Built Futures Atlas

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Built Futures Atlas
AIDataBuilt EnvironmentAtlas
Investor deck

African city stories,
made legible

An urban and rural intelligence platform. Photos. Narratives. AI clustering. Spatial insight.
AI
Spatial intelligence
Data
Ground truth observations
Built Environment
Africa first platform

The Problem

Bad inputs

Cities and rural areas are planned with thin, top-down data: census counts and satellite imagery, rarely what residents actually experience block by block.

Hidden signals

Residents see risk, workarounds and value first: a blocked drain, an informal bridge, a shortcut that saves twenty minutes, long before any survey captures it.

Broken feedback

Lived experience rarely shapes design decisions. It gets collected in one-off consultations, then shelved, and it doesn't compound into reusable evidence.

Costly blind spots

Poor context leads to bad planning and weak capital allocation: infrastructure gets built where it's easiest to plan, not where it's most needed.

What We Built

A data and AI platform for African built environments.
Collects photos and short narratives.
Tags, clusters and maps observations.
Turns lived experience into usable evidence.
Serves planners, designers and institutions.
Input
Snapshots
Layer
AI tagging
Output
Maps + data
Use case
Better decisions

How It Works

01.
Capture
Photo + short text
02.
Structure
Prompt by place, issue, actor
03.
Analyze
ML clustering and pattern detection
04.
Deploy
Dashboards, reports, archives
Core question at Brikicho 2026
What condition in the built environment has caught your attention, and who is responsible for it?

Market Size

TAM · Smart cities & urban tech, Africa
$1.34B → $2.36B
2024 → 2029, ~12% CAGR
SAM · Geospatial & spatial data analytics, Africa
$0.28B → $0.39B
2025 → 2030, ~7% CAGR
SOM · East Africa beachhead, Yr 1–3
$250K–$750K
Illustrative estimate (see note below)
Why now, in numbers
Africa's urban population: 722M in 2026 (45.6% of the continent), on track to double to 1.4B by 2050.
SOM is a bottom-up assumption (institutions across East Africa's beachhead cities × estimated commissioned-study spend), not a published figure; to be validated with pilot customers.
Sources: Statista Market Insights, "Smart Cities – Africa"; Mordor Intelligence, "Africa Geospatial Analytics Market"; Worldometer, "Africa Population 2026" (UN-based projections).

Beachhead Market

Clients
Urban & rural researchers
Faster field insight.
Clients
Design and planning firms
Better local intelligence.
Clients
Foundations and cities
Sharper programme design.
Initial wedge
Architecture, urban and rural research, civic knowledge.
Expansion path
Insurance, housing, climate and infrastructure.

Why No One's Done This Yet

Adjacent · Physical design
Kounkuey Design Initiative

Nonprofit participatory design practice building "Productive Public Spaces" across the US, Africa and Latin America. Deep community trust, but the output is physical infrastructure, not a reusable dataset or AI layer.

Source: kounkuey.org
Adjacent · Process toolkit
HerCities (UN-Habitat)

Global digital toolbox (with the Shared City Foundation) supporting girls' participation in urban planning: checklists, templates and workshops. Process-oriented, not Africa-specific, and not built for ground-truth data capture or pattern detection.

Source: unhabitat.org, "Her City" initiative
The Opportunity
Built Futures Atlas

The only platform pairing narrative field capture with AI clustering to turn lived experience into a structured, reusable, African-specific civic dataset, not a one-off project, not a global template.

Business Model

Data products
Neighbourhood datasets and briefs.
~$2,000–$8,000 per commissioned brief*
SaaS access
Platform seats for institutions.
~$150–$400 / seat / month*
Custom studies
Commissioned mapping and analysis.
Scoped project fee*
Revenue logic
Low-cost field capture. High-value recurring intelligence.
*Illustrative pricing: directional, not yet validated with paying pilot customers.

Why Now

Africa is urbanising fast
45.6% urban in 2026, doubling to 1.4B urban residents by 2050 (Worldometer / UN).
AI costs are falling
Pattern detection is finally scalable.
Institutions need proof
Narratives alone no longer win budgets.
No clear category leader
Adjacent players (Kounkuey, HerCities) don't compete directly: African ground-truth data on the built environment is still open terrain.

Traction And Launch

The core workflow this deck describes has already been tested in the field through workshop sessions leading to September Workshop.
6
Practitioners (13 more expected)
2
Exhibition workshops
1
Pre-launch workshops
1
Launch site: Baba Dogo
Public launch vehicle
Brikicho 2026 architectural exhibition.
Field test goal
Prove the workflow in a dense Nairobi site.

Team

Founder
Noelle Oyunga

Architectural Designer working at the intersection of Architecture, Technology & African Landscapes.

Partners
African Futures Institute
Culture Mtaani
Daika AI

3-Year Plan

Year 1
Validate
Launch, test workflows, publish Edition 01.
Year 2
Expand
Add more sites, more partners, better models.
Year 3
Monetise
Institutional subscriptions and repeat studies.
Goal: become the default spatial intelligence layer for African urban and rural contexts.

The Ask

Raise
$63,114
12-month runway, funding Year 1 (Validate) of the Built Futures Atlas roadmap: one full research project, launch through Brikicho 2026.
Proposed use of funds
Fieldwork & community data collection35% · $22,090
AI & platform development30% · $18,934
Exhibition & public launch (Brikicho, Baba Dogo)15% · $9,467
Team & operations (12 months)15% · $9,467
Contingency5% · $3,156
Strategic introductions
Urban and rural development funds, data buyers, civic institutions.
Sharp feedback
Business model, sales motion, enterprise packaging.
Early believers
People who see data infrastructure before the market does.

Built Futures Atlas

We are building the missing data layer for African cities and rural landscapes.
Early capital. Smart partners. Strategic doors.
Investor Deck
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