OnEMI Technology Solutions Limited IPO
Business Overview of OnEMI Technology Solutions Limited
OnEMI Technology Solutions Limited, popularly known through its digital lending platform Kissht,
is a technology-enabled lender in India. The company primarily offers digital loans through its mobile application
for consumption, business, emergency and other financial needs.
What Does OnEMI Technology Solutions Do?
OnEMI Technology Solutions provides quick, accessible and personalized credit solutions through its mobile app.
The company focuses mainly on India’s young, digitally connected and credit-underpenetrated mass market segment.
The company uses technology, data analytics, artificial intelligence and machine learning to assess borrowers,
approve loans, manage servicing and support collections.
In simple words, OnEMI Technology Solutions is a digital lending company. It uses technology and data to provide
fast loans to customers who may not be fully served by traditional banks and financial institutions.
About Kissht Platform
Kissht is the company’s mobile-first lending platform. It allows customers to apply for loans digitally and receive
quick loan offers based on the company’s underwriting and risk assessment models.
63.73 Mn
Registered Users
11.17 Mn
Customers Served
2.87 Mn+
Active Customers
Rs. 59,557.53 Mn
AUM as of Dec 31, 2025
| Particulars |
Details |
| Net Promoter Score |
95 as of December 31, 2025 |
| Play Store Rating |
4.6 based on over 1.25 million user reviews as of March 31, 2026 |
| App Store Rating |
4.3 as of March 31, 2026 |
| iOS Launch |
The company launched its mobile application on iOS in December 2025 |
Target Customer Segment
The company is focused on young individuals within India’s mass market segment. According to the 1Lattice Report,
this segment represents India’s emerging middle class and is aspirational, digitally connected and underpenetrated
in credit.
Customer Type
- Self-employed customers: 51.17%
- Salaried customers: 48.83%
- Based on loan counts during April to December 2025
Customer Age
- Average customer age: 32 years
- 73.5% users are under the age of 35
- Young borrowers are generally more comfortable with digital lending apps
Geographic Presence
- 63.38% customers from metro and Tier 1 cities
- 36.62% customers from Tier 2 and beyond
- Top 50 cities considered as metro and Tier 1 cities
Credit Profile
- Median CIBIL score: 746
- 74.09% customers had credit score between 700 and 760
- 21.19% customers had credit score above 760
Income Profile of Customers
During the nine months ended December 31, 2025, 67.65% of the company’s customers earned monthly income ranging
between Rs. 25,000 and Rs. 75,000. This shows that OnEMI mainly focuses on middle-income customers.
| Monthly Income Segment |
Share |
Investor Interpretation |
| Rs. 25,000 to Rs. 50,000 |
28.69% |
Entry-level and lower-middle income digital borrowers. |
| Rs. 50,000 to Rs. 75,000 |
38.96% |
Core middle-income customer group for the company. |
| Rs. 75,000 to Rs. 1,00,000 |
20.46% |
Relatively higher-income mass market customers. |
| Above Rs. 1,00,000 |
11.89% |
Smaller share of higher-income customers. |
Purpose of Loan
Customers use loans from the Kissht platform for multiple needs, including business, consumption, emergency and other purposes.
| Purpose of Loan |
Share |
Meaning |
| Business |
47.99% |
The largest share comes from business-related borrowing needs. |
| Consumption |
29.72% |
Loans used for personal consumption or lifestyle-related needs. |
| Emergency |
13.46% |
Loans used for urgent or unexpected financial requirements. |
| Other |
8.83% |
Other miscellaneous borrowing purposes. |
The high share of business-related loans indicates that the platform is not limited to personal spending.
It also supports small business and working-capital-type customer needs.
Problems Faced by Mass Market Borrowers
According to the 1Lattice Report, the mass market segment has historically been underserved by banks and conventional
financial institutions. This is mainly due to limited tailored products and insufficient credit information for effective
credit assessment.
Limited and Rigid Loan Products
Traditional lenders may offer standard loan products with limited flexibility in tenure, amount and repayment structure.
Manual Legacy Processes
Conventional underwriting can involve manual checks, longer turnaround time and higher documentation requirements.
Poor Customer Experience
Slow response time and limited personalization may lead to poor customer engagement and lower satisfaction.
Kissht’s Approach
Kissht uses digital onboarding, AI-based underwriting, flexible loan offerings and faster decisioning to address these gaps.
How Kissht Solves These Challenges
Tailored and Flexible Products
- Loan tenures range from 6 to 60 months
- Average monthly approval rate was 11.20% for fresh applications
- Average monthly approval rate was 73.54% for repeat applications
Quick and Convenient Loans
- More than 85% of fresh users received loan offers within 10 minutes
- 90% of repeat users received loan offers within 6 minutes
- Fast turnaround improves customer experience
Customer-First Philosophy
- More than 50% repeat customer base
- Consistent engagement with customers
- Tailored credit offerings for repeat borrowers
Digital Lending Experience
- Mobile-first application process
- Technology-led loan journey
- Personalized loan offers based on customer profile
Customer Acquisition Strategy
OnEMI Technology Solutions uses a diversified multi-channel customer acquisition strategy. The company acquires customers
through both online and offline channels.
| Acquisition Channel |
Share in New Customer Acquisitions |
Meaning |
| Digital Marketing |
45.51% |
Customers acquired through search engines, social media and digital campaigns. |
| Merchant Partnerships |
23.28% |
Customers acquired through small businesses, shop owners and retail outlets. |
| E-commerce |
7.51% |
Customers acquired through e-commerce platforms and embedded finance partnerships. |
| Organic Acquisition |
23.70% |
Customers acquired through brand recall, word of mouth and existing user influence. |
In Fiscal 2025, the company appointed former Indian cricketer Sachin Ramesh Tendulkar as its brand ambassador
to build consumer trust and improve brand recall.
Credit QR and Offline-to-Online Model
The company uses an offline-to-online customer acquisition model through credit QR installations at merchant outlets.
This helps the company acquire customers from physical retail locations and bring them onto its digital platform.
In the nine months ended December 31, 2025, the company had 52,396 active merchants facilitating credit QR-led
customer acquisition.
According to the 1Lattice Report, Kissht is one of the few new-age digital lending players deploying a credit QR-based
offline-to-online customer acquisition model in India as of December 31, 2025.
Risk Management and Underwriting
Risk management is central to the company’s business model. Since OnEMI operates in digital lending, its ability to
correctly assess borrower risk is very important for long-term profitability and asset quality.
AI and ML-Based Underwriting
- Uses advanced data analytics
- Uses artificial intelligence and machine learning models
- Uses statistical models for credit decisioning
- Supports fast and data-led loan approvals
Data Variables
- Over 400 key data variables used as of December 31, 2025
- Credit history
- KYC credentials
- Banking and transaction data
- Digital behaviour data
Specialized Models
- 39 specialized underwriting sub-models
- Different models for different customer segments
- Factors occupation, credit bureau depth and banking behaviour
Repeat Customer Checks
- Uses repayment history
- Checks latest bureau data and leverage indicators
- Includes income pattern and fraud checks
- Declined over 26.46% repeat applicants despite positive repayment history
Model Development and Data Depth
The company’s model development starts with a feature library of over 7,000 variables. As of December 31, 2025,
75.12% of these variables were related to credit and financial indicators.
The remaining variables relate to consumption behaviour and online activity patterns. This allows the company to assess
borrower risk beyond traditional credit bureau scores.
This is important because traditional lenders may rely heavily on static credit bureau scores, while OnEMI uses behavioural
signals, alternative data and machine learning models to assess borrower credibility more comprehensively.
Collections Infrastructure
OnEMI Technology Solutions has built a multi-tiered collections infrastructure supported by technology, tele-calling
teams and field agents. The company uses its proprietary Automated Collections System to manage collections across
different delinquency stages.
| Collection Resource |
Count / Details |
| Tele-callers |
1,074 |
| Field Agents |
8,291 |
| Supervision Staff |
260 |
| Coverage |
Over 17,000 pin codes across India |
The company uses automated reminders before due dates, targeted outreach after defaults, predictive analytics,
tele-calling, field collection and legal recovery actions where required.
Early Warning Risk Triggers
The company uses automated early warning triggers to identify high-risk customers, geographies and customer segments.
These triggers allow the company to take preventive action before risks become larger.
📍 Exposure Management Triggers
These triggers control exposure across geography, demographics, profession and credit profile.
If exposure crosses predefined limits, the system can tighten approvals.
Risk-Based Triggers
These triggers use model performance data and underwriting parameters to dynamically change risk thresholds
based on portfolio signals.
| Risk Control Metric |
Details |
| Early warning instances flagged |
Over 419 instances during the nine months ended December 31, 2025 |
| Geographies where disbursements were discontinued |
Over 305 geographic areas / pin codes across India |
| Low-income segments rebalanced |
Five low-income segments due to elevated leverage indicators |
| Applications rejected due to gaming behaviour risk |
0.57% of applications |
Technology Platform
OnEMI operates a fully technology-enabled, cloud-hosted lending platform. The company has end-to-end ownership and control
over its product and technology systems.
Core Technology Systems
- Loan Origination System
- Loan Management System
- Automated Collections System
- Customer onboarding system
- Underwriting and disbursement systems
In-House Technology Team
- 331 engineers and product specialists as of December 31, 2025
- End-to-end technology ownership
- Platform integrated across lending lifecycle
| Technology Metric |
Performance |
| Platform Uptime |
99.99% |
| Average Application Response Time |
290 milliseconds |
| API Requests |
11.30 billion during the nine months ended December 31, 2025 |
| Crash-Free Rate |
99.32% |
AUM and Funding Model
The company’s AUM includes both on-book loans and off-book loans. This structure helps the company scale through its own
NBFC subsidiary as well as lending partnerships.
On-Book Loans
On-book loans are loans on the balance sheet of Si Creva, the company’s wholly-owned subsidiary and an RBI-regulated
middle-layer NBFC.
Off-Book Loans
Off-book loans are loans on the balance sheet of lending partners. The company earns sourcing fees, servicing fees
and performance-linked income from such arrangements.
As of December 31, 2025, the company had a lender base of 47 lenders, including banks, NBFCs and fund houses.
Financial Growth Track Record
OnEMI Technology Solutions has shown strong growth in AUM and profitability in recent years.
| Particulars |
Details |
Investor Interpretation |
| AUM as of March 31, 2023 |
Rs. 12,679.28 million |
Starting base for recent growth period. |
| AUM as of March 31, 2025 |
Rs. 40,866.38 million |
Shows rapid expansion in loan book. |
| AUM CAGR between FY2023 and FY2025 |
79.53% |
Strong loan book growth. |
| AUM as of December 31, 2025 |
Rs. 59,557.53 million |
Further growth in the nine months ended December 31, 2025. |
| PAT in FY2023 |
Rs. 276.67 million |
Profitability base year. |
| PAT in FY2025 |
Rs. 1,606.21 million |
Strong improvement in profitability. |
| PAT CAGR between FY2023 and FY2025 |
140.95% |
Indicates rapid profit growth. |
| PAT for nine months ended December 31, 2025 |
Rs. 1,992.69 million |
Profit for nine months already higher than FY2025 PAT. |
Key Strengths of OnEMI Technology Solutions
Large Customer Base
The company had 63.73 million registered users and had served 11.17 million customers as of December 31, 2025.
Diversified Acquisition Channels
The company acquires customers through digital marketing, merchant partnerships, e-commerce channels and organic sources.
AI-Led Risk Management
The company uses AI, ML, analytics, underwriting models and early warning triggers to manage credit risk.
Scalable Technology Platform
Its cloud-native platform manages the full loan lifecycle from customer onboarding to collections.
Diversified Funding Base
The company works with 47 lenders including banks, NBFCs and fund houses.
Strong Growth Track Record
AUM grew at a CAGR of 79.53% and PAT grew at a CAGR of 140.95% between FY2023 and FY2025.
Business Strategies
Deepen Customer Relationships
The company aims to increase repeat usage and build stronger relationships with existing customers.
Acquire High-Quality Customers
It plans to continue acquiring new customers while focusing on risk quality and profitability.
Improve Credit Models
Better credit models can help improve approval quality, reduce losses and support profitability.
Use Emerging Technologies
The company aims to leverage machine learning, generative AI and other tools to improve efficiency.
Improve Profitability at Scale
Lower cost of funds and operating leverage may support profitability as the company scales.
Expand Financial Products
The company wants to build a broader financial services platform through product expansion.
Simple Interpretation for Retail Investors
OnEMI Technology Solutions Limited is a technology-led digital lending company operating through its Kissht platform.
It provides fast and flexible loans to India’s young, digitally active and credit-underpenetrated customers.
The company has a large user base, strong technology platform, AI-led underwriting, diversified acquisition channels,
strong lender relationships and rapid growth in AUM and profitability.
In simple words, OnEMI Technology Solutions uses technology and data to provide quick digital loans.
The business has strong growth potential, but investors should carefully review asset quality, credit cost,
regulatory risks, valuation and sustainability of profits before applying for the IPO.
Detailed Disclaimer
This content is prepared only for educational and informational purposes to help investors understand the business
overview of OnEMI Technology Solutions Limited. It should not be treated as investment advice, stock recommendation,
IPO recommendation, research report, buy/sell/hold advice, or any form of financial advisory.
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The information is based on details provided in the company’s offer documents and related industry disclosures.
Investors should verify all figures, dates, financials, risks and business details from the latest RHP/DRHP,
stock exchange filings and official company documents.
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IPO investing involves market risk, business risk, valuation risk, regulatory risk and liquidity risk.
Past growth in AUM, revenue or profit does not guarantee future performance.
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Digital lending companies are exposed to specific risks such as credit losses, asset quality deterioration,
customer defaults, regulatory changes, funding availability, technology failures, data privacy concerns,
cyber security risks and changes in RBI guidelines.
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Strong customer growth, high app ratings, fast loan approval, AI-based underwriting or large AUM should not be
considered as a guarantee of future profitability or listing gains.
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Investors should independently analyse the company’s financial statements, asset quality, GNPA/NNPA, credit cost,
provisioning, capital adequacy, cost of funds, customer concentration, lender relationships, regulatory compliance,
cash flows and IPO valuation before making any investment decision.
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GMP, subscription numbers, listing expectations or market sentiment, if discussed elsewhere, are unofficial or
market-driven indicators and should not be the sole basis for applying in an IPO.
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IPORupee does not guarantee allotment, listing gains, returns, future performance, price movement or accuracy of
third-party market data. Investors should consult a SEBI-registered investment advisor or qualified financial advisor
before making any investment decision.