Errors Compound Downstream
A charge captured wrong propagates through coding, submission, and payment posting — every upstream failure becomes a denial, delay, or write-off.
Trusted by startups and global leaders
Medical Billing in Theory. In Practice.
Most billing software was built to process claims — not to prevent the failures that make claim processing expensive.
Denials Are a Lagging Indicator
By the time a denial arrives, revenue is delayed 30–90 days. Most billing ops work denials after the fact instead of preventing them before the claim leaves.
The Revenue Loss Is Predictable
3–5% of net patient revenue written off yearly. On a $50M base that's $2.5M — lost not to undelivered care, but to billing infrastructure that didn't collect it.
What We Build
The full revenue cycle stack — built to prevent revenue leakage at the step where it originates.
Where Intelligence Changes the Revenue Cycle
Five AI capabilities that shift billing from reactive claim processing to proactive revenue protection. Each is trained on your data, not applied from a generic model.
Denial Prediction Before Submission
Trained on your historical claims and denial patterns, scores each claim before submission and flags the specific factors driving the risk. Claims that would have denied get corrected before they leave the system.
Coding Accuracy & Specificity
Reads your documentation patterns, flags specificity improvements the documentation supports, and calibrates to your specialty — not a generic model. The difference shows up in audit findings and reimbursement, not just a demo.
Underpayment Detection
Compares every payment to the contracted rate, flags variances, and generates documentation to pursue recovery. Most organizations are underpaid by at least one payer and don't know it — because no one can do this manually at scale.
Authorization Requirement Intelligence
Maintains current payer auth rules and flags at the point of ordering when a procedure or medication requires authorization — before it becomes a retrospective denial.
AR Prioritization
Scores outstanding claims by recovery probability, time sensitivity, and dollar value — so billing staff work what matters most, not what surfaced first.
Billing Platforms We've Built. What Changed.
Each result ties to a specific billing failure we fixed.
Talk to Our Team98%
Collection rate — Multi-specialty RCM Platform. Denial rate cut from 18%+ to under 3%. 15-day average reimbursement.
85%
Reduction in coding errors — Oncology Billing System. Chemotherapy billing and prior auth gaps fixed. Drug cost recovery up 22%.
60%
Group denial rate reduction — Dental DSO Billing Platform. 25 locations unified. Coding standardized across all sites.
96%
Clean claim rate — Behavioral Health Billing. Up from 71%. Time-based E&M errors eliminated. Payer doc rules built into the workflow.
19 Days
AR days — Physical Therapy RCM. Down from 48. Medicare cap management automated. Documentation compliance 100%.
$180K
Underpayment recovery per quarter — Ambulatory Surgery Center. Contract variance tracking automated. Implant cost recovery up 31%.
How We Build Billing Software
We start with your denial data, not a requirements template. Hover or tap a stage to see what it involves.
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Start With Denial Data
Start With Denial Data
We review your denial patterns, AR aging, and collection rate by payer. Those gaps define the build priority — not a template.
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Payer Rules Built In
Payer Rules Built In
Claim requirements, modifier rules, prior auth policies, and timely filing limits built into the platform — not left for billing staff to manage manually.
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EHR Integration From the Start
EHR Integration From the Start
Every integration — EHR, scheduling, practice management — planned during discovery and built as a first-class component, not bolted on later.
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AI Trained on Your Data
AI Trained on Your Data
Denial prediction and coding AI built on your historical claims — useful from launch, not after twelve months of accumulation.
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Reporting for Revenue Cycle Leaders
Reporting for Revenue Cycle Leaders
Built around the decisions your billing leadership actually makes — key metrics surfaced, detail available when needed.
Compliance We Treat as Engineering Inputs, Not a Checklist
Every standard is scoped during discovery and built into the platform as it's developed — spanning privacy, billing, coding, payer, and security.
Data Privacy
HIPAA & Data Privacy
Applied to every data store, transmission, and access control.
Billing Standards
EDI & Claims Standards
How claims, eligibility, and remittance data move between payers.
Coding Standards
Clinical Coding & Reimbursement
How diagnoses, procedures, and supplies get coded and reimbursed.
Payer & Coverage
Payer Rules & Patient Rights
Payer rules, prior auth mandates, and patient transparency rules.
Legal & Compliance
Legal & Regulatory Compliance
Fraud, abuse, and self-referral rules shaping billing design.
Security
Security & Data Protection
Security certifications and payment standards for PHI-handling platforms.
Revenue Already Earned Shouldn't Require a Fight to Collect
Denials, underpayments, and prior auth gaps are predictable failures of billing infrastructure built to process claims instead of protect revenue. Thirty minutes. No pitch.
Book a Discovery Call
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Highly Rated on Trustpilot
Verified Agency
Top App Development Company
ASSOCHAM Member
Frequently Asked Questions
[ 1 ]
How is custom billing software different from a product like Kareo or AdvancedMD?
Commercial platforms work until your billing requirements outgrow them — specialty coding complexity, complex payer mixes, denial patterns that need AI to fix. Custom software removes that ceiling.
[ 2 ]
How does denial prediction actually work in practice?
Trained on 2–3 years of your claims and outcomes, the model scores each new claim for denial probability and surfaces the specific factors driving it. Staff corrects flagged claims before submission. The model improves as more outcome data accumulates.
[ 3 ]
Can you integrate with our existing EHR?
Yes — Epic, Cerner, Athenahealth, Meditech, eClinicalWorks, and several specialty EHRs. Integration scope is defined during discovery and built as a core component.
[ 4 ]
How long does it take to build a medical billing platform?
Single-specialty focused build: 4–7 months. Full enterprise RCM with AI and multi-payer integration: 8–14 months. Milestone-based timeline provided after discovery.
[ 5 ]
What happens to our existing billing data during the transition?
Migration is planned during discovery — claims history, AR aging, payment history, patient balances. What migrates, what archives, and the parallel operation period are all defined before development begins.
[ 6 ]
Who owns the platform?
You do. Full IP transfer at project close. No per-claim fees, no licensing costs that scale with your billing volume.
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