Ugro Capital is a data-science company that happens to lend money - it was built from scratch to solve India’s massive MSME credit gap not with more branches, but with a proprietary underwriting engine that reads bank statements, tax filings and transaction flows the way a loan officer never could. Founded in 2018 when a veteran financier acquired a listed shell and rebranded it, the company spent its first three years building and proving that engine before ever asking the public markets to care. The recurring approach is to find a segment where traditional lenders see only missing paperwork, build a data model that sees repayment capacity instead, and then distribute through whichever channel - a branch in a Tier-3 town or an app inside a payment platform - actually reaches that borrower.
Business segments
A single lending engine powering two complementary MSME books - one secured and branch-built, the other unsecured and embedded inside the apps merchants already use - plus a legacy portfolio being wound down.
1. Emerging Market Loan Against Property: the secured annuity engine
A network of 317 branches in small-town India makes loans against property to shopkeepers and manufacturers who have no audited financials, using bank-statement patterns instead of income-tax returns to size the loan.
- Secured by real estate, priced for the risk - loans range from ₹7.5 lakh to ₹50 lakh, are backed by residential, commercial or industrial property at conservative loan-to-value ratios, and carry yields of roughly 18-19%, generating a steady interest-income stream over tenures of up to 10 years.
- Underwriting without documents - borrowers typically lack GST returns and formal accounts, so the company runs a “liquid income analysis”: it examines bank-account inflows, outflows and balance patterns to gauge what the household can actually repay, and every borrower gets a mandatory on-site field visit before disbursement.
- Branches as a moat - the 317-branch field network across 13 states, built over three years, puts a local team in the community as the first point of contact; older branches are already producing ₹68 lakhs a month in disbursements, and another 156 branches under six months old are queued to add the next layer of growth.
- Annuity compounding, not one-off gains - because the loans are secured and long-tenured, the book behaves like an annuity: each vintage keeps throwing off interest income for years, and the company describes the business as a “secured, annuity-income-compounding” franchise.
2. Embedded Merchant Finance: the high-velocity digital book
Tiny working-capital loans - average ticket size about ₹1 lakh - are offered inside PhonePe and BharatPe to kirana-store owners and traders who until now borrowed from moneylenders at 36-60% a year.
- Credit where the transaction lives - the MyShubhLife platform integrates directly into the payment and ERP apps merchants already use; a trader sees a pre-approved limit on the dashboard, draws funds instantly, and repays automatically as goods are sold, with the loan structured as equated daily instalments over roughly one year.
- Underwritten on cash flow, not collateral - the engine reads merchant GMV and real-time transaction data from the partner platform, so it can score a borrower it has never met physically; this is how the book grew 6x in 15 months to ₹2,280 crore while holding gross NPAs at 1.7%.
3. Non-core portfolio: the deliberate run-down
A collection of intermediated, DSA-led loan books - business loans, machinery loans, school finance and supply-chain finance - is being shrunk at 15-20% a year, with no new sourcing, because the company considers them yield-dilutive and capital-intensive.
- Exit by attrition - the portfolio, which includes secured business loans (₹3,334 crore AUM), machinery loans (₹2,117 crore) and smaller books, is being allowed to run off naturally as borrowers repay; the company has planned no new sourcing for these products and will redeploy the released capital into the two focus segments.
- Why walk away - these loans were sourced through direct selling agents and partnerships, which meant sharing economics and diluting the yield; the company’s post-2026 thesis is that its own data engine and distribution (branches plus embedded platforms) can generate better risk-adjusted returns without the intermediation cost.
Data-tech underwriting engine (GRO Score)
Every loan the company makes - whether secured or unsecured, branch-sourced or app-sourced - is scored by a single proprietary AI engine that digests over 25,000 data features from bank statements, credit-bureau records and GST filings and returns a risk band within 60 minutes, without human discretion.
- The data tripod - the engine pulls credit-bureau history, 12 months of bank statements and GST data, then performs historical aggregation, normalisation and trending to create a standardised risk profile across borrowers of wildly different sizes and sectors.
- Five bands, hard cut-offs - every applicant lands in one of five risk bands (A through E); for unsecured loans the company simply does not lend to D and E bands, a rule that has historically removed 80% of bad accounts just by eliminating the bottom two deciles.
- Patented and continuously tuned - the GRO Score has been granted a patent, and while its scorecards typically hold performance for 12-24 months, the company can retrain them faster if portfolio behaviour shifts; a Predictive Early Warning Signals system also monitors the live book for trigger-based alerts.
- No balance sheets asked - the company does not request profit-and-loss statements or income-tax returns; it relies on the data tripod plus KYC, then layers on legal verification, fraud checks and field investigation only after the automated in-principle decision is made.
Group structure and partners
The company is a single listed NBFC with three wholly owned subsidiaries - two acquired in FY26 to add school-finance capability and the MyShubhLife embedded-finance platform - and a liability franchise of 50-plus lenders that funds the book through bank debt, co-lending and capital markets.
- Profectus Capital - acquired in December 2025 for ₹1,399 crore in an all-cash deal, Profectus brought a ₹3,468-crore secured MSME book, a 28-branch network and the school-financing product line; a Scheme of Amalgamation to merge it into UGRO Capital is underway with an appointed date of April 2026.
- MyShubhLife (Datasigns Technologies) - the embedded-finance platform was acquired for ₹38.23 crore in an all-cash single-tranche deal completed in March 2026, bringing the technology that powers the merchant-finance book and a step-down subsidiary, Ekagrata Finance.
- Data Science Technologies - also acquired in March 2026, this subsidiary sells data-analytics and credit-intelligence services to other financial institutions, contributing a fee-income stream.
- Liability engine - the company funds itself through a three-pronged structure of bank borrowings, co-origination partnerships with banks including State Bank of India and Bank of Baroda, and loan securitisation; off-book AUM was 38% of the total as of March 2026, and the blended interest cost on its ₹10,782 crore of debt was 10.16%.