Safi™ by DataPulse

What Safi does

Scores property data completeness 0–100 across Legal, Social, Physical and Financial dimensions. Score reflects available data only — not a valuation or legal opinion.

Structures property data into machine-readable records — organising available information from public sources, agents, and owners into a standardised format.

Delivers structured data to banks, DFIs, and investors — enabling property data assessment where no standard previously existed.

Safi™ data completeness scale

Strong Data

Score 75–100. All key data dimensions present. Property records substantially complete.

Moderate Data

Score 55–74. Core data present. Some dimensions need additional input.

Partial Data

Score 30–54. Significant gaps remain. Data improvement recommended before proceeding.

Limited Data

Score 0–29. Insufficient data to assess. Significant input required.

Scores reflect data completeness only. Safi™ is a data structuring algorithm — not a valuation, legal opinion, or lending decision.

Who is this for?

Alina Aeby

Founder & CEO · Data Pulse International Inc.

alina@proppulse.io +1 415 744 4844

Chat

9.5M

Uganda land parcels

<20%

formally titled

$200B+

invisible to capital

Safi^TM by DataPulse

Property Intelligence Infrastructure · East Africa

Alina Aeby

Founder & CEO · Data Pulse International Inc.

alina@proppulse.io · +1 415 744 4844

Delaware C-Corp

Buyers, Investors & Diaspora

Whether you are buying your first home in Kampala, investing from abroad, or a diaspora buyer doing due diligence remotely — Safi™ gives you structured property data before you commit.

Data disclaimer: Safi™ is a data structuring layer. We work with available data from public records, professional input, and owner/agent declarations. Scores reflect data completeness only. This does not constitute valuation, legal verification, legal advice, or financing approval. Always seek independent legal and financial counsel before transacting.

Owners, Sellers & Developers

If you own property in Uganda — whether titled, customary, or inherited — Safi™ helps you understand and communicate your property’s data completeness to buyers, banks, and investors.

Property Data Score

Indicates level of structured and verifiable property data

Load example

Plot reference

GPS Coordinates (optional - latitude, longitude)

Tenure type

District

Mailo: Full NLIS search available. Aligned with financing criteria.

Verification inputs

Title / Ministry search

Lien / encumbrances

LC1 / community

🎤 Voice recordings accepted for neighbor declarations and spousal consent. Submit via registered AREA agent.

Spousal consent

GPS / boundary

Zoning / NEMA

Utilities

AREA agent

Digitize an informal property

Convert a Customary or customary-held asset into a Safi™ structured data record.

Step 1 - Select tenure type

Customary

Customary occupancy

CCO

Customary Ownership Cert.

Inherited land

Family / succession

Church / institution

Endowment or donation

Customary: Need Sale Agreement + LC1 letter + Mother Title block/plot. Ceiling: 65/100.

Step 2 - Owner and documents

Owner name

Location

Documents required

Step 3 - Social provenance

Years of continuous occupation

LC1 chairperson confirmation

Neighbor verification

Known disputes

Starting Safi

/100 -

What this score unlocks

Score ceilings by tenure

Dead capital opportunity

Unscored Customary avg value$18,000

Limited data. Not currently aligned with financing criteria.

Value premium after scoring+15-25%

Structured data assets command market premium. Time-on-market: 18mo to 6mo.

Total dead capital (Uganda)$20B+

World Bank estimate. Safi™ structures this data one property at a time.

Data disclaimer: Safi™ is a data structuring layer. We work with available data from public records, professional input, and owner/agent declarations. Scores reflect data completeness only. DataPulse is not responsible for lending decisions, property transactions, or outcomes based on this data. This does not constitute valuation, legal verification, legal advice, or financing approval. Always seek independent legal and financial counsel before transacting.

Value and upside calculator

Current estimated value (USD)

Current Safi: 31/100

Data GapHigh Completeness

Target score after verification: 72/100

Tenure type

Buyer type

Upside analysis

Data disclaimer: Safi™ is a data structuring layer. We work with available data from public records, professional input, and owner/agent declarations. Scores reflect data completeness only. DataPulse is not responsible for lending decisions, property transactions, or outcomes based on this data. This does not constitute valuation, legal verification, legal advice, or financing approval. Always seek independent legal and financial counsel before transacting.

Generate Safi Report

Professional due diligence document. Used by diaspora buyers, lawyers, and banks.

$150-$300

Property address / reference

Owner name

Tenure type

Safi (0-100)

Report type

Legal score (of 40)

Social score (of 30)

AREA Uganda - Registered Agent Directory

505 registered members. AREA-registered agents access the full suite of Safi™ data tools.

Showing 505 members

Why AREA membership matters

AREA-registered agentFull data access

AREA-listed properties carry structured data across all Safi dimensions. Full data completeness on all submissions.

Non-AREA agentStandard data access

Data ceiling of 72/100 applies. AREA registration unlocks full data completeness range.

Safi™ agent profile fee$100 / year

Registered digital profile. Searchable by buyers, banks, and developers.

Agent Tools

Data disclaimer: Safi™ is a data structuring layer. Scores reflect data completeness only. Not a valuation, legal opinion, or lending decision.

Safi™ Bank API

DataPulse provides structured property data via API. Lenders connect this data to their own underwriting systems. DataPulse does not approve, decline, or recommend financing. All credit decisions remain entirely with the lender.

DATA DELIVERED PER PROPERTY

✓ Safi 0–100
✓ Dimension breakdown (Legal / Social / Physical / Financial)
✓ Data source type per field
✓ Documentation status
✓ Tenure type and data ceiling
✓ Flags and data gaps
✓ GPS coordinates

HOW LENDERS USE THIS DATA

✓ Pre-screen properties before site visit
✓ Reduce manual due diligence time
✓ Standardise property data inputs
✓ Identify data gaps early
✓ Support Mortgage Refinance Act 2026 documentation
✓ Feed into existing risk models

Sample API Response

This is a sample of what any lender’s system receives when querying the Safi API for a given property reference.

      {

        "property_ref": "KYD-244-2934",

        "safi_score": 78,

        "data_tier": "Strong Data",

        "dimensions": {

          "legal_title": 32/40,

          "social_community": 24/30,

          "physical_boundary": 14/20,

          "financial_encumbrances": 8/10

        },

        "tenure": "Mailo",

        "data_ceiling": 100,

        "flags": [],

        "assessed_date": "2026-04-04"

      }

Demo: Property Data Queue

Select an application to view the full Safi™ data package and take action.

Institutional Portfolio

For churches, pension funds, REITs and DFIs managing private property portfolios. Private data — not visible to the public.

Ready to connect Safi™ data to your underwriting system?

API access is available for licensed lenders, DFIs and mortgage institutions operating in East Africa. DataPulse handles integration — your team receives clean, structured data.

Housing Finance Bank · Centenary Bank · Stanbic · DFCU · DFIs welcome

Data disclaimer: Safi™ is a data structuring layer. We work with available data from public records, professional input, and owner/agent declarations. Scores reflect data completeness only. DataPulse is not responsible for lending decisions, property transactions, or outcomes based on this data. This does not constitute valuation, legal verification, legal advice, or financing approval. Always seek independent legal and financial counsel before transacting.

Institutional Portfolio

For institutional asset holders: property funds, church and faith-based landowners, pension funds, development finance institutions, and REITs. Portfolio data is private by default — not visible to the public unless a property is listed for sale.

847

Parcels in portfolio

62%

Safid

23%

Financing-criteria aligned

Portfolio Data Quality Distribution

Based on Safi™ assessment of scored parcels. Unscored parcels represent data gap opportunity.

Strong Data (75-100)194 parcels

Moderate Data (55-74)281 parcels

Partial Data (30-54)169 parcels

Limited Data (0-29)203 parcels

Opportunity: 847 unscored parcels. Scoring these could qualify up to 372 additional parcels for financing-criteria alignment.

Sample Portfolio Properties

Private. Not listed for sale. Visible only to authorised portfolio managers. Investor access subject to institutional agreement.

Makerere Hill Road — Plot 4 Colville St

Kampala Central · Freehold · 2.4 acres

Strong Data

Legal: 34/40 Social: 24/30 Physical: 16/20 Financial: 8/10 Private — Not for sale

Namirembe Cathedral Compound — Block 7

Kampala · Mailo Title · 5.8 acres

Moderate Data

Legal: 28/40 Social: 18/30 Physical: 10/20 Financial: 5/10 Private — Not publicly listed

Investor Matching

When a portfolio holder is ready to seek investment, they can choose to make specific properties visible to participating institutional investors. Safi data provides the due diligence foundation.

Portfolio data is governed by a DataPulse institutional data agreement. Safi provides structured data only. Asset valuation, legal title verification, and investment decisions remain the responsibility of the asset holder and their advisors.

Data disclaimer: Safi™ is a data structuring layer. Scores reflect data completeness only. Not a valuation, legal opinion, or lending decision.

Admin Dashboard

Revenue tracking dashboard. Enter password to access.

Password

Listings

Live Market Data

Only scored listings. Updated every 2 weeks or removed if unclaimed.

Active

Sold

In Contract

Score Guide

Strong Data 75–100

High documentation completeness. Aligned with financing criteria.

Moderate Data 55–74

Good foundation. One or more dimensions partially documented.

Partial Data 30–54

Significant data gaps. Further documentation recommended.

Limited Data 0–29

Minimal structured data. Not currently aligned with financing criteria.

Safi provides structured property data only. Does not constitute valuation, legal verification, or financing approval.