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SageX for Lending

Assessing one borrower with no credit file takes hours, sometimes days. Your queue holds thousands.

Digital lending has already made applying fast. But a loan is only as good as the evidence behind it.

How SageX does it

Where the days - and the losses - actually go, and what changes.

01 · Reading every borrower, including the ones with no file

The example

A first-time borrower applies. No credit history. Can you lend?

One borrower assessed two ways

If your team assessed this today

Bureau check → comes back empty

Ask for bank statements. Wait for the upload.

Read months of transactions to work out income

Check the ID and the face against the application by hand

Look for signs of fraud, one applicant at a time

✓ Decided - hours, sometimes days, for one applicant.

Your queue holds thousands.

With SageX

Identity ✓ verified · liveness and face match

Bank statement ✓ income read · obligations found

Alternative data ✓ telecom, text messages and others

Device and fraud checks ✓ clear

Address and location ✓ matches

Applicant · no bureau history

Assessed in seconds. Every signal in one profile, and nobody retypes anything.

02 · Decided against your policy - and on record

The example

Your auditor asks: why was this loan approved?

One question answered two ways

If your team answered this today
Find the bureau pull in one system
Find the bank statement analysis in another
Work out which version of the policy applied that day
Email the analyst who approved it

What that costs: the reasoning stays with the person.

When they leave, it leaves with them.

With SageX

Q: Why was this loan approved?

A: ✓ Income at least 3x the instalment · read from bank statement, month 4
✓ No active defaults · bureau, two sources
✓ Device and identity checks clear

Policy v12 · in force on the day of decision

Start from ready-made lending strategies, then tune them to your risk appetite. Change a strategy without a release, and test it before it goes live.

A human still sets the policy. SageX applies it the same way, every time, and shows its working.

03 · One record, from approval to last repayment

The example

A borrower misses a payment in month three.

If your team handled this today
  1. 1

    The overdue shows up in an end-of-day report

  2. 2

    It is exported to the collections team's sheet

  3. 3

    An agent calls without seeing the history

  4. 4

    The payment lands. Finance matches it at month-end.

  5. 5

    The bureau file and the regulator's report are built by hand

Five hand-offs. Each system sees part of the borrower.

With SageX

  1. 1

    Mandate fails

  2. 2

    Case moves bucket automatically

  3. 3

    Reminder goes out by SMS, WhatsApp or email

  4. 4

    The agent sees the full history

  5. 5

    The payment is reconciled as it lands

  6. 6

    Bureau reporting updates on schedule

These hand-offs go away. Servicing, collections, reconciliation and reporting run on the same record that underwriting built.

The questions that come up next.

Do we write our credit policy from scratch?

No. Start from ready-made lending strategies. Adjust them to your risk appetite, and simulate a new product before it goes live.

Can we keep the providers we already use?

Yes. Bring your own identity, bureau, bank data, e-signature, payment and messaging vendors. Run more than one per function, with automatic failover. A new market means switching providers, not rebuilding the flow.

Can borrower data leave our environment?

SageX runs inside your own environment - where that data already sits. We do not take your data, and we do not give it to anyone. Consent, retention and access are configured to local data protection law. Every call, action and decision is logged for audit.

Who runs this - our team, our IT, or you?

Your credit and operations teams. Products, flows and collection strategies change without an engineer or a release.

Do we have to change everything at once?

No. Start where it hurts most - origination, servicing or collections. The rest is already on the same foundation when you're ready.

Platforms like this take quarters to go live.

Not this one. Within 1-2 weeks to go live.

Up and running

With SageX, application to money in the account takes five minutes.

And it runs where borrower data has to sit - inside your own environment, not ours.

5 minutes

Application to disbursement

from a borrower opening the app to money in their account.

20 seconds

Credit decision

Every signal checked, the decision recorded with its reasons.

1-2 weeks

First live product

Your policy, your providers, running on real borrowers.

Who cracked this

Built by people who lived through this problem.

Abhishek Agarwal, a chartered accountant with 7+ years in lending, started a lending company in 2020 and hit the limits of its system. SageX's founders had spent their careers building the data products banks, asset managers and exchanges ran on.

Hear how it came together, in their own words. Under two and a half minutes, captioned.

Advised by leaders from

Goldman Sachs Bank of America Bloomberg Refinitiv Fitch Solutions NetApp EXL

Already running

Not a pilot. A production system, lending every day.

10,000+

applications decided every day

What it's delivering today.

  • 5 minutes from application to money in the account. Identity, underwriting, agreement, mandate and payout included.
  • $50M+ disbursed every month. Real money to real borrowers, every working day, on the same system.
  • 93%+ of approved loans repaid on time.
  • Thin-file borrowers assessed on alternative data - the applicants most systems turn away.

So the question stops being whether it will work. It is already lending, to the borrowers most systems can't see.