Sell more on the platforms you already use.
Credit embedded into the marketplaces, distributors and SaaS your merchants run on.
- ▸Platform-native journey
- ▸Decision in minutes
- ▸Loan up to ₹50 L
UGRO Capital is India's MSME growth partner, combining deep sector intelligence and DataTech underwriting to unlock institutional credit for Bharat's entrepreneurs.
6.3 crore Indian MSMEs power one-third of the country's GDP and employ 11 crore people — yet face a credit gap of over ₹130 Lakh Cr because traditional lenders can't read their business.
UGRO Capital was built to close that gap. We combine deep sector knowledge with a proprietary DataTech engine, GRO Score, that underwrites cash flows, GST data and bureau signals to deliver institutional credit at the speed of business.
Credit embedded into the marketplaces, distributors and SaaS your merchants run on.
A Loan Against Property lets businesses raise funds by pledging residential, commercial, or industrial property.
Asset-backed loans for plant, machinery and equipment — flexible LTV and tenure tuned to manufacturing MSMEs.
We rebuilt the MSME lending workflow on top of data. No branch tours, no paper forests — just a clean four-step journey.
2-minute online form. Or drop into one of our 300+ branches.
GRO Score reads GST, bank flows and bureau data in real time.
Sanction inside 72 hours for most MSME profiles.
Money in your account — straight into the business.
GRO Score is UGRO's proprietary AI/ML underwriting model. Instead of asking for three years of audited financials, it looks at the data your business already generates.
How GRO Score works →Our GRO Score underwriting models are built on deep, sector-specific data across eight high-growth verticals — each broken into 180+ sub-sectors.
"UGRO didn't ask me for three years of audited books. They looked at my GST and gave me a decision in two days."
"First time a lender treated my shop like a real business. The branch team spoke Gujarati and made the form easy."
"Bought a second milling machine and doubled output in eight months. The machinery loan was built around my production cycle."