Privue, a startup focused on AI-powered
risk intelligence for enterprises, has raised an angel round of funding. The
round saw participation from owners of large manufacturing companies, along
with senior leaders from real estate, wealth management, and insurance.
Gurugram-headquartered Privue, which
operates under Nexvue Technologies Private Limited, will use the capital to
deepen its AI capabilities and expand its go-to-market presence across sectors
including pharma, MedTech, consumer electricals, agro, chemicals, and other
manufacturing segments.
Founded by Saurabh Verma and Snehil Vijay,
Privue is building a web-based AI risk analytics application that converts
fragmented data—credit bureau records, GST signals, financial filings, and
legal records—into predictive intelligence on dealers and distributors, helping
CFOs, credit heads, and channel managers make faster, data-backed decisions.
Saurabh, Co-founder and CEO, is an alum of
SRCC and ISB Hyderabad, and brings two decades of financial risk management
experience, including seven years at Moody's, where he worked on data solutions
and risk assessment for banks and financial institutions across the US and the
UK. Snehil, Co-founder and CPO, is an IIT Roorkee alum who worked at HSBC and
JP Morgan before starting Privue.
The startup says most mid-to-large Indian
enterprises still depend on weeks of manual data collection and informal credit
judgments to manage dealer and distributor networks, with collection problems
often surfacing too late to act on.
At the core of the application is an
analytics engine that ingests data across public and proprietary sources to
score dealer risk and algorithmically generate credit terms. The startup
applies this across three stages of the dealer relationship. For dealer
discovery, companies can search from a database of over one million dealers,
filtered by HSN code and location, with each dealer assigned a quality score
derived from publicly available information using a heuristic model—enabling
better dealer selection driven by data rather than field referrals alone.
Before onboarding, the application runs assessments covering GST turnover-based
capacity, compliance, and credit bureau profiles, and recommends credit
terms—advance percentage, credit period, and credit limit—calibrated to the
dealer's risk profile and the company's policy. It also sources geo-tagged
facility photographs for physical verification, reducing the need for onsite
visits.
Once a dealer is onboarded, the application
applies analytics to invoicing and collections data to detect early signals of
dealer stress before they turn into bad debt, and automates reminders for
post-dated cheque and bank guarantee due dates.
Two of the application's agentic AI
capabilities have found particular resonance with clients, according to the
startup. A conversational workspace allows CFOs and Business Development heads
to query their dealer portfolio in natural language and get specific answers in
minutes, instead of waiting days for teams to compile reports. An AI calling
agent handles follow-up calls for overdue collections, cutting the time finance
teams spend chasing payments without adding headcount.
"Saurabh understood the problem from
every angle. Snehil knew exactly how to build the solution," said one of
the company's angel investors. "That combination is exactly what a
platform like this needs."
The startup plans to target enterprises
across pharma, MedTech, Consumer Electricals, Agro, chemicals, and other
manufacturing sectors, where dealer and distributor networks form the backbone
of distribution.