Kenya AI Challenge 2026 · Stellar Hacks ZK Credit Rails

Agricultural finance doesn't fail because farmers are too risky. It fails because risk is invisible.

Millions of smallholder farmers generate trustworthy financial signals every day. Mizizi proves creditworthiness with zero-knowledge credentials on Stellar — without exposing raw M-Pesa data.

Graph intelligenceExplainable AIClimate signalsHuman oversight
01 · Demo

See Mizizi in action.

Watch the demo to understand how the platform connects farmer data, climate signals and explainable credit decisions.

02 · The invisible farmer

One farmer.
Seven systems.
Zero shared intelligence.

A single farmer's financial life is fragmented across cooperatives, mobile wallets, input dealers, climate feeds and NGO records. Every system holds a fragment — none of them see the farmer.

Farmer
Cooperative
SACCO
Mobile Money
Climate Data
Input Dealer
NGO Platform
Insurance
03 · The cost of fragmentation

What happens today.

  1. 1
    Farmer applies
  2. 2
    Loan officer searches
  3. 3
    Missing information
  4. 4
    Collateral required
  5. 5
    Application declined
  6. 6
    Farmer receives 'declined'
  7. 7
    No explanation
  8. 8
    Same outcome next season

This isn't a data problem. It's a connection problem.

04 · The Mizizi difference
Connected

The same journey, with sight.

  1. 01
    Farmer applies
    Mobile or in-branch
  2. 02
    Entity resolution
    Unifies fragmented records
  3. 03
    Graph intelligence
    Cooperative & peer signals
  4. 04
    Climate analysis
    Rainfall, yield risk
  5. 05
    Community analysis
    Repayment behaviour
  6. 06
    Explainable risk score
    Every factor visible
  7. 07
    Human decision
    Officer in the loop
  8. 08
    Actionable guidance
    Farmer understands why
05 · The scale of invisibility

A continent of farmers the system cannot see.

0%

Kenyan smallholder farmers accessing formal credit

0%

Ugandan smallholder farmers accessing formal credit

0%

Average access across Africa

$0B

Annual agricultural financing gap

<0%

AFRACA lending reaching smallholders

06 · Why existing systems fail

The only solution that covers the full lending pipeline.

Traditional lendingTraditional AIMizizi
Alternative data Partial Yes
Graph relationships Yes
Climate intelligence Partial Yes
Explainability Yes
Farmer feedback Yes
Peer analysis Yes
Decision audit trail Partial Yes
Human-in-the-loop Yes Yes
07 · The platform

Built for the people who actually approve loans.

Every surface is engineered around a single question: why this decision? Loan officers see signals, farmers see reasons, executives see portfolios.

mizizi.app/farmers/F-10384/explainability
Farmer · F-10384 · Nyandarua

Wanjiru Kamau

Risk · low
78
Repayment history
+24
Cooperative tenure
+18
Mobile money
+11
Climate exposure
-7
Input purchase trend
+9
Peer repayment
+13
Decision summary

Recommend approval at KES 84,000 over 9 months. Repayment confidence 92%. Climate buffer advised due to upcoming short-rains variability.

Graph path
FarmerMwea Coop12 peersOn-time
08 · Stellar Hacks ZK Credit Rails

Prove creditworthiness.
Reveal nothing.

Smallholder farmers already generate rich financial signals — mobile money turnover, repayment history, cooperative membership. Mizizi turns them into a zero-knowledge credit credential anchored on Stellar, so lenders can trust the score without ever touching the raw data.

Groth16CircomStellar SorobanUSDC drawdown
Privacy by cryptography
Raw M-Pesa rows never leave the farmer's device or the Mizizi vault. The proof is the only thing that travels.
Portable creditworthiness
One credential works across every SACCO, bank and microlender integrated with Stellar. No repeated KYC theatre.
Auditable on Stellar
Every issued credential and drawdown lands on a public ledger with a verifiable transaction hash.
ZK credit pipeline
farmer F-10384 · testnet
Verified
  1. 01 · Signal capture
    M-Pesa turnover, repayment history, cooperative tenure — private inputs.
    ok
  2. 02 · Witness build
    Mizizi agents assemble the circuit witness locally on the farmer's behalf.
    ok
  3. 03 · Groth16 proof
    A zero-knowledge proof binds the score tier without revealing any row.
    ok
  4. 04 · Stellar submission
    Proof + public commitment anchored on Stellar. Explorer link, every time.
    ok
  5. 05 · Credential issued
    Lenders see tier, band and limit. Never the raw mobile money data.
    ok
  6. 06 · On-chain drawdown
    Farmer draws USDC against the credential — verifiable, portable, revocable.
    ok
Tier
B
Score band
72/100
Max USDC
450

Lenders receive tier + band + limit. Raw M-Pesa transactions stay private — cryptographically, not contractually.

08 · Built for the entire ecosystem

Ten roles. One connected intelligence layer.

Banks
TodayLack farm-level visibilityMiziziConnected risk picture
SACCOs
TodayManual member assessmentMiziziAutomated cooperative graph
Microfinance
TodayLimited collateral signalsMiziziBehavioural credit signals
Loan officers
TodayDecision opacityMiziziExplainable workspace
Insurance
TodayHard to verify riskMiziziVerified climate + farm data
Cooperatives
TodayRepayment volatilityMiziziPeer-level intelligence
Governments
TodaySubsidy targetingMiziziPopulation-level analytics
NGOs
TodayProgramme attributionMiziziOutcome-linked tracking
Climate orgs
TodaySmallholder reachMiziziDirect climate signal pipeline
Farmers
TodayNo explanation, no pathMiziziActionable feedback
09 · Future vision

One connected intelligence layer.
Unlimited financial possibilities.

Mizizi is positioned as infrastructure, not a product. Every new signal — identity, carbon, satellite, payments — strengthens every decision already in the system.

Mizizi
Digital Identity
Carbon Credits
Crop Insurance
Government Subsidies
Mobile Payments
Satellite Monitoring
AI Agents
Credit Bureaus
Open Finance APIs

Every farmer already has a story.
Mizizi helps financial institutions finally see it.

Transparent lending begins with connected intelligence. Build trust. Reduce risk. Increase financial inclusion.