AI-native payment intelligence for specialty practices

Recover revenueyour practice didn’t know it was losing.

Revyola analyzes already-paid claims to detect hidden payer underpayments, contract variance, and reimbursement drift across specialty workflows so your billing team can recover missed revenue with confidence.

Early specialty practice partnership in progressDermatologyAllergyNo rip-and-replace workflow

1–3%

commercial revenue can quietly leak from already-paid claims each year

$200K–$500K

potential annual recovery range for a 10-provider specialty practice

Success-based

Revyola earns only when revenue is actually recovered

Product snapshot

Recovery opportunity dashboard

Sample view

Recovery opportunity

$248,300

Underpaid claims

412

Most frequent variance

CPT 99214

Top payer variance

UnitedHealthcare

Expected reimbursementObserved reimbursement
CPT 99214Variance detected
CPT 11102Variance detected
CPT 95004Variance detected

Input

Closed claims

Engine

AI variance analysis

Output

Recovery-ready insights

The problem

Most underpayments are not denied. They are simply paid short.

Across specialty outpatient care, modifier combinations, multi-line encounters, and payer-specific rules create reimbursement variance that standard denial workflows often never surface.

Silent underpayments with no denial flag

Modifier reimbursement suppression

Same-day E/M and procedure payment reductions

Multi-line bundling inconsistencies

Cross-payer variability on identical workflows

Contract logic not consistently applied

How Revyola works

From hidden payer varianceto recovered revenue

Revyola analyzes already-paid claims, detects hidden underpayments, and helps your team recover revenue through existing payer channels.

STEP 01
Workflow

Connect claims data

Securely upload or connect closed claims, remittance files, and billing exports to establish a reimbursement baseline.

Data ingestion
STEP 02
Workflow

Analyze payer behavior

AI detects reimbursement anomalies, payer drift, modifier suppression, and contract variance patterns that standard workflows often miss.

Variance intelligence
STEP 03
Workflow

Surface recovery opportunities

Revyola prioritizes impacted claims, estimated dollars at risk, and the clearest recovery paths for your team.

Actionable output
STEP 04
Workflow

Recover through existing channels

Your billing or RCM team acts through standard payer processes using clear, targeted intelligence. No rip-and-replace required.

Workflow alignment
STEP 05
Success fee

Share in recovered revenue

Revyola earns a success-based fraction only when revenue is actually recovered by the practice.

Aligned incentives

Input

Closed claims, remittance data, billing exports

Output

Prioritized recovery opportunities and payer variance insights

Commercial model

Revyola shares in a fraction of successfully recovered revenue

Illustrative ROI

Make the value concrete for the practice admin.

For a specialty practice with 10 providers generating about $8M annually, even a modest 1–3% payment variance can translate into significant revenue left unrecovered.

Practice profile

10 providers

Annual revenue

$8M

Potential recovery

$200K–$500K

Why buyers lean in

No rip-and-replace billing workflow required.

Already-paid claims contain the clearest signal of payer behavior.

Success-based economics align incentives with the practice.

Built for broad specialty care

Designed so any specialty group can see themselves in the platform.

Revyola is not limited to one clinical niche. It is built for the common commercial payment patterns that show up across procedural, diagnostic, evaluation-heavy, and multi-site specialty organizations.

Procedural specialties

Dermatology, GI, pain, ENT, ophthalmology

  • High-volume CPT combinations
  • Bundling and modifier sensitivity
  • Procedure payment variability across payers

Diagnostic specialties

Allergy, pulmonology, cardiology, neurology

  • Testing-heavy workflows
  • Multi-line adjudication complexity
  • Repeated reimbursement variance patterns

Evaluation-heavy specialties

Rheumatology, endocrinology, infectious disease

  • E/M coding sensitivity
  • Downcoding and partial payment patterns
  • Closed-claim behavior that standard reporting misses

Multi-site specialty groups

Platform groups and regional practice networks

  • Payer inconsistency across entities
  • Scale amplifies hidden leakage
  • Leadership needs pattern-level visibility

About Revyola

Building a better signal for healthcare payments.

Healthcare providers did not enter medicine to study payer behavior. They entered to treat patients, advance care, and build organizations that serve their communities.

Yet the reimbursement environment often forces specialty groups to absorb opaque payment patterns, inconsistent contract application, and silent revenue leakage that pulls attention away from care.

Revyola exists to change that. We turn closed claims into signal so providers can better understand what the payment system is actually doing, strengthen the financial foundation of their practice, and focus more of their energy on delivering high-value care.

Founder

Shailesh Kumar

Founder of Revyola and healthcare technology leader focused on using AI and payment intelligence to uncover underpayments hiding inside already-paid claims.

MBA from UCLA Anderson School of Management with specialization in Technology Management, Finance, and Entrepreneurship, and a Bachelor of Engineering in Information Technology.

Experienced in enterprise healthcare technology and complex payer-facing workflows.

Building Revyola to help specialty practices strengthen financial visibility without operational disruption.

Focused on practical revenue recovery, not dashboard theater.

Principles

The principles guiding Revyola.

Revyola is being built as a long-term intelligence layer for healthcare payments. These principles shape how we think about transparency, providers, and the future economics of care.

Transparency over opacity

Providers deserve to understand how reimbursement behaves across time, workflows, and payers. Revyola exists to make those patterns visible.

Signal over noise

The economics of care are rarely visible claim by claim. The real story emerges across patterns, not isolated events.

Empower providers

Clinical organizations should spend more time advancing care and less time deciphering hidden reimbursement behavior.

Work with existing systems

Revyola adds intelligence to the workflows specialty groups already rely on. It does not ask them to replace what is already working.

Raise the standard

A healthier payment system creates better conditions for high-value care, stronger specialty groups, and better patient outcomes.

Long-term impact

We believe payment intelligence will become a foundational layer of modern healthcare operations, not a temporary workaround.

Why groups partner with Revyola

Claims intelligence that fits the way specialty practices already operate.

For providers

See where reimbursement behavior diverges from expectation across the workflows you perform every day.

For operators

Turn closed claims into pattern intelligence that informs growth, contracting, and financial oversight.

For RCM leaders

Strengthen existing billing teams with sharper visibility instead of replacing the systems already in place.

Value

Reveal hidden payer behavior across thousands of encounters

Quantify financial impact by workflow, payer, and code pattern

Equip billing teams with actionable recovery intelligence

Support smarter payer discussions with defensible data

Surface revenue already earned but not fully paid

Create leadership visibility without operational disruption

Contact

Start the conversation.

If you lead a specialty practice, platform group, revenue cycle function, or payer strategy team, Revyola is built to help you see the financial signal more clearly.

Direct contact

info@revyola.com