Case Study
PayGround×Nanonets

From 6 manual fields per bill
to scan, tap & pay

PayGround's mobile app required patients to manually fill 6-10 form fields for every medical bill. A Nanonets agent now extracts all fields from bill photos automatically, pre-fills the payment form, and routes payments — with zero manual input.

99% Accuracy3 Min → 10 Seconds100% Touchless100+ Facilities
About the customerHealthcare Payments

USA · Founded 2018

PayGround is a mobile-first healthcare payment platform that makes medical bill payment as simple as Venmo. Founded in 2018 by Drew Mercer, PayGround operates across 100+ healthcare facilities in the United States.

2018
Founded
Drew Mercer
CEO
100+
Facilities
USA
Country

The Problem

PayGround's mobile app required patients to manually fill 6-10 form fields for each medical bill. Every extra field was a friction point causing drop-offs, and competitors were beginning to implement OCR.

  • 6-10 manual fields per bill — provider, patient ID, account number, amount, date, payment reference.
  • Customer drop-off at every step — friction was losing patients before bill payment was complete.
  • Competitors implementing OCR — manual processing was becoming a competitive disadvantage.
PayGround App
Open PayGround app
Camera
Photograph bill
Manual
Enter provider
Manual
Enter patient ID
Manual
Enter amount
Manual
Enter account#
Processor
Submit
Manual process repeated per bill
6-10
Fields per bill
3 min
Avg entry time per bill
Stack
PayMobile App
Manual entry

Nanonets streamlined processing, saved considerable time and resources for us. There was visible difference in app performance; we appealed to customers by making bill payment easy.

Dennis
Director of Product, PayGround
PayGround

The solution

Scan, tap & pay. Zero manual input.

Nanonets replaced manual form entry with one autonomous agent pipeline. The agent captures the bill image, extracts all required fields via OCR, validates every value, pre-fills the payment form, and routes the payment — with no manual input required from the patient.

Capture Bill
Extract Fields
Validate Data
Pre-fill Form
Process Payment

Pipeline overview

PayGround App
Mobile capture
Patient photographs bill
Nanonets
Nanonets OCR
Image sent to OCR API
Nanonets
Nanonets validate
Fields checked & scored
PayGround App
Form pre-fill
All 6-10 fields populated
PayGround App
User review
Quick confirmation
Processor
Payment processor
Payment sent
Nanonets
Nanonets flag
Low confidence
Loops back
User re-captures
6-10 manual fields eliminated · 3 min → 10 sec per bill · 100+ healthcare facilities

Impact

99%
Extraction accuracy
Across 100+ facility formats
95%
Time saved per bill
3 minutes → 10 seconds
100%
Touchless processing
Zero manual field entry
100+
Healthcare facilities
Across the US
Metric
Before
After
Improvement
Fields per bill
6-10 manual
0 manual
Fully automated
Processing time
~3 minutes
10 seconds
95% faster
Form completion rate
Low (drop-offs)
Sharply increased
100% touchless
Extraction accuracy
Variable
99%
Consistently high
Facility coverage
Limited
100+ facilities
Nationwide

AGENT ANATOMY

Nanonets Agent
Autonomous action-taking
After extraction
Agent decides path and acts
Match
Touchless processing
Nanonets
Bill captured
Provider identified ✓
Patient name found ✓
Image quality: 98% ✓
Nanonets
Fields extracted
ProviderMercy Health
Amount$284.50
Account#7729341
Nanonets
Validation passed
99% confidence ✓
All 6 fields valid ✓
PayGround App
Form pre-filled
Fields6 / 6 filled
Input0 manual ✓
PayGround App
Payment sent
Time10 seconds
StatusConfirmed ✓
Low confidence
User review needed
Nanonets
Low confidence field
⚠ Confidence < threshold
Nanonets
listening…
PayGround App
User prompted
StatusAwaiting user
Nanonets
listening…
PayGround App
Field corrected
User edited field ✓
Nanonets
Re-validated → Payment
StatusValidated ✓
Loops to Validate
Re-capture
Image quality issue
Nanonets
Image quality fail
Quality too low ✗
Nanonets
listening…
PayGround App
User re-capture prompt
QueueAwaiting photo ✗
Nanonets
listening…
PayGround App
New image
Better image submitted
Nanonets
Re-process → Payment
StatusRequeued ✓
Loops to OCR

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