CherithAI

Cherith Geospatial AI

Intelligence That Builds Nations. Data That Delivers Development.

Cherith Geospatial AI transforms satellite imagery and dynamic data layers into actionable intelligence that solves Africa's 80+ million unit housing deficit.

We show governments, developers, and here to build — and where not to.

The Problem

Traditional site identification takes months to years of manual surveying, wastes millions on poor locations, and relies on subjective, non-verifiable data. Sites are chosen based on politics rather than evidence. Billions are wasted on low-demand locations. Investors demand credible evidence — but none exists.

There is no centralized system to identify where need is greatest.

The Solution: AI-Powered Location Intelligence

Cherith combines satellite imagery, dynamic data layers, and proprietary AI scoring to create a prioritized, verifiable, and transparent ranking of where housing and infrastructure are needed most.

How It Works

Phase. What We Do. Output.

1. Satellite Imagery Analysis Detect roof types, street patterns, building infrastructure access Structured geospatial data

2. Dynamic Data Integration Overlay population density, land availability, price trends, infrastructure maps Multi-layer intelligence

3. AI Scoring Engine Calculate Demand, Feasibility, and Impact Scores for every location Priority rankings

4. Heat Map Generation Color-code locations from Red (Highest Urgency) to Green (Lowest Urgency) Actionable location intelligence.

The Cherith Advantage

Competitor. Strength. Weakness Cherith Advantage.

Google Earth Engine Powerful platform Requires coding; not housing-specific Housing-trained models; no-code output

ESRI (ArcGIS) Industry standard Expensive; complex; not AI-optimized AI-native; lower cost; African data

Planet Labs High-res imagery Provides data, not insights Actionable intelligence; ground-truthing

OpenStreetMap Free Incomplete in Africa AI validation; proprietary datasets

What Makes Cherith Different

· Housing-Specific AI Models — Trained specifically for African housing needs

· African-Centric Training — Trained on Lagos, Accra, Nairobi datasets

· Equitable Ground-Truth — Local youth validate; reduces bias; creates jobs

· Integrated Scoring — Demand + Feasibility + Impact = Priority Score

· Actionable Outputs — Heat Maps and recommendations, not raw data

· ESG-Aligned — Tracks environmental, social, governance metrics

· Cost-Effective — Designed for developing market budgets

· API-First — Can be licensed and integrated easily

· Proven — Validated by Africa's largest housing programme

Who We Serve

Segment. Entities. Revenue Potential

National Governments. 20+ $500K–2M each

State/Provincial Govt. 100+ $100–500K each

Commercial Developers. 200+ $50–200K each

Banks/DFIs. 50+ $100–500K each

NGOs/Dev Partners 100+ $50–150K each

International Investors. 50+ $100K–1M each

Our Roadmap

Phase. Period. Budget. Key Activities

1. Data Infrastructure. Months 1–6. $1.5M. Partnerships, data pipeline; team recruitment; cloud sever.

2. Model Development. Months 4–12. $2.0M AI training; algorithm tuning; validation

3. Local Validation. Months 10–18. $1.5M. Equitable Ground-Truth; youth training; field validation

4. Operational Deployment. Months 12–24. $2.0M. Platform integration; client training; national rollout

5. Commercialization. Months 24–60. $5.0M. Licensing; Pan-African expansion; exit preparation

Investment Highlights

Metric. Value.

Total Investment Required. $12–15 million

Equity Stake Offered. 15–30% (negotiable

Target Return (Equity IRR) 40–55%

Project IRR. 38%

Payback Period. 3.2 years

5-Year Revenue. $21.7M

5-Year ROI. 81%

Exit Valuation. $50–200M

What We're Building

✓ Africa's leading Geospatial AI platform

✓ A proven solution for a $70B market

✓ Recurring SaaS revenue with 75%-85% margins

✓ A prime acquisition target for global tech giants

✓ Measurable social impact (ESG/SDG aligned)

Why Partner With Us

Significant Compensation — Earn $500k–$1M+ based on your dataset size and complexity

Minimal Operational Overhead — We handle coordination, anonymization, and processing

Enterprise-Grade Security — All sensitive, personal, and customer-identifying info is completely scrubbed; original datasets deleted after processing

Full Data Ownership — You retain 100% ownership of your underlying data

Our Team

Core Team Requirements

Position. Skills. Experience.

CTO AI/ML: Geospatial; Cloud 10+ years; 5+ in leadership

Lead Data Scientist Computer Vision; Deep Learning 7+ years; 3+ in satellite AI

ML Engineers (x2) TensorFlow PyTorch; Python 5+ years

Data Engineers (x2) Big Data; Python; SQL; Spark 5+ years

Product Manager Geospatial; AI; Product Strategy 7+ years; 3+ in geospatial

Commercial Lead Sales; Licensing; Partnerships 10+ years; 5+ in tech

ESG Lead Sustainability; Community Engagement 7+ years; NGO experience

Advisory Board

Advisor Expertise

Chief Scientific Advisor AI; Computer Vision; Satellite

Urban Development Advisor Urban Planning; Housing Policy

Africa Tech Advisor Pan-African Tech Scaling

ESG Advisor Sustainability; Social Impact

Legal Advisor IP; Data Privacy; Contracts

Technical Partners

Partner Role

Google Earth Engine Satellite imagery; cloud

Planet Labs High-res satellite imagery

Research Universities Research; training; validation

Contact Us

CHERITH GEOSPATIAL AI

Joseph Luka Gaiya - CEO

Intelligence That Builds Nations. Data That Delivers Development.I

CHERITH Geospatial AI is an advanced, proprietary Location Intelligence Platform (LIP) that uses satellite imagery, artificial intelligence, and machine learning to identify, prioritize, and validate optimal locations for mass housing and urban development projects across Nigeria and Africa.

As a standalone Software-as-a-Service (SaaS) solution, CHERITH transforms raw geospatial data into actionable, verifiable intelligence—generating "Heat Maps of Urgency" that enable governments, developers, and investors to make data-driven, transparent, and equitable decisions about where to build.

CHERITH is designed to be scalable, transferable, and commercially licensable, positioning it as a standalone revenue-generating asset and a prime candidate for acquisition by major technology, satellite, and infrastructure companies.

If this vision resonates with you, come join us: