Our Story

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"it is a capital mistake
to theorize before one has data."

” Sherlock Holmes, “A Study in Scarlett”

In today’s age of data inundation, it is also a capital mistake to delay
the automation of data-driven processes.

We are a thirteen-year-old product technology platform that deals with thousands of data types to help our customers automate data-driven risk- and price-reducing decisions.

We help our customers bridge that gap between data and insights.

Financial service providers are dealing with impatient customers, disruptive challengers, large amounts of disparate data, and stringent privacy and compliance environments. Through all this, they seek to focus on their core competence – using insights to price and manage risk.

Our business

We help financial institutions deal with a practically unlimited range of relevant (un-)structured data to automate customer onboarding, decisioning, risk pricing, and fulfilment. We extract, categorize and analyze this data from hundreds of financial institutions to help lenders automate data-driven risk and pricing decisions. Perfios is cash- and EBIDTA-positive since 2018 and has solid support from marquee investors such as Bessemer Venture Partners and Warburg Pincus.

We Are PERFIOS

500 Million +

transactions categorized
per month

1700

data
formats

735

institutions
supported

175k+

Rules used

Presence in

18 countries

THE VIRTUOUS FLYWHEEL OF DATA ANALYTICS

more insights
and predictive
modeling

Greater
adoption
and usage

Domain
Expertise

Depth and
diversity
of data

real time
analytics

relevant
and timely
insights

Domain
Expertise

10 years of business experience
Expert leadership & advisory team
Servicing diverse domains: FinTechs, NBFCs, banks, wealth managers
Operations in 18 countries

Depth and
diversity of data

Bank statements, financial statements, salary slips
(In-)direct taxes ITR, Form 16, GST
Multiple ways to ingest data – aggregation, online fetch, upload, scan

real time
analytics

Average turnaround time to process reduces from hours to seconds

relevant
and timely
insights

Customized to each product, use-case, or user department
Integrated into lender’s BRE to enable E2E automation

Greater
adoption
and usage

Across sourcing channels – online, in-store, and assisted
Across processing capabilities – straight-through, back-office, and more

more insights
and predictive
modeling

Triangulation across data sources
Analytics to assess solvency and repayment capabilities
Debit scorecard to refine risk modeling, pricing and next-best-offer

“There is no compression
algorithm for experience”

Andy Jassy – CEO, AWS

Our technology platform

We started our journey by being the first to offer a cloud-hosted fully automated Personal Finance Management solution for Indian citizens. Subsequently, we built the Perfios data platform, the breadth and depth of which is still unrivalled in the industry. The Perfios data platform uses a combination of home-grown machine learning techniques to offer in-depth data analysis as per customer requirements and generate reports customized for each customer. We scaled from a few thousand transactions a month to millions per day, without any degradation of performance. Our engineers, their thinking styles, and their problem-solving approaches offer a professional experience not easily available in most companies..

Privacy and
security by
design

Privacy and security are at the heart of our design. Borrowers are customers of lenders who use the Perfios data platform. As a design principle, we DO NOT store Personally Identifiable Information (PII) or account information. We are independently audited by PwC, Deloitte, TUV-SUD – global leaders in security assessment and certification. We are ISO 27001-2013 certified and audited as a Paladion – PLYNT Certified Application – 4 times a year. Trust Guard runs 46,000 tests daily in our environment. In addition, our clients run their own audit on our systems as part of their due diligence. In 2019, we successfully underwent 75 separate audit processes with no critical issues identified.