How long does SquareNow take to go live?

4 to 6 weeks for a vanilla configuration. 8 to 12 weeks for full custom workflows. 12 to 16 weeks for enterprise deployments with extensive integration.

Is SquareNow built for NBFCs or MFIs or co-ops?

All three. The product covers Tier-0 startup NBFCs (1–5 people, 0–50 Cr), mid-size NBFCs (50–500 Cr), MFIs (20–300 Cr), co-ops and Section 8 lenders (10–250 Cr), urban co-operative banks (100–1,000 Cr), and enterprise NBFCs (500 Cr+).

Do you replace our core banking system?

No. SquareNow is the lending operating system that sits alongside your core. We integrate with the major Indian core banking systems used by NBFCs and urban co-ops without forcing a rip-and-replace.

What happens to our data?

Customer data is hosted in AWS Mumbai (ap-south-1). Logically partitioned per tenant; encryption keys per-customer in single-tenant and enterprise plans. We do not use customer data to train models that are shared across customers.

How does pricing work?

Per-loan-account, with bands by AUM. Starter for Tier-0 NBFCs starts low and scales as the book grows. See the pricing page for the full bands.

AI lending operating system

The AI lending team
your NBFC has been
waiting for.

From a 2-person fintech NBFC to a 500-person co-operative — SquareNow's AI agents do the work of 50 to 60 humans. Loans, collections, audit, compliance, all in one stack.

Book a 20-minute walkthrough See the AI agents

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One stack from application to collection — configured per lender, not coded again.

How the AI thinks

Three layers.
One mind.

SquareNow separates perception, decisioning and adaptation. Each is an AI layer your operators can read, override and trust.

01 — Sense

Perception

Lead capture, document extraction with vision models, bureau / GST / MCA / PAN cross-checks. Every signal lands in one record.

02 — Decide

Decisioning

Your credit policy runs as a rule engine. AI agents score, approve under policy, surface judgment cases to humans. Sub-200ms latency.

03 — Learn

Adaptation

Outcomes loop back. Delinquency prediction tightens, collection prioritisation sharpens. The system you launch is the weakest it will ever be.

What the agents do

Eight specific operational tasks.
Eight specific outcomes.

"AI agents" is a strong claim. This is the receipt — eight tasks the agents handle so your team can focus on judgment, not bookkeeping.

Lead capture

Web, WhatsApp, partner channels. Conversational qualification on WhatsApp and voice.

KYC & verification

Vision-model document extraction. Bureau, GST, MCA, PAN cross-checks. WhatsApp loop until file is complete.

Underwriting checklist

Credit policy as a rule engine. Recommendations with policy match. Underwriter sees judgment cases only.

Disbursement orchestration

NEFT / IMPS / RTGS / UPI triggers, reconciliation, ledger posting, borrower confirmation in seconds.

Bucket-1 collections (THALA)

Voice, WhatsApp and SMS follow-ups on 1–30 dpd. Multilingual. Routes to a human when the conversation calls for it.

Audit & compliance

Tamper-evident audit logs. Pre-built RBI, SRO, internal and statutory audit reports.

Field productivity (KYEHR)

Attendance, route discipline, customer-visit completion. Outliers surfaced automatically.

Cross-sell & renewals

Repayment behaviour and life events surface the right offer at the right time. Hands the lead to the RM.

See the full breakdown

Who runs SquareNow

One stack. Six lender shapes.

Tier-0 startup NBFC

1–5 people, 0–50 Cr AUM. Starter ships in 4 weeks.

Mid-size NBFC

50–500 Cr AUM. From Excel and bolt-ons to a single audited stack.

MFI

20–300 Cr AUM. Group lending, JLG, household indebtedness, qualifying-asset reporting.

Co-op & Section 8

10–250 Cr AUM. Companies Act overlay built in.

Urban co-op bank

100–1,000 Cr AUM. Modern lending engine alongside your core.

Enterprise NBFC

500 Cr+ AUM. Single-tenant deployment, custom workflows.

By the numbers

Outcomes, not promises.

What customers measure after SquareNow goes live.

4–6 wks

standard go-live

50–60

human-equivalent ops roles automated

0–2,000 Cr

AUM band served

99.9%

production uptime SLA

Compliance posture

Compliance is a feature, not a constraint.

RBI DLG

Disclosures, consent capture, audit trail — Sept 2022 framework and updates.

SRO under FACE

Pre-built disclosures and reporting for Self-Regulatory Organisation obligations.

Scale-based regulation

Pre-built reports for Base, Middle, Upper and Top Layer NBFCs.

NBFC-MFI

Qualifying-asset ratio reporting, household indebtedness checks.

Section 8 lenders

Companies Act overlay built in.

SOC 2 + ISO 27001

In process for 2026. India-resident data on AWS Mumbai today.

Proof

What the numbers look like
once SquareNow is in place.

Aggregated across production deployments at fintech NBFCs and co-operative banks running on SquareNow. AUM bands range from ₹40 Cr to ₹3,200 Cr.

4–6 weeks

from contract signed to first loan disbursed

60–70%

of bucket-1 collections handled by THALA without a human

<90s

median KYC turnaround on a complete digital file

50–60×

ops leverage — one human supervisor for what was a 50-person back office

Customers

Three deployments. Three operating models.

We do not name customers without permission. The shapes below are real; the brands are anonymised.

Fintech NBFC

2-person founding team, ₹40 Cr AUM in 14 months

Personal loans + MSME working capital. Went live in 5 weeks on SquareNow + PaisaNow agent app. THALA handles bucket-1 collections; one operations lead supervises. No back office at all.

Co-operative bank

72-year-old institution, ₹1,800 Cr AUM, full migration

Replaced a 14-year-old custom LOS and an Oracle-based LMS. 9-week parallel run, single-tenant deployment on AWS Mumbai. Compliance reporting time dropped from 11 days to overnight.

Lending startup → NBFC

Pre-NBFC fintech scaling to scheduled NBFC

Started on SMILE-MaaS so the team could focus on credit policy, not operations. Migrated to self-run SquareNow 6 months after NBFC license. Single platform across both stages.

Who SquareNow fits

If you are running one of these,
SquareNow is built for you.

Fintech NBFC, ₹50–500 Cr AUM

Tech-native team, multi-product, looking for an LMS+LOS that does not require a 12-month implementation.

Co-operative bank, ₹500 Cr – 5,000 Cr AUM

Replacing legacy LOS / LMS / core overlays. Need single-tenant deployment and parallel-run discipline.

Traditional NBFC scaling agents

SquareNow as the back-end, PaisaNow as the agent layer, one operating system across both channels.

Pre-NBFC lending startup

SMILE-MaaS first so the team can prove the credit model; migrate to self-run SquareNow once the license clears.

HFC / SFB / niche lender

Vehicle, education, healthcare, gold, MSME or housing — the workflow engine bends to the product, not the other way round.

NBFC adding a BC business

BC sponsor reporting, agent management and lender connectivity in one stack.

See SquareNow run on your portfolio

A 30-minute demo on your data. No slides.

Tell us your AUM band, product mix, and what the next 90 days look like. We will respond within one business day.

Book a walkthrough See pricing