Vendor comparison
The vendors below are all credible in risk adjustment. They differ in where they focus: some at the point of care, some in retrospective chart review, some as broad data platforms. Categories are descriptive, not pejorative.
| Vendor | Focus (prospective / retrospective / both) | AI approach | RADV / audit support | Submission-lifecycle visibility | Best-fit org |
|---|---|---|---|---|---|
| Navina | Prospective, point-of-care | Clinician copilot; EHR-native condition detection | Evidence linked to the chart | Not its primary focus | Physician groups and ACOs working in the exam room |
| Reveleer | Both; retrospective abstraction plus prospective suspecting since EVE Hybrid AI (January 2026) | EVE for chart review; EVE Hybrid AI pairs generative extraction with clinician-authored deterministic rules | All-in-one RADV Audit SaaS (October 2025); manages CMS and RADV-IVA submissions | Submission and audit-focused | Plans running scaled chart review and audit |
| Apixio (Datavant) | Both; retrospective, prospective, concurrent | NLP/ML coding predictions plus coder review | HCC Auditor; compliance solutions | Coding and compliance-focused | MA and ACA organizations scaling coding accuracy |
| RAAPID | Both; retrospective and concurrent | Neuro-symbolic AI plus knowledge-graph NLP | MEAT-based audit trail; RADV solution | Coding and audit-focused | Plans and groups wanting defensible coding at scale |
| ForeSee Medical | Prospective, point-of-care | NLP disease-detection engine in the EHR | Source-document hyperlinking (InstaVu) | Not its primary focus | Practices and plans wanting EHR-embedded suspecting |
| Innovaccer | Both, via the Galaxy payer platform and Gravity agents | Unified data model plus an agent layer; 2026 Best in KLAS for payer data analytics at 90.5 | Part of broader risk and quality workflows | Within the platform | Enterprise plans standardizing on one data platform |
| Arcadia | Retrospective-led, analytics | Data lakehouse and analytics | Risk analytics, not a coding engine | Analytics view | Systems and ACOs wanting a data foundation |
| Datavant | Retrospective coding and retrieval at scale, plus outsourced coding services | Clinical Insights Platform; NLP coding with certified coder review | 2026 Best in KLAS in Risk Adjustment (Coding, Retrieval and Compliance) at 90.5 | Coding and retrieval-focused | Plans outsourcing retrieval and coding volume |
| Cozeva (Vatica Health) | Prospective, point-of-care and in-home | PayerOne Risk with native-FHIR certified measure engines | 2026 Best in KLAS in Risk Adjustment: Point of Care and In-Home at 91.2 | Not its primary focus | Plans and groups prioritizing point-of-care and in-home capture |
| Pelica Risk Adjustment Copilot | Both, real-time, on one shared record | Copilot plus action layer that executes the follow-through | Chain-of-custody per HCC; trumping applied live | 277CA through MOR, per diagnosis, in one view | Risk-bearing IPAs, ACOs, and plans replacing vendor sprawl |
Why risk adjustment software is a 2026 problem, not a 2024 one
The CMS-HCC V28 model is fully effective for payment year 2026, completing a three-year phase-in. V28 cut the ICD-10-to-HCC crosswalk from roughly 9,797 valid codes under V24 to about 7,770, and CMS's actuaries projected an average MA risk score reduction of about 3.12%. Diagnoses that triggered an HCC under V24 may no longer do so. Read our V28 readiness playbook for the full picture. If you also carry commercial marketplace membership, confirm the tool maps to HHS-HCC, the separate ACA risk model, and not to CMS-HCC alone.
The operational consequence is simple. If your software only works after claims settle, it will tell you what you lost after the window to fix it has closed. The capture decision now has to happen at or before the encounter. That single shift reorders what "best" means in this category.
One 2026 development belongs here even though it is a Stars rule. The CY2027 Medicare Advantage and Part D final rule, published April 6, 2026, removes 11 measures from Star Ratings calculations beginning with the 2027 measurement period. It does not change the HCC model, and V28 remains the binding constraint on capture. It does change where the same budget goes, because risk and quality budgets are set in the same room and a shorter measure set means each remaining Stars lever is worth more.
What to look for in risk adjustment software
Prospective and retrospective in one place
Prospective capture happens at or before the visit, so the diagnosis is documented within the year it is clinically valid. Retrospective review catches what was missed and supports recovery and audit. Running them as two disconnected tools means the two views never reconcile against the same member record. The best software does both and reconciles them.
V28-aware trumping logic
V28 expanded to 115 condition categories and tightened constrained groups, where related conditions share a single coefficient. Documenting more conditions in a constrained group does not raise RAF: only the highest-weighted member counts. Software should apply this trumping logic live, so coders are not chasing diagnoses that will not pay, and so redundant capture does not create audit exposure.
RADV-defensible chain-of-custody
Every captured HCC should carry a retrievable evidence packet: the source clinical note with MEAT support, supporting labs or imaging, any provider attestation, and the coder review record. This should be a property of the system, not a packet assembled by hand the week an auditor calls. Our RADV-defensible HCC guide details the design choices that hold up under audit.
Full submission-lifecycle visibility
A diagnosis is not captured until CMS recognizes it. Good software tracks each one through the 277CA acknowledgement, the MAO-004 (which reports diagnosis-level risk eligibility, additions, and deletions), the MMR membership and payment report, and the MOR model output report. MAO-004 rejections are an early signal that documentation will not survive RADV. Seeing the whole chain in one place is the difference between catching a problem and discovering it in a payment shortfall.
Point-of-care, pre-claim flagging
The highest-leverage feature is surfacing the specific at-risk condition during the encounter, with the clinical criteria required. Generic prompts ("review chronic conditions") do not move capture. Specific prompts ("documented CKD Stage 3a in 2024; confirm staging today") do.
Navina
Navina is a clinician-first copilot for prospective capture. It summarizes patient data from the EHR, HIE, and claims, surfaces suspected conditions at the point of care, and supports one-click documentation inside the chart. For a physician group whose main lever is the visit, Navina is well designed. It raised a $55M Series C on March 25, 2025 led by Growth Equity at Goldman Sachs Alternatives, and its Best in KLAS win in Clinician Digital Workflow was 2025, not 2026; TransformativeMed took that category in 2026. (Source: Navina risk adjustment.)
Reveleer
Reveleer is built for high-volume retrospective chart review. Its Evidence Validation Engine retrieves and parses records and populates abstraction fields for review, and the company manages CMS and RADV-IVA submissions. Calling it retrospective-only is no longer accurate. It acquired Curation Health in October 2024 for prospective, point-of-care rules with Epic, Cerner, and Athenahealth integrations, shipped an all-in-one RADV Audit SaaS on October 15, 2025, and launched EVE Hybrid AI for prospective diagnosis suspecting on January 20, 2026, pairing generative extraction with clinician-authored deterministic rules. In April 2026 it introduced a Clinical Data Repository it describes as a unified member-level clinical record across risk, quality, RADV, and care management. For plans that need scaled, on-time chart review and audit submission, Reveleer is a strong fit, and it now competes on the prospective side too. It sells to plans, and delegated provider groups sit on the other side of that contract, which we take apart in Pelica vs Reveleer alongside a job-by-job list of Reveleer alternatives. (Sources: Reveleer retrospective risk adjustment; EVE Hybrid AI announcement.)
Apixio (part of Datavant)
Apixio's value-based care suite has been part of Datavant since September 2024, so evaluate it as Datavant's coding engine rather than a standalone vendor. The technology itself covers retrospective, prospective, and concurrent coding, combining NLP and machine-learning predictions with certified coder review, plus an AI-powered HCC auditing solution. For MA and ACA organizations focused on coding completeness and compliance across the full review cycle, it remains a credible engine inside the larger Datavant platform.
Datavant
Datavant belongs on more 2026 shortlists than it lands on. It won 2026 Best in KLAS in Risk Adjustment (Coding, Retrieval and Compliance Solutions) at 90.5 and in Outsourced Coding at 94.9 against a category average of 88.4, both announced February 4, 2026, and its release cites 4.5 million charts coded annually at 98% coding accuracy. Its products in this category are the Clinical Insights Platform and Datavant Connect. If your constraint is retrieval and coding throughput, this is the strongest externally validated option on the page. (Source: Datavant 2026 Best in KLAS.)
Cozeva, part of Vatica Health
Cozeva won 2026 Best in KLAS in Risk Adjustment: Point of Care and In-Home Health Assessments at 91.2, announced the same day. It is no longer a standalone company: Vatica Health and Cozeva merged on October 31, 2025. Its PayerOne Risk product sits at the point of care, which is the axis this page argues capture has to move to under V28. (Source: Cozeva 2026 Best in KLAS.)
RAAPID
RAAPID uses neuro-symbolic AI and knowledge-graph-infused clinical NLP to produce an evidence-backed, MEAT-based audit trail for every HCC. It supports both autonomous retrospective review and a RADV audit solution. For teams that prioritize defensible, traceable coding, RAAPID's design leans into audit transparency. (Source: RAAPID retrospective risk adjustment.)
ForeSee Medical
ForeSee Medical embeds NLP-driven disease detection directly in the EHR, presenting risk-adjustment suspects and HCC recommendations at the point of care, with InstaVu hyperlinking suspects back to the exact page of source documentation. For practices that want prospective suspecting inside their existing workflow, it fits. (Source: ForeSee Medical HCC coding.)
Innovaccer and Arcadia
Both are enterprise data platforms rather than dedicated coding engines. Innovaccer's Galaxy platform unifies payer risk and quality on one data model with an agent layer on top, and it took 2026 Best in KLAS in Data Analytics Platform for Payers at 90.5 against a category average of 87.2, announced February 4, 2026. On April 15, 2026 the company said it is moving from software-access fees to outcome-based, per-task pricing, citing roughly $20 per prior authorization against roughly $100 for the manual equivalent, alongside a $250M commitment over three years to its Gravity agent platform. Arcadia provides analytics and a longitudinal record across a large population; Nordic Capital acquired a majority stake on July 2, 2025. For organizations whose first need is a clean data foundation, either is reasonable, and risk adjustment is one workflow within a larger platform. (Sources: Innovaccer 2026 Best in KLAS; Arcadia platform.)
How to read the one-data-model argument
Innovaccer publishes its own risk adjustment comparison, and its central claim is that one data model across risk and quality means a plan does not pay for the same chart twice. That claim is correct, and duplicate retrieval is a real line item. Reveleer makes a version of the same argument with its Clinical Data Repository, citing plans retrieving the same records an average of 2.5 times a year.
Paying twice for a chart is one problem. Submitting a diagnosis and never learning it was rejected is a different one, and it shows up in a payment shortfall rather than an invoice. Ask any vendor to show a single diagnosis traced from 277CA through MAO-004, MMR, and MOR in one view. Then ask the four questions that separate a platform claim from an operating one: who performs the next action after a suspect is raised, how long it takes from suspect to first contact with the practice, which system the evidence is written back into, and whether the outreach queue is shared with quality, pharmacy, and care management or run per program. Cross-payer gap consolidation is the version of that last question a buyer can test in a demo.
Per-task pricing on prior authorization is a genuine move toward paying for work rather than access. It also says nothing about who works a suspect list.
How Pelica's Risk Adjustment Copilot differs
Most of the vendors above do one part of the job well: prospective suspecting, or retrospective review, or audit trails, or analytics. Pelica's Risk Adjustment Copilot is built to do them together, in real time, on a record that the rest of the organization shares. For a concrete walkthrough of how the copilot runs a single capture end to end, see the anatomy of an AI HCC gap closure.
- Real-time, both directions. At-risk HCCs surface before the encounter, and retrospective review reconciles against the same record, so prospective and retrospective never drift apart.
- V28 trumping applied live. Constrained-group trumping is computed as conditions are captured, so coders work the diagnoses that actually pay.
- Chain-of-custody by default. Every captured HCC carries its source note, supporting evidence, attestation, and coder review record, ready for RADV.
- Full lifecycle in one view. Each diagnosis is tracked from 277CA through MAO-004, MMR, and MOR, so rejections are caught early.
- One record across all teams. The same canonical record feeds quality, pharmacy, network, and care management, so a member with three at-risk HCCs gets one well-prepared encounter, not three separate calls.
At our flagship customer, a physician-led IPA in New York running risk on roughly 200,000 patients, the Risk Adjustment Copilot reached 100% team adoption across the platform. Across Pelica deployments, customers have lifted RAF by roughly +0.4 in two quarters with no new headcount.
The point is not a better coding engine. It is the same record under risk, quality, pharmacy, network, and care management, so capture is a coordinated operating cadence, not a siloed coding project.
If you are evaluating that one-record approach across more than risk adjustment, our guide to the best value-based care software compares the platforms that unify risk, quality, pharmacy, and care management rather than stacking point tools.
Sources and further reading
- Risk Adjustment Software Directory: a vendor-by-vendor reference we publish, with a fact sheet and dated sources for each of the ten platforms named here
- CMS: 2024 (V28) Model Software / ICD-10 Mappings
- CSSC Operations: Encounter Data and risk adjustment report FAQs (277CA, MAO-004)
- Navina: AI-powered risk adjustment software
- Reveleer: Retrospective risk adjustment
- Datavant: 2026 Best in KLAS in risk adjustment coding, retrieval and compliance, and outsourced coding (February 4, 2026)
- Cozeva: 2026 Best in KLAS in risk adjustment point of care and in-home assessments
- Federal Register: CY2027 Medicare Advantage and Part D final rule (April 6, 2026)
- Reveleer: EVE Hybrid AI for prospective diagnosis suspecting (January 20, 2026)
- Innovaccer: 2026 Best in KLAS results