Products

Banks

Digital-first KYC and customer onboarding for bank account opening
Industries

Financial Services

Prevent fraud while you increase revenue, and drive up your customer conversion

Education

Enable stress free e-learning for your students

Logistics and eCommerce

Verify quickly and easily & increase safety and trust with instant onboardings

Gaming

Facilitate responsible and fraud-free gaming

Remittance

Comprehensive KYC and AML solutions to reduce financial risk and enhance trust

Small Business Lending

AI-driven document checks for faster lending

Crypto

Meet your crypto compliance needs & enforce seamless end to end verification

Marketplaces

Streamline registration, be compliant & secure marketplace operations
Use Cases

Age Verification

Instantly verify a customer’s legal age

Deepfake Detection

Combat deepfake fraud and onboard with confidence.

Sales PDF Extraction

Capture & validate data from sales PDFs to accelerate lending decisions

Document Verification

Verify government ID documents in real-time

Fraud Detection

Catch fraudsters proactively with AI-powered fraud prevention

Bank Statement Analysis

Analyze cash flow and underwriting risk in seconds

Address Verification

Onboard users globally using PoA

Industry Classification

Auto-classify businesses with accurate SIC/NAICS codes for smarter lending

Risk Report Automation

Extract insights and reduce underwriting analysis time
Customer
Pricing
Resources

Academy

Blog

Glossary

About Us
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The Financial Data Reality Check

How Well Is Your Financial
Data Process Working?

Take this quick quiz to find out if you're truly making the most of your user’s financial data.

01 of 08

How does your system handle financial
data collection?

a) We rely only on one method (e.g., Account Aggregators or document uploads)

b) We offer multiple ways but struggle with low conversion

c) We have a seamless fallback mechanism for better user coverage

What happens if a user’s bank doesn’t
support Account Aggregator (AA) yet?

a) They drop off, and we lose a potential customer

b) We ask them to upload documents, but processing is slow

c) We provide both AA and document upload options, ensuring seamless conversion

How quickly does your system return a
decision during the customer journey?

a) Hours or days – our team manually reviews it

b) A few minutes – but STP is bad so we still need manual verification

c) Instantly – automated analysis with fraud detection

How does your system handle scanned or image-based
bank statements and different statement formats?

a) It fails to process them, leading to user drop-offs

b) We rely on manual efforts to extract data, which is slow and costly

c) Our system seamlessly processes scanned PDFs, multiple templates, and detects tampering automatically

What’s your biggest challenge with financial
data analysis today?

a) High drop-offs due to a complicated process

b) Expensive manual operations and slow turnaround

c) We’ve optimized it, but always looking to improve

How do you verify a user’s income from bank
statements or Account Aggregator data?

a) We manually review and analyze the statements

b) We use basic OCR tools, but accuracy is a challenge

c) Our system automates income validation with high accuracy and fraud detection

Have you explored alternative solutions for
financial data processing?

a) Yes, and we are actively looking for a better solution

b) Yes, but switching seems complex and time-consuming

c) No, we’re comfortable with our current process

What’s stopping you from upgrading your
financial data processing system?

a) We’re not sure if another solution will be better

b) Integration and transition seem like a hassle

c) We’re open to switching if it improves efficiency and reduces cost

How Well Is Your Financial Data Process Working?

How Well Is Your Financial
Data Process Working?