End-to-end claim integrity for U.S. health insurers.

ClaimClean supports the full claim review lifecycle — intake triage, policy screening, medical-record analysis, audit evidence, and adjudication support — with auditor oversight and PHI protection at the core, and no claim data in consumer AI tools.

PHI minimization first
Human-in-the-loop review
Evidence-ready reports
The problem

Claim auditing is too important for slow manual workflows — or unsafe AI shortcuts.

Payer and audit teams face rising claim volume, evolving CMS guidance and payer-policy requirements, and strict expectations for protecting sensitive patient information. ClaimClean is built for the middle ground healthcare teams actually need: AI assistance with human oversight, explainable outputs, and privacy-first data handling.

Manual review doesn't scale

Detailed medical-record review can take weeks per case, while claim volume keeps growing faster than audit teams do.

Policy churn is constant

CMS guidance, coding standards, and payer policies keep changing — and applying them consistently by hand is difficult.

PHI raises the stakes

Sensitive medical records create real privacy and compliance risk in every workflow that touches them.

Unmanaged AI is a liability

Pasting claim data into consumer AI tools can expose PHI and produce outputs no auditor can defend.

The platform

Three modules. One evidence-driven audit workflow.

Anonymization Service protects sensitive patient information before analysis. Medical Fraud Filter screens claims against configurable rules, policies, and guideline checks. Audit Insights Assist analyzes medical records and generates evidence-rich reports for human reviewers.

ANS

Anonymization Service

Protects sensitive patient information before claim data is used for analytics, review, or AI-assisted workflows.

  • Detect and reduce PHI exposure
  • De-identification and redaction workflows
  • Privacy-aware analytics and audit review
Explore ANS
MF2

Medical Fraud Filter

Screens claims using configurable policy and guideline checks aligned with CMS guidance, payer policies, and internal audit priorities.

  • Predefined and configurable rule sets
  • Flag claims for deeper review
  • Prioritized queues with explainable findings
Explore MF2
AIA

Audit Insights Assist

Analyzes medical records, surfaces relevant evidence, and generates graphical reports that highlight potential review signals.

  • Analyze claim documents and records
  • Highlight potential fraud, waste & abuse indicators
  • Visual summaries and evidence-backed reports
Explore AIA
End-to-end

One platform across the claim review lifecycle.

ClaimClean is built to support U.S. health insurers end to end — from the moment a claim packet arrives to the report an adjudication team can act on, with team oversight throughout.

Secure intake & triage

Claim packets and records arrive through structured, controlled intake and are prioritized for the reviewers who need them first.

PHI protection

Anonymization Service minimizes and de-identifies sensitive patient information before anything downstream runs.

Policy & guideline screening

Medical Fraud Filter applies configurable checks aligned to CMS guidance, payer policies, and internal audit criteria.

Medical-record analysis

Audit Insights Assist analyzes records and surfaces potential review signals with the evidence behind each one.

Evidence & adjudication support

Evidence-ready reports give adjudication, appeals, and escalation teams findings they can validate and defend.

Oversight & collaboration

Managers track claim activity, team performance, and completion rates, while built-in messaging keeps auditors, providers, and admins on the same case page.

How it works

From raw claim packet to review-ready evidence.

Every stage keeps a human control point. ClaimClean surfaces signals and organizes evidence — qualified auditors validate findings and decide next actions.

Human-led by design. ClaimClean does not make final fraud determinations. Final decisions always remain with qualified human reviewers.
  1. IntakeReceive the claim packet and associated medical records through secure intake.
  2. ProtectMinimize or anonymize PHI according to the workflow's data-handling needs.
  3. ScreenApply configured policy and guideline checks across the claim.
  4. SurfaceHighlight potential fraud, waste, abuse, or documentation inconsistency signals.
  5. ReportGenerate auditor-ready reports with supporting evidence and visual summaries.
  6. DecideA human auditor reviews, validates, and determines the next action.
Trust & compliance

Designed so compliance teams can say yes.

Healthcare AI is only useful if buyers can trust the workflow. ClaimClean is designed around PHI minimization, application-level security, human review, and explainable audit outputs.

PHI minimization Application-level encryption Human-in-the-loop review Audit trail & explainability Controlled AI deployment options HIPAA-aligned workflow design
Who it's for

Built for the teams that carry the audit burden.

Healthcare payers

Reduce manual review burden and bring consistency to high-volume claim audit workflows.

For payers

TPAs

Scale pre-review and evidence generation across outsourced, high-volume claim operations.

For TPAs

Cost-containment firms

Accelerate audit throughput with configurable checks and exportable, defensible findings.

For cost containment

SIU & audit teams

Surface potential fraud indicators with the supporting evidence investigators need.

See the workflow
Where we are

Early-stage, and serious about it.

ClaimClean is an early-stage InsurTech company focused on U.S. healthcare insurance claim audit workflows. We would rather earn trust with evidence than with hype.

  • Founded by Shorya Shriwastav and Chirag Patil
  • MVP developed and demo-ready
  • Focused on U.S. payer, TPA, and cost-containment workflows
  • Actively seeking payer, TPA, and BPO pilot partners
  • Engaged with the U.S. InsurTech community, including InsurTech NY
Get started

Bring AI into claim auditing without removing auditor judgment.

Tell us about your claim volume and audit workflow, and we'll scope a pilot that proves value on your own cases.