Revenue cycle · Payer claims review AI
Alaffia Health
Alaffia Health is a New York City company whose AI software and team of nurses and certified coders review high-cost hospital claims for health plans, catching billing errors before payment and supporting utilization management and appeals work.
Strong fit
- Health plans and third-party administrators that pay large volumes of high-cost facility claims
- Payment integrity teams that want AI findings checked by clinicians and tied to the medical record
- Plans that want to choose between running reviews in house, a hybrid setup, or handing the work to Alaffia
Weak fit
- Hospitals and physician groups looking for billing software of their own
- Plans whose main need is fraud investigation and case management
- Buyers who want published prices before a sales call
Bottom line
Alaffia Health is a claims review company for health plans that pairs AI, which reads medical records, with nurses and coders who check its findings. It suits payers that want savings on expensive inpatient and facility claims, backed by evidence that holds up when a hospital appeals. Plans looking mainly for fraud investigation tools should look at other vendors.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Alaffia Health is bought by health plans of all sizes and by the third-party administrators that pay claims for self-insured employers. Their payment integrity and clinical review teams use it to check expensive hospital bills before payment: diagnosis-related group (DRG) coding, readmissions, emergency department visits, implants, and surgeries. The same platform supports utilization management and appeals work. Plans can license the software for their own reviewers, use Alaffia's clinicians as a managed service, or mix the two.
Alaffia sells enterprise contracts and does not publish prices. It is a younger, venture-backed vendor with an estimated $15 million in annual revenue, and in 2022 it told TechCrunch that its main rivals were older firms that review claims by hand. Among companies we review, Codoxo covers fraud, waste, and abuse detection for payers, Certilytics builds predictive analytics for health plans, and Anterior and Hindsait use clinical AI for plans' prior authorization and utilization reviews.
Siblings TJ Ademiluyi, the chief executive, and Adun Akanni, the chief operating officer, founded Alaffia in 2020. Their parents run a medical billing company, and the founders set out to rebuild that kind of claims work with software, Business Insider reported. The name is a greeting that stands for peace, health, and wellness, according to the company's about page.
On its platform page, Alaffia describes a sequence of steps. It turns each medical record into a list of clinical facts, annotated by clinicians, and checks the documentation against the bill. It sends the claims most likely to need review to the front of the queue, and a human reviewer confirms each finding, with citations back to the record. Separate AI agents handle readmission, DRG, emergency department, appeals, and prior authorization reviews. The platform connects to claims systems, EHR data feeds, and clinical criteria tools, and Alaffia holds HITRUST and SOC 2 Type 2 certifications.
In its February 2026 Series B announcement, Alaffia said its reviews save plans more than 20% on average on high-cost facility claims, return more than five times their cost, and have saved health plans $120 million. The $55 million round was led by Transformation Capital, bringing total funding past $73 million. One case study on the platform page reports $21 million in realized savings with an appeal rate under 2%, and Alaffia says customers can go from contract to production in 30 days.
What customers say
What people like
"We send our expensive inpatient claims through Alaffia, and every finding comes back with the page in the medical record that supports it, which makes hospital disputes much easier to settle."
"We started with their reviewers doing the work and planned to bring it in house later. That flexibility is what got our finance team to sign."
What people don't like
"There is no price on the website, so it took several calls before we understood how the fees would be set."
"It is focused on high-cost facility claims, so we still use a separate vendor for fraud investigations."
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Alaffia platform overview, Alaffia Series B announcement, and TechCrunch coverage.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Anterior | 8.1 | 8.1 |
| Codoxo | 7.6 | 7.2 |
| Alaffia Health | 7.4 | 7.6 |
| Certilytics | 7.3 | 7.0 |
| Hindsait | 7.0 | 6.7 |
Pricing
| Item | Detail |
|---|---|
| Model | Software licenses for plans that run reviews in house, or managed services where Alaffia's nurses and coders perform the reviews. Plans can also combine the two. |
| What usually drives cost | Claim volume, which review types are licensed (DRG, readmissions, emergency department, appeals, prior authorization), and how much of the review work Alaffia's staff handle. |
| What to ask before you buy | Ask Alaffia how fees differ between software and managed services, whether any fees depend on savings, and how savings are counted. |
| Published pricing | Not published. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Alaffia Health to function | |
| Claims data feed | Alaffia connects to your claims system to pick claims for review. |
| Medical record access | Reviews depend on records from EHR feeds or provider submissions. |
| Clinical criteria tools | The platform works alongside the criteria your reviewers use. |
| Security review | HITRUST and SOC 2 Type 2 documentation to check. |
| What will maximize your value | |
| Start with one review type | DRG or readmission reviews show savings early. |
| Decide who does the reviews | Sets staffing needs and fees. |
| Track appeal outcomes | Shows whether findings hold up. |
| Deal-breakers | |
| No access to medical records | |
| Provider-side billing needs | |
| Fraud investigation as the main need | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract to first reviews in production | About 1 month |
| 2 | First realized savings | 1-3 months |
| 3 | Additional review types live | 3-6 months |
Leadership
TJ AdemiluyiCo-founder and CEO- Adun AkanniCo-founder and COO
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.