The Product

A credit brain for lenders, built on data borrowers already generate

Mobile top-ups, utility payments, and location check-ins are financial signals bureaus cannot see. Supersymm reads them and returns a score your LOS can use.

Signal Inputs

What the engine reads

Five behavioral signal categories, each predictive of repayment discipline where bureau data is thin or absent.

Mobile Recharge Activity

Prepaid top-up frequency, timing, and spend consistency. Reliable monthly top-ups can signal predictability without a bank account.

Utility Payment Regularity

Electricity and water payment timing, including due-date relation and consistency over a 90-day rolling window. This discipline closely tracks loan repayment behavior.

Geolocation Stability

Home and work location stability from app-permissioned coordinates. Residential stability strongly predicts commitment to ongoing obligations.

Peer Transfer Cadence

Frequency and regularity of mobile money transfers to family, landlords, and providers. Consistent P2P payments indicate active financial management.

App Engagement Patterns

Session regularity and financial app use for mobile-first lender partners. Consistent use of financial tools correlates with financial awareness.

Behavioral Consistency Index

Composite score for regularity across these signals over a 90-day window. High consistency correlates with low default probability in early-access pilot data.

Score Output

What your LOS receives

Every Supersymm API response includes four components:

  • Numeric score: 0 to 1000, calibrated to early-access pilot default rates
  • Confidence band: Low, Medium, High, based on signal depth and recency
  • Top contributing signals: the three signals with the highest relative weight in this borrower's score
  • Data freshness flag: age of the underlying signals, in days

Median 800ms, within a bureau pull's sync window. Add it to your decision flow without changing underwriting logic.

Integration

Three ways to connect

REST API

Single POST endpoint. Send borrower IDs and permissioned signal data, then get a score in the same sync response. JSON in, JSON out. Works with any LOS making an HTTP request.

Sandbox Environment

Pre-loaded with synthetic borrower profiles covering varied signal strengths. Test the integration and set score thresholds before using real applicant data.

Webhook Notifications

Async callback when batch scoring completes. POST results directly to your system endpoint. Useful for high-volume pre-screening that does not need inline responses.

Start with the free Pilot tier. 500 scores per month, no commitment.

Get sandbox access today and test your borrower profiles before choosing a paid plan.