Making every data point count

Making every data point count

Making every data point count

Making every data point count

Making every data point count

Learning from each interaction

Each interaction between the user and borrower makes our system a little bit smarter.

Learning from each interaction

Each interaction between the user and borrower makes our system a little bit smarter.

Learning from each interaction

Each interaction between the user and borrower makes our system a little bit smarter.

Learning from each interaction

Each interaction between the user and borrower makes our system a little bit smarter.

Raw data

Raw data categorised based on standard of living, and business stability

1000 variables

1000+ variables across household and business data, across peer groups, taken into consideration

Good Agents

ML engine trained to weight learning towards data collected by good agents

 

ML engine trained to weight learning towards data collected by good agents

ML engine trained to weight learning towards data collected by good agents

Recent Data

Learning weighted towards recent data, capturing micro / macro effects affecting sub-sectors / geographies

Learning weighted towards recent data, capturing micro / macro effects affecting sub-sectors / geographies

Self-reported Data

Validate and rate the confidence of self-reported data from borrowers with peer insights

 

Leave no data behind

Our core machine learning based platform captures and deals with every piece of relevant data or interaction.

Leave no data behind

Our core machine learning based platform captures and deals with every piece of relevant data or interaction.

Leave no data behind

Our core machine learning based platform captures and deals with every piece of relevant data or interaction.

Leave no data behind

Our core machine learning based platform captures and deals with every piece of relevant data or interaction.

ML learning
Data

Leveraging the data

We leverage our large pool of aggregate borrower and user data to learn faster than any other system can.

Leveraging the data

We leverage our large pool of aggregate borrower and user data to learn faster than any other system can.

Leveraging the data

We leverage our large pool of aggregate borrower and user data to learn faster than any other system can.

Leveraging the data

We leverage our large pool of aggregate borrower and user data to learn faster than any other system can.

Codifying intuition

Our engine identifies 'good agents' and works on codifying their intuition, by weighting learning towards the data that they bring in.

Codifying intuition

Our engine identifies 'good agents' and works on codifying their intuition, by weighting learning towards the data that they bring in.

Codifying intuition

Our engine identifies 'good agents' and works on codifying their intuition, by weighting learning towards the data that they bring in.

Codifying intuition

Our engine identifies 'good agents' and works on codifying their intuition, by weighting learning towards the data that they bring in.

codifyintuition
micromacro

Capturing big and small

In an attempt to capture all micro and macro effects that influence the borrowers' different sub-sectors and geographies, our engine's learning is weighted towards recent data.

Capturing big and small

In an attempt to capture all micro and macro effects that influence the borrowers' different sub-sectors and geographies, our engine's learning is weighted towards recent data.

Capturing big and small

In an attempt to capture all micro and macro effects that influence the borrowers' different sub-sectors and geographies, our engine's learning is weighted towards recent data.

Capturing big and small

In an attempt to capture all micro and macro effects that influence the borrowers' different sub-sectors and geographies, our engine's learning is weighted towards recent data.