Fintech startups struggle to discover and onboard NBFC partners for lending to underserved borrowers due to a relationship-driven, opaque process lacking transparent discovery and standardized onboarding.
Existing NBFC partnership discovery relies heavily on warm introductions and personal networks, with no structured platform to identify, evaluate, and onboard partners based on objective metrics like risk appetite, co-lending terms, or embedded finance capabilities.
Workarounds Described
- relies on warm introductions to approach NBFCs
- partnership discovery feels highly relationship-driven without any central directory
Implied Software Gaps
- A centralized platform to discover and compare NBFCs based on partnership criteria and readiness
- Algorithmic matching to replace reliance on personal networks for finding suitable lending partners
PartnerMatch Lending
A platform connecting fintech startups with NBFCs for lending partnerships. Provides a searchable database of NBFCs with their partnership criteria, risk profiles, and co-lending terms. Includes analytics to match fintechs with suitable partners and automated onboarding workflows to reduce reliance on warm introductions.
- Searchable directory of NBFCs with partnership readiness, risk appetite, and preferred models (co-lending, FLDG, LSP)
- Smart matching algorithm based on borrower profile, ticket size, and geographic focus
- Secure document exchange and digital onboarding workflows
- Performance dashboard tracking partnership metrics and deal flow
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