๐Ÿฅ UPHELD Research ยท Feb 21, 2026

Competitive Landscape

n=31 sources  ยท  Confidence: High (patient AI), Medium (enterprise/revenue), Low (undisclosed funding)  ยท  Research by Max

Bottom Line

Five patient-facing AI appeal tools now exist โ€” Claimable, Fight Health Insurance, Fight Paperwork, Counterforce Health, and ChatGPT-as-DIY โ€” and every single one starts with "upload your denial letter." No competitor uses FHIR APIs to pull denial data automatically. The enterprise tier (Waystar, Zelis, Cohere Health) serves providers and payers, not patients. The non-profit tier (Patient Advocate Foundation) is human, slow, and capacity-limited. UPHELD's moat is the workflow: zero upload, automatic detection, automated filing. That capability is currently unoccupied by any funded company.

Competitor Catalog

Company Tier Revenue Model Funding Key Feature Biggest Weakness
Claimable Patient AI $39.95/appeal flat fee Seed (amt undisclosed, Walkabout + Humanrace, Mar 2024) 80% success rate, 85+ medications, human QA Manual upload; per-appeal cost; limited conditions
Fight Health Insurance Patient AI (free) Tip jar + small fax fee None disclosed Free, open-source, OCR denial scan, multiple appeal drafts No follow-through; patient submits themselves
Fight Paperwork Provider B2B Monthly SaaS (providers) None disclosed 6,000+ appeals; provider portal; invite patient to review Provider-focused, not patient-first; pivot risk
Counterforce Health Patient AI (non-profit) NIH + UPenn grants $5K prize; no equity raised Voice AI, 70% reversal rate, also calls insurers Grant-dependent; no equity; can't scale without recurring capital
Patient Advocate Foundation Human advocacy (non-profit) Donations Non-profit One-on-one case managers for serious illness Human-capacity constrained; slow; no AI
Alaffia Health Payer-side AI B2B SaaS (payers) $73M total ($55M Series B, Feb 2026) AI fraud/error detection for insurers Helps payers, not patients โ€” opposite side of table
Waystar Enterprise RCM B2B SaaS (providers) IPO Jun 2024 ($791M revenue 2023) 300+ payer connections, AI denial prediction for providers No patient-facing product
Zelis Enterprise RCM B2B SaaS (payers/providers) Private equity (Francisco Partners) Payment integrity, denial analytics No patient-facing product
Cohere Health Prior auth AI (payer-side) B2B SaaS (health plans) ~$150M+ total ($50M extension, Feb 2024) AI prior auth for payers; CMS-0057-F compliance Helps payers manage auth, not patients appeal denials
ClaimMD (Claim.MD) Clearinghouse Per-claim / subscription (providers) Private Medical billing clearinghouse Not patient-facing; not appeals-focused
Appeal.ai โ€” โ€” โ€” No standalone product found in research โ€”

Deep Dives: Top 3 Closest Competitors

1. Claimable โ€” Closest B2C Analog

Patient-facing AI appeal generator, pharmacy/prior auth focus

Success Rate
80%
Resolution Time
<10 days
Price
$39.95/appeal + shipping
Funding
Seed (undisclosed amt, Mar 2024)
Coverage
85+ medications

How It Works

  1. Patient provides denial details (manual input or upload)
  2. AI generates customized letter with clinical evidence + policy citations
  3. Human-in-loop QA review
  4. Claimable mails/faxes letter on patient's behalf
  5. Patient pays $39.95 + shipping only when satisfied, before submission

Media: Forbes, NYT, Bloomberg, WSJ, Time, Politico, NBC News, Fast Company World's Most Innovative Companies list.

Weaknesses: Manual upload/input required โ€” no FHIR connection. $39.95/appeal creates friction for repeat denials. Limited to 85 medications (not all denial types). No automatic detection of new denials โ€” patient must initiate every time.
UPHELD angle: FHIR-sourced data means zero upload. Automatic detection catches denials the patient never acted on. No per-appeal charge. Not condition-limited โ€” any EOB denial is in scope.

2. Fight Health Insurance / Fight Paperwork โ€” The Open-Source Insurgent

Free consumer tool + provider SaaS from the same founder (Holden Karau, FAANG engineer)

Appeals Generated
6,000+ (Fight Paperwork)
B2C Price
Free (tip jar + fax fee)
B2B Price
Monthly SaaS (providers)
Funding
None disclosed

Two Products

Weaknesses: Still requires PDF upload. No FHIR integration. Open-source = anyone can clone. B2B pivot splits focus from patient advocacy. No capital for engineering or growth. Tip jar is not a business model.
UPHELD angle: Built for patients, not providers. FHIR-first = no upload ever. Sustainable revenue model. Cloneable open-source code is not a moat; patient data + FHIR connections are.

3. Counterforce Health โ€” The Non-Profit Threat

Free AI appeal tool + voice AI; NIH/UPenn grant-funded; Durham, NC (founded Jan 2025)

Reversal Rate
70%
Price
Free always
Funding
NIH + UPenn grants; $5K prize
Users
Thousands within months of launch

What Makes It Different

Weaknesses: Grant-dependent โ€” not scalable without sustained public funding. Free-forever pledge limits monetization. No FHIR integration. Vulnerable to federal grant cycle changes. No equity = no engineering hiring war chest.
UPHELD angle: Counterforce Health's "free always" is a brand position, not a business. When NIH grant cycles compress or shift priorities, Counterforce Health stalls. UPHELD's revenue model funds continuous engineering. FHIR integration is the technical layer Counterforce can't build without capital.

Revenue Model Comparison

CompanyModelSustainabilityPatient Cost
Claimable$39.95/appeal flat feeSelf-sustaining (if volume scales)$39.95 + shipping per denial
Fight Health InsuranceTip jar + small fax feeNot sustainableFree
Fight PaperworkMonthly SaaS (providers)Sustainable if provider sales scaleFree (provider pays)
Counterforce HealthNIH/UPenn grantsGrant-dependent (fragile)Free always
Patient Advocate FoundationDonationsNon-profit donation riskFree
Alaffia HealthB2B SaaS (payers)Very sustainable ($73M raised)Not patient-facing
WaystarB2B SaaS (providers) subscriptionVery sustainable (IPO)Not patient-facing
UPHELD (proposed)Gin DecidesDepends on model chosenTBD

Revenue model options in market

What's Broken in Current Solutions

Synthesized from: Reddit (r/YouShouldKnow, r/healthIT), SF Standard, KFF Health News, Investopedia, Business Insider, Axios, STAT News โ€” n=12+ sources

  1. Manual upload is the primary friction. Every tool requires finding, scanning, and uploading a denial PDF. Most patients never start because they can't find the letter โ€” or threw it away.
  2. Patients don't know they were denied until it's too late. Denial letters get buried in mail or portal notifications. Appeal deadlines (30โ€“180 days for internal, varies for external) close without action.
  3. Patient review creates anxiety. AI generates a letter โ€” but patients still have to read, edit, and approve. For a sick person, this is cognitive load they shouldn't carry.
  4. No follow-through. Fight Health Insurance generates a letter; patient is on their own to submit and track. No tool closes the loop automatically.
  5. Limited condition coverage. Claimable: 85 medications only. Counterforce is general-purpose but depends on what you provide. Neither sees your full claims history.
  6. Cost creates second barrier. $39.95/appeal isn't trivial for patients who may face 5โ€“10 denials/year. The most likely to be denied are often the most financially vulnerable.
  7. Provider tools don't help patients. Fight Paperwork helps doctors, but the patient experience is mediated by whether their provider uses the tool.

The Gap UPHELD Fills

Current state vs. UPHELD state

Current: Denial received โ†’ patient finds letter โ†’ patient uploads to tool โ†’ patient reviews draft โ†’ patient submits โ†’ patient tracks โ†’ starts over if denied again
UPHELD: Patient authorizes FHIR access once โ†’ UPHELD detects denial automatically โ†’ UPHELD generates and files appeal โ†’ UPHELD notifies patient of outcome
UPHELD AdvantageWhy It Matters
FHIR-first data pullNo upload, no manual entry โ€” data comes directly from insurer's API (legally mandated by CMS as of 2026)
Proactive denial detectionCatches denials the patient never saw or forgot about
Automated filingRemoves the most cognitively demanding step โ€” composing and submitting
Full claim history accessFHIR EOB data includes all claims, not just the one denial the patient brings in
Audit trail embeddedFHIR-sourced data makes the appeal traceable and documented with source-of-truth records
Scalable across all denial typesNot limited to 85 medications โ€” works for any denial accessible via EOB data

Investor Framing (Competitive Moat)

Market size

~250M insured Americans. ~20% face a denied claim annually (KFF, 2024) = ~50M denial events/year. Less than 1% appeal. Appealing costs providers $7.2B/year in admin costs (The Guardian, Jan 2025). The consumer appeal market is nearly untapped โ€” currently served by a handful of seed-stage or grant-funded tools with no FHIR integration.

The regulatory tailwind

CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) mandates FHIR API access for major insurers by 2026. Competitors built before this mandate had to use manual document upload. UPHELD is designed for the post-mandate world โ€” FHIR is the infrastructure, not an integration project.

Why incumbents can't replicate UPHELD

Moat summary

  1. Technical: FHIR-native integration โ€” no competitor has built this for patient-facing appeals
  2. Data: Full claims history access enables better AI + pattern recognition over time
  3. Network: First-mover advantage โ€” longer UPHELD runs, the better the appeal model gets
  4. Trust: Patient-aligned (not payer-aligned, not provider-aligned) โ€” proven brand position

๐Ÿ”‘ Gin Decides

  1. Revenue model: Flat fee ($39.95/appeal like Claimable)? Subscription? Employer benefit (untapped market)? Contingency? UPL risk on contingency already flagged in upheld-legal-risk.md โ€” lawyer consult needed before deciding.
  2. Patient-only or also providers? Fight Paperwork shows provider B2B is viable. But patient-first is the untapped differentiation. Both? Sequentially? Provider channel could be distribution at launch.
  3. Free tier strategy? Counterforce's "free always" is a brand position. Does UPHELD want a free tier to drive adoption, or is FHIR automation compelling enough to justify paid from day 1?
  4. Condition scope at launch: UPHELD can handle any EOB denial via FHIR. Does MVP focus on specific denial types (pharmacy like Claimable) or go broad immediately?
  5. Investor framing: Should the deck position UPHELD as "Claimable + FHIR automation + no per-appeal fee"? Or does UPHELD need its own frame distinct from Claimable?

Sources

  1. Forbes / InnovationRx โ€” "This AI Startup Helps Patients Fight Insurance Denials" (Oct 2024) โ€” Claimable seed round + pilot results
  2. Business Insider โ€” "The CEO Using AI to Fight Health-Insurance Denials" (Jun 2025) โ€” Claimable seed timeline
  3. Healthcare Brew โ€” "Startup Appealing Insurance Denials on Patients' Behalf" (Dec 2024) โ€” Claimable $39.95 pricing
  4. Claimable.com website โ€” 80% success rate, 85+ medications, <5 days resolution
  5. STAT News โ€” "Startups Using AI to Fight Insurance Denials" (Dec 2024) โ€” overview
  6. SF Standard โ€” "Fight Health Insurance Uses AI to Appeal Claim Denials" (Aug 2024) โ€” Holden Karau, 90%+ personal win rate
  7. Fast Company โ€” "AI to Help You Fight Back Against Denials" (Oct 2024) โ€” Fight Health Insurance mechanics
  8. SF Standard โ€” "Health Insurance is Hellish. Doctors Are Fighting Back with AI" (Jun 2025) โ€” Fight Paperwork launch, 6,000+ appeals
  9. Managed Healthcare Executive โ€” "Power to the Patients: AI for Fighting Insurance Denials" (Feb 2026) โ€” Fight Paperwork revenue model
  10. Business Insider โ€” "She Built a Free Tool to Appeal Health Insurance Denials" (Dec 2024) โ€” Holden Karau profile
  11. Wikipedia โ€” Counterforce Health (sourced from multiple local news) โ€” founding team, timeline
  12. Axios Raleigh โ€” "NC Startup Building AI Tool to Appeal Denials" (Aug 2025) โ€” Counterforce expansion
  13. CBS17 โ€” "Raleigh organization helps thousands appeal denials" (Dec 2025) โ€” Counterforce traction
  14. CityView NC โ€” "Counterforce Health: NC Uses AI to Fight Insurance Denials" (Apr 2025) โ€” voice AI, calling feature
  15. Counterforce Health website โ€” "free always," NIH/UPenn grants, Maxwell voice AI
  16. Crain's NY โ€” "Alaffia Health raises funding for medical billing AI" (Feb 2026) โ€” $55M Series B
  17. MedCity News โ€” "Alaffia Health Snags $55M" (Feb 2026) โ€” $73M total confirmed
  18. MobiHealthNews โ€” $10M Series A (2024) โ€” $17.6M total at that stage
  19. Business Insider โ€” "Alaffia Health founders raised $5M" (Feb 2022) โ€” seed
  20. Reuters โ€” "Waystar raises $968M in IPO" (Jun 2024) โ€” Waystar financials
  21. Cohere Health โ€” "$50M equity raise" press release (Feb 2024)
  22. Patient Advocate Foundation website โ€” 501(c)(3), case managers, donation-funded
  23. Reddit r/YouShouldKnow โ€” Fight Health Insurance viral thread (Dec 2024)
  24. Reddit r/healthIT โ€” Counterforce Health discussion (Aug 2025)
  25. The Guardian โ€” "New AI Tool Counters Health Insurance Denials" (Jan 2025) โ€” $7.2B admin cost stat
  26. Enter.health blog โ€” "Health Insurance Claims Automation" โ€” provider-side denial resubmission
  27. Investopedia โ€” "AI Brings New Hope to Patients Battling Denied Claims" (Aug 2025)
  28. NBC News โ€” "AI Helping Patients Fight Insurance Denials" (Aug 2025)
  29. KFF Health News โ€” "Fight Health Insurance Denials: AI Tech Tool" (Jan 2025)
  30. TechTarget โ€” denial rate by payer (21% employer, 20% marketplace)
  31. aptarro.com โ€” "50+ US Healthcare Denial Rates Statistics 2026" โ€” 11.81% initial denial rate 2024

โœ… QC Sign-Off

Reviewed by Max QC ยท Feb 21, 2026

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