DeviceConnect
Device intelligence for responsible digital credit in Kenya
Go beyond the application with consent-led device and behavioural signals built for Kenya’s mobile-first lending journeys.
Help credit teams assess borrower risk, identify potential fraud and support more confident decisions across personal, biashara, MSME, merchant and partner-led lending.
DeviceConnect
Risk Engine
CRM/LOS
Loan Platform
Device Connect API
Risk Engine
CRM / LOS
Loan Platform
Came for FinBox? Stay for the intelligence. Explore our AI library of research, industry data and lending insights.
Trusted by
30%
Uplift in approvals
30%
Uplift in approvals
25%
Increase in ticket sizes
15%
Improvement in delinquency
Go beyond traditional credit data
CRB information, borrower documents and verification checks remain fundamental to responsible lending in Kenya. DeviceConnect adds a consent-led layer of device and application intelligence to help teams identify inconsistencies, prioritise review and make more informed credit decisions.
Bring relevant device context into your existing underwriting and fraud workflows, while keeping your lender-defined policies, approvals and controls in place.
Use cases
Whether it’s unsecured credit or secured, personal loans or revolving lines - our products are API based and modular that fit inside all lending programs with ease.
Fraud monitoring
Detect real-time suspicious behaviour and anomalies to uncover patterns of organized fraud.
Mule accounts
Domain validity
Employment fraud
User traffic
Overdue SMS
Transaction velocity
Synthetic identity
User traffic
User traffic
Device concentration
Wallet debits
Funds misappropriation
User traffic
User traffic
Real-time underwriting
Leverage a powerful risk score combined with hundreds of profiling features to accurately assess user risk and confidently increase ticket sizes for high-quality borrowers
FinBox Inclusion Score
786
Better than 74% of the customers
3
Bank Accounts
₹17,000
Affordability
E wallets
2
NTC inclusive
Profiling is based on comprehensive data sources—including banking, UPI/wallets, telecom, utilities, and credit history—making it highly effective for evaluating new-to-credit (NTC) users.
BankConnect
Behavioural Predictors
DeviceConnect
Affordability Analysis
Spend Analysis
BureauConnect
Underwriting
Cross-sell
Analyse product usage, consumption behavior, and user signals to predict the propensity to purchase various financial products
High-security data operations.
In rest and in motion.
All data that passes through our risk management engine is anonymised and encrypted across workflows. DeviceConnect is aligned with DEPA (Data Empowerment and Protection Architecture) and undergoes multiple stress tests and independent audits annually. So you never have to worry about regulatory compliance or end-user privacy.
Supercharge lending
Streamline onboarding, accelerate lending, and enable data-driven decisioning
Streamline onboarding, accelerate lending, and enable data-driven decisioning
Supercharge lending
Streamline onboarding, accelerate lending, and enable data-driven decisioning
Supercharge lending
Risk Management
Identity Verification
Risk Management
Identity Verification
Risk Management
Identity Verification
FinBox raises $40M Series B
FinBox raises $40M Series B
Use cases
Whether it’s unsecured credit or secured, personal loans or revolving lines - our products are API based and modular that fit inside all lending programs with ease.
Fraud monitoring
Detect real-time suspicious behavior and anomalies to uncover patterns of organized fraud.
Mule accounts
Mule accounts
Domain validity
Employment fraud
User traffic
Disposable email
Disposable email
Transaction velocity
Synthetic identity
User traffic
User traffic
Device concentration
Document fraud
Document fraud
Funds misappropriation
User traffic
User traffic
Real-time underwriting
Leverage a powerful risk score combined with hundreds of profiling features to accurately assess user risk and confidently increase ticket sizes for high-quality borrowers
FinBox Inclusion Score
786
Better than 74% of the customers
3
Bank Accounts
₹36,200
Affordability
2
E wallets
72
Credit worthy score
NTC inclusive
Profiling is based on comprehensive data sources—including banking, UPI/wallets, telecom, utilities, and credit history—making it highly effective for evaluating new-to-credit (NTC) users.
BankConnect
Behavioural predictors
DeviceConnect
Affordability Analysis
Spend Analysis
Spend Analysis
BureauConnect
Underwriting
Underwriting
Cross-sell
Analyze product usage, consumption behavior, and user signals to predict the propensity to purchase various financial products
Credit decisions powered by real-time data
Get a 360-degree view of borrower’s financials and behavioural predictors. DeviceConnect evaluates creditworthiness using only device data, consolidating insights into high-performing models trained on millions of borrower data points.
Device Connect SDK
Income
Fraud Flags
FIS Credit score
Apps
APPLE PARK, CALIFORNIA 95014
Location
Credit decisions powered by real-time data
Get a 360-degree view of borrower’s financials and behavioural predictors. DeviceConnect evaluates creditworthiness using only device data, consolidating insights into high-performing models trained on millions of borrower data points.
Device Connect SDK
Income
Fraud Flags
FIS Credit score
Apps
APPLE PARK, CALIFORNIA 95014
Location
High-security data ops. In rest and in motion.
All data that passes through our risk management engine is anonymised and encrypted across workflows. DeviceConnect is aligned with DEPA (Data Empowerment and Protection Architecture) and undergoes multiple stress tests and independent audits annually. So you never have to worry about regulatory compliance or end-user privacy.
High-security data ops. In rest and in motion.
All data that passes through our risk management engine is anonymised and encrypted across workflows. DeviceConnect is aligned with DEPA (Data Empowerment and Protection Architecture) and undergoes multiple stress tests and independent audits annually. So you never have to worry about regulatory compliance or end-user privacy.