned using pattern intelligence.
4.5M
Families in substandard housing
Informal settler communities remain unmapped. Relocation programs run on outdated census data years behind reality.
₱43B
Wasted annually
Budget misallocation from manual planning with no optimization layer. Zero AI in the procurement cycle.

"Most LGUs still use spreadsheets and printed flood maps for disaster risk reduction — technology that is a decade behind where it needs to be."

— DILG 2024 LGU Capacity Assessment Report
The Solution

One platform.
Every crisis. Every LGU.

NAMRIA PAGASA OCD
Disaster Risk & Flood Mapping
PNP-HPG DPWH LTO
Crash Hotspot Prediction
PNP DILG BJMP
Predictive Crime Prevention
DHSUD NHA DSWD
ISF & Housing Intelligence
DepEd CHED TESDA
Education Gap Analysis
DILG HLURB NEDA
CLUP & SGLG Compliance
🔒 Moat Native Filipino AI agents · Pre-integrated with 14 PH government data feeds · DICT & DILG partnerships · On-premise deployment for classified data
NAMRIAPSAPAGASA PHIVOLCSPNPDPWH DepEdDILGDHSUD NHADSWDDOH MGBNEDA
Platform

Search any LGU.
AI does the rest.

01
Search

Type any city, municipality, or province. NovaGovAI instantly retrieves live geospatial and statistical data for that jurisdiction — no setup required.

02
Analyze

14 AI agents cross-reference data from NAMRIA, PSA, PNP, PAGASA, DepEd, and DILG — surfacing risks, gaps, and budget opportunities in seconds.

03
Act

Export PDRRMP-compliant reports, generate BAC procurement documents, and produce executive briefings ready for council presentation — instantly.

No training required. Built for non-technical LGU staff — from the mayor's office to the planning department.
Municipalities (4th–6th)
₱20K /mo
Cities (1st–3rd class)
₱100K /mo
Provinces (82 total)
₱150K /mo
Highly Urbanized Cities
₱300K /mo
Business Model

Recurring government
contracts. High retention.

Revenue Streams
65%
Annual SaaS Subscriptions
Tiered by LGU income class · ₱20K–₱300K/mo · auto-renewing
20%
Implementation & Onboarding
2–4 week deployment · data integration · staff training
10%
Grant-Funded Deployments
World Bank, ADB, DEPDev channels · full cost recovery
5%
API & Data Licensing
NGOs, academic institutions, national agencies
Unit Economics
Average Contract Value
₱600K ARR
Per LGU · blended avg across income classes
Customer Acquisition Cost
~₱120K
Gov't sales cycle · 60–90 days avg
LTV / CAC Ratio
15×
Based on 3-year avg contract tenure
Government contracts structurally renew. Once data integrations are live and staff trained, switching cost is prohibitive — LGU churn projected at <5%.
Market Opportunity

₱2.1T in annual government spending.
Little AI penetration.

₱81B
Addressable annual savings if all 1,632 LGUs adopt NovaGovAI
SAM — Serviceable Market
₱800M ARR
1,632 LGUs + 82 provinces. Tiered ₱20K–₱300K/month by income class.
TAM — Total Addressable
$8.4B by 2028
ASEAN govtech market growing at 14% CAGR. Philippines, Indonesia, and Vietnam are primary expansion markets.
Beachhead — Year 1
40 LGUs
Concentrated in Bicol Region and BARMM — high disaster risk, active DILG engagement, established relationships.
Why Now
  • 🏛 DICT Digital Philippines 2030 — gov mandate for LGU digitization
  • 💰 World Bank & ADB funding ₱180B+ for smart city infra
  • 🤖 LLMs now powerful enough for real-time government analysis
  • 📋 SGLG compliance pressure hitting all 1,632 LGUs simultaneously
Comparable Companies
  • Palantir — $65B market cap · AI for US/EU government
  • Tyler Technologies — $22B · GovTech SaaS for US cities
  • NovaGovAI — first mover across 1,600+ Philippine LGUs
Year 1 Target
₱18M ARR
40 LGUs signed
Year 2 Target
₱96M ARR
200 LGUs + 20 provinces
Year 3 Target
₱360M ARR
500+ LGUs · Series A raised
Exit thesis:  Tyler Technologies trades at 12× ARR. At ₱360M ARR (~$6M USD), that's $72M+. Full ASEAN deployment pushes acquisition target to $500M–$1B by Year 5.
Traction

Naga City
went first.

Case Study · Naga City, Camarines Sur
First LGU in the Philippines to deploy AI-powered city planning

In November 2025, Naga City secured a ₱6.79 million DEPDev grant — the first Local Government Unit in the Philippines to fund an AI-powered governance platform. Using NovaGovAI, Naga's planning office now runs flood forecasting, traffic analysis, and hazard screening in seconds. These were tasks that previously required staff weeks to complete manually, often relying on outdated data. The deployment validated our core thesis: LGU planners adopt AI immediately when it eliminates friction from compliance-heavy workflows.

1 Pilot LGU
Fully deployed and live in production
₱6.79M
Government grant secured — November 2025
2–4 weeks
Average onboarding time per LGU
₱2.88M ARR
Pipeline value — 12 LGUs × ₱20K/mo × 12
12 LGUs in active pipeline · 3 demos scheduled this month · Series A target at 40 LGUs signed
Team

Built by people who
understand government.

LL
Landon Little
CEO & Founder
Product vision, government partnerships & LGU market strategy. Led Naga City deployment — first AI-powered LGU in the Philippines. Building the AI standard for ASEAN government.
CTO
CTO — Recruiting
Chief Technology Officer
ML engineer · PH gov data APIs · Smart city or GovTech background preferred. Funded role — recruiting now post-seed.
Strategic Advisors
  • 🏛  Former DILG senior official
  • 📡  DICT Digital Philippines desk
  • 🌏  World Bank smart cities advisor
  • + 2 advisor seats open for lead investors
Unfair Advantage
Live production deployment at Naga City gives us data, government trust, and a reference customer that no competitor can replicate from scratch.
Investor Opportunity
Lead investor receives board advisory seat + co-marketing with DILG partnerships. We are raising once — Series A targets $15M in 2028.
Seed Round · 2026

Raising $1.5M – $2.5M USD
₱85.5M – ₱142.5M @ ₱57/USD · BSP Apr 2026

to govern the world's developing nations with AI.

★ Phase 1 · Now — Yr 1–2
Philippines
1,632 LGUs · All 17 regions · DICT & DILG national partnerships · Become the AI governance standard for every Philippine city and municipality
40 LGU contracts ₱800M ARR potential
Phase 2 · Yr 2–4
Southeast Asia
Indonesia · Vietnam · Cambodia · Myanmar
Phase 3 · Yr 4–6
South America
Brazil · Colombia · Peru · Ecuador
Phase 4 · Yr 6–10
Africa
Nigeria · Kenya · Ghana · Rwanda
Use of Funds — $1.5M–$2.5M USD
30%
Engineering & AI Platform Scaling
Build AI agents, ML models & core dashboard
20%
Gov't Sales & LGU Partnerships (PH)
Pilots, sales team, on-the-ground ops
15%
SEA Entry — Indonesia, Vietnam, Cambodia
Localize product, secure first regional clients
15%
Data, Compliance & Legal
SEC · NPC · DICT accreditation
20%
Operations & Core Team
Salaries, infra hosting, finance & admin
Invest in the infrastructure layer of Southeast Asian government
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novagov.tech
zentarailabs.com
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