The Coordinating Layer for Primary Care Revenue.

No single Primary Care practice has enough claim volume to see its own denial patterns, payer behavior, or coding risk. mediCLARUS is building the infrastructure layer that sees it across all of them.

The Problem

Primary Care is underserved by design.

Primary Care practices lose an estimated 15 to 20 percent of earned revenue annually to preventable billing failures, not from poor clinical care, but from infrastructure that was never built to see the pattern across a fragmented market.

Largest

Highest claim volume of any segment.

Thinnest

Lowest margins in U.S. healthcare.

Most fragmented

Thousands of independent practices, none large enough to see their own denial patterns, payer behavior, or coding risk on their own.

The Opportunity

Fragmentation is the opportunity.

Whoever builds the coordinating layer across these practices first, the one that actually sees the data, owns the segment.

Three tailwinds are driving Primary Care’s importance right now:

Policy and ACA mandates

Top-tier preventive services covered at zero out-of-pocket keeps patient demand structurally high.

CMS value-based push

CMS's stated goal is 100 percent of Traditional Medicare beneficiaries in an accountable care relationship.

Employer demand

Self-insured employers fund Primary Care upfront to cut catastrophic specialty claims later.

The Market Gap

Not built for this segment.

The global RCM market is engineered for high-dollar, resource-intensive workflows: procedural complexity, facility overhead, diagnostic severity. Primary Care runs on a different logic entirely: clinician specialty focus and preventive intent.

Established RCM vendors were built for someone else, and private equity consolidation is pushing them further upmarket, away from the segment mediCLARUS serves.

The Technology

Glazion by mediCLARUS.

Our proprietary AI engine, built for the trust problem AI usually creates. This is the layer behind the layer: the technology that makes mediCLARUS’s coordinating layer real.

Deterministic, not probabilistic

Neurosymbolic architecture, not a large language model guessing at patterns.

Traceable to CMS rules

Every coding recommendation traces to a specific, citable CMS rule.

Auditor-verifiable

Independently verifiable by any compliance auditor, on demand.

The Model

Land on the wedge. Expand from there.

We land on denial management first: the highest pain, most immediate revenue bleed for a practice, and the lowest switching cost, since it requires no EMR or clinical workflow change on day one.

From there, the model expands into coding audits and credentialing, compliance reviews and EMR optimization, and an AI analytics layer. Land and expand, not sequential upselling.

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