Molo. Sawubona.

Mntase

You own itYou verify itYou earn from itYou can take it back
Mntase! · The Mission

To turn the AI revolution into income, dignity and belonging for low-income Africans.

A community gathered under a tree in the Eastern Cape

AI already makes decisions about you.

For the mass market, the file is thin, and often wrong. Wrong data means expensive credit, refused insurance, services priced for someone else. Mntase! verifies the record with the member, so that decisions about you are made on data you have seen and corrected.

"I own my data. I make sure it is correct. Mntase! verifies it."

The most connected generation is the loneliest.

We were raised in imbizos, Y-centres and street games of brick cars. If life is moving behind screens, those rooms must move with it. Mntase! groups are real people under real names: nobody hiding behind a fake username.

"I am behind a screen. But at least I am talking to other humans."

AI is taking jobs.

So we create them, aggressively. Thousands of paid mpintshis hold the network together, and you could be the next. And revenue flows into digital and AI training centres, so the next generation enters this revolution trained. We are not getting left behind again.

"I earn. I learn."
Mntase! · Mntase Story

It started with a mother in the Eastern Cape.

The whole street knows her gate. She is the one who listens, lends a hand and gets things organised. But to the systems that decide what she pays for credit, insurance and airtime, she barely exists.

The street already trusts her. The system should too.
Read the full story
A mother at her gate in the Eastern Cape
Mntase! · Mntase Story

It started with a mother in the Eastern Cape.

The whole street knows her gate. She is the one who listens, lends a hand and gets things organised; when something needs doing, people come to her first. Our founder grew up watching his mother do this work, every day, for free.

But to the systems that decide what she pays for credit, insurance and airtime, she barely exists. Her file is thin, and what little it holds is wrong. The street trusts her completely. The system has never met her.

Mntase! was built to close that gap: a place where her record is hers and stays correct, where her community counts for something, and where the work she has always done for free finally pays.

The street already trusts her. The system should too.
A mother at her gate in the Eastern Cape

She is why the mpintshi role exists.

Every street has someone like her. Mntase! finds them, equips them and pays them: to recruit, to vouch for the people they know, to host their home group, and to keep the network honest. If your street already comes to you first, the job is already yours.

Mntase! · The Product

One membership. Four everyday powers.

Everything lives in the Mntase! app, and starts working from the phone you already have.

Community Spaces

The community hall, digitised. Groups on everything from African hairstyles to pig rearing, and at the centre of it, your home group, run by your mpintshi.

Mntase · Groups
Ward 12 · Prepaid Electricity
Nomsa M.Eskom hiked the tariff again. Who else?
Sipho D.Anyone know a cheaper vendor nearby?
This group has earned · Borehole fund +R2,400
See more →

A data passport

Everything you would like the internet to know about you, and nothing you wouldn't. You keep it accurate. Mntase! verifies it. Sharing is your call, item by item.

My Data Vault
Identityshared: you
Healthdoctor only
Incomeprivate
Voiceshared
Locationward only
You own it. You can take it back.
See more →

Admin convenience

Why fill in forms at the bank or the clinic? One scan of your QR code pre-fills them from your verified passport, documents included.

Customer · KYC
Full name
Sello Dlamini
API
ID number
•••• 4127
API
Address
Ward 12, Mdantsane
API
Voiceprint
verified ✓
API
One scan. No forms.
See more →

A call to action

Sentiment and surveys become data-driven advocacy, sent to the people who can fix the problem, with ward-level evidence attached.

Mntase Research
Prepaid electricity sentiment · Q3 2026 · ward-level · POPIA-clean
72% positive
Ward 12
Ward 8
Ward 3
See more →
How it is built · The Stack

People first. Then vaults. Then platform. Then market.

Members at the base. Mpintshi and Nduna networks turn signals into verified data. Three vaults hold it. One platform governs every read.

Network
Mntase membersVerified humans · consent on file
Mpintshi networkPeer organisers · recruit, vouch, capture
Nduna networkWard leaders · resolve, ratify, sign off
Data
Identity vaultWho they are
Clinical vaultWhat they carry
Financial vaultHow they move
Platform
Consent ledger · Cross-vouch engine · Runtime assemblyStateless joins across the vaults. POPIA-bounded. Every read leaves an audit log.
Interface
Mntase web appMember-facing · installable
D-CentresPhysical
Customer APIB2B reads
Research engineReports

Three vaults, three separate clouds, by design. No single place holds a whole person.

Mntase! · For Partners

Understand the mass market. With permission.

Every insight we sell starts with a member who said yes. No scraping, no shadow profiles, no guesswork: verified humans, item-by-item consent, and an audit log behind every read.

Mntase! · Use Cases

One platform. Every sector that serves the mass market.

These are example use cases — a fraction of what Mntase! data makes possible. If your sector or need isn't listed here, it almost certainly still applies.

Finance
Alternative Credit Scoring

Community trust signals, payment behaviour and social vouching create a credit picture banks can't see elsewhere.

Finance
Micro-loan Underwriting

Community-vouched creditworthiness for small lenders who need more than a bank statement.

Finance
Life & Funeral Insurance

Verified identity and income data to price products for members who have never had cover before.

Finance
Bank Account Onboarding

Identity, address and liveness verified in one scan. Faster FICA compliance, fewer drop-offs.

Finance
Stokvels & Savings Groups

Verified group membership and contribution history to underwrite or formalise community savings.

Finance
Micro-insurance Products

Pay-as-you-go coverage matched to verified income cycles and community risk profiles.

Finance
Digital Payments Research

Cash-to-digital transition: barriers, adoption rates and channel preferences tracked at ward level.

Health
Chronic Disease Surveillance

TB, HIV, hypertension and diabetes indicators mapped at ward level with member consent.

Health
Maternal & Child Health

Pregnancy tracking, immunisation reach and clinic attendance patterns across communities.

Health
Mental Health Pulse

Stress, burnout and anxiety indicators drawn from daily member sentiment, aggregated and anonymised.

Health
Clinic & Patient Onboarding

Verified identity and address pre-fill registration forms before the patient arrives at the facility.

Health
Vaccination Campaign Reach

Verified reach into specific communities with message targeting by age, area and household type.

Health
Community Health Worker Support

Mpintshi-linked outreach coordination connecting CHWs with households that need follow-up.

Community Mood Tracking

Daily joy, frustration, hope and fear at ward level, drawn from real consenting member sentiment.

Cost-of-Living Stress

Affordability signals by area and household type, updated continuously as members share their reality.

Social Connection Index

Loneliness, belonging and community health indicators to guide where social intervention is most needed.

Safety Perception

How communities rate crime risk, fear and neighbourhood trust — ward by ward, updated in real time.

Service Delivery Feedback

Water, electricity, roads and housing satisfaction mapped to the ward responsible for delivering the service.

Government
Grant Eligibility Verification

Verified identity, income and household data to support faster, more accurate social assistance decisions.

Government
Ward Needs Assessment

Housing, services and economic needs mapped and ranked by community members themselves.

Government
Programme Monitoring & Evaluation

Consent-backed longitudinal data to measure what actually changed before and after an intervention.

Government
Civic Engagement

Verified community feedback on policy proposals, budget priorities and local government decisions.

Government
Housing Demand Signals

Household size, location preference and tenure data to plan delivery at ward level, directly from residents.

Retail
Township Market Research

Authentic consumer insights from verified households in the communities you want to reach.

Retail
Product & Concept Testing

Rapid validated feedback from real target consumers before you commit to going to market.

Retail
Brand Perception

How your brand actually lands in mass-market communities, without social desirability bias.

Retail
Pricing Sensitivity

What the market can actually afford, by income band and household profile — not what focus groups say.

Retail
Consumer Segmentation

Move beyond LSM with verified behavioural and social profiles of real community members.

Retail
Verified Audience Reach

Speak to real, opted-in people — not bought lists. The audience you pay for is the audience that actually wants to hear from you.

Employment
Verified Job Matching

Connect employers with candidates who have verified identities, addresses and community references.

Employment
Skills & Qualification Verification

Confirmed credentials and work history, vouched by community members who know the candidate personally.

Employment
Gig Worker Onboarding

Fast, verified registration for platform workers who have no formal employment record to show.

Employment
Youth Skills Gap Research

What training the next generation actually needs, at ward level, verified by community leaders.

Research
Longitudinal Panel Studies

The same verified respondents over months or years, with consent renewed item by item.

Research
Social & Economic Research

Ward-level data with demographic breakdowns, consent receipts and full POPIA audit trails.

Research
Impact Evaluation

Before-and-after measurement for development programmes, with the same respondents on both sides.

Research
Consent-backed Surveys

Replace phone intercepts and panel companies with verified, motivated, paid respondents who actually want to help.

Research
Survey & Advocacy Campaigns

Launch targeted surveys and advocacy drives to verified demographics — rewarded directly to members, returned to you as clean, consent-backed data.

Don't see your use case?
These 38 examples represent a fraction of what's possible on verified community data. If your sector or specific need isn't listed, get in touch and we'll walk you through it.
Talk to usPartner enquiry
Mntase! · The Invite

Three doors in.

Each door leads to its own registration in the Mntase! app. Pick yours.

A Mntase member in her community R

Become a Mntase

Join from the phone you already have. Get your data passport, join the groups that interest you, answer when you feel like it, earn rewards, and own every byte you contribute.

A Mpintshi connecting her community

Become a Mpintshi

Already the person your street asks first? Run your community on Mntase!: recruit, vouch, host, and get paid for the work you have always done for free.

A partner presenting community data to colleagues

Engage the community

Research, verified reach, advocacy: built on consent instead of scraping. If you need to understand or serve the mass market, start here.

Mntase! · Imibuzo

Questions people ask us.

Who owns my data?

You do. Every item in your data passport belongs to you. Mntase! verifies it and keeps it safe, but you decide what is shared, with whom, and for how long. Sharing is item by item, never all or nothing.

What does it cost to join?

Nothing. Membership is free, and it works from the phone you already have. You earn rewards for keeping your passport accurate and answering when you feel like it; you never pay to belong.

How do mpintshis get paid?

Mpintshis are paid for the work of holding the network together: recruiting new members, vouching for the people they know, hosting their home group, and helping capture verified data. If your street already comes to you first, you are already doing the job. Mntase! pays for it.

Is this POPIA compliant?

Yes, by design rather than by paperwork. Consent is recorded on a ledger before any data moves, every read leaves an audit log, and the three vaults live on three separate clouds so no single place holds a whole person.

Can I take my data back?

Yes. You can withdraw sharing on any item at any time, and you can leave entirely. Your passport is yours; "you can take it back" is not a slogan, it is how the consent ledger works.

Who can see my data?

Only who you have said yes to, and only the items you chose. A customer running KYC sees what one scan permits, nothing more. Researchers see anonymised, ward-level patterns, never your name. And you can see who has read what, because every read is logged.