The verdict

There is no single best value-based care platform, because the category does two different jobs. Analytics and data platforms unify your feeds and tell your teams what to do. An AI execution layer acts on that answer and does the work. Most risk-bearing organizations need both functions, and the right choice depends on whether your bottleneck is visibility or follow-through.

On a typical risk-bearing contract, data is scattered across 8 to 15 vendor portals plus SFTP drops and spreadsheets, and a small team owns a large panel. Pelica unifies that into one canonical record per member and puts an AI copilot next to every team, so the work gets done instead of just charted. Our flagship customer, a physician-led IPA in New York, manages roughly 175,000 patients live on the platform, reached 100% team adoption, and goes live in about 2 weeks. Pelica is SOC 2 Type II and HIPAA compliant with full audit trails.

This page ranks and compares the platforms most often shortlisted in 2026. For the full narrative walkthrough of the decision, see our value-based care software buyer's guide. For category-specific shortlists, jump to the by team and measure area section.

Comparison: the top value-based care platforms in 2026

The table groups representative vendors by what they are genuinely built to do, then names the axis on which Pelica differs from each. Categories are descriptive, not pejorative: a strong analytics platform and a strong execution layer solve different problems, and many organizations run more than one.

Comparison reflects each vendor's publicly stated positioning as of August 2026. Award, funding, and product dates are cited inline. Capabilities, deploy times, and pricing vary by contract and scope; confirm current details directly with each vendor.
Vendor What it is genuinely good at Category Differentiated axis vs Pelica
Innovaccer Enterprise data unification across claims, EHR, pharmacy, and lab, with an agent layer (Galaxy); three 2026 Best in KLAS wins, Galaxy at 90.5 against an 87.2 category average for payer data analytics Data platform plus analytics, with agents Pelica is the execution layer on top of unified data; it lives in weeks and acts across all six teams, not a multi-quarter data project
Arcadia Healthcare data lakehouse and analytics at scale, plus a longitudinal record, Network Modeler, and AI-enabled care management since October 2025; majority-owned by Nordic Capital since July 2025 Data platform plus analytics Same execution-vs-analytics frame: Pelica does the outreach and follow-through, not just the longitudinal view
Navina Clinician-first AI copilot; prospective, point-of-care condition detection and RAF inside the EHR; $55M Series C in March 2025 and the 2025 Best in KLAS award for clinician digital workflow Provider point-of-care Pelica covers all six teams plus an action layer, not just the exam room and the clinician
Reveleer Chart retrieval and HEDIS abstraction (EVE), RADV audit workflow, and since 2024 prospective suspecting and care gap management by acquisition; Clinical Data Repository launched April 2026 Clinical record, review, and quality Pelica's difference is the action, not the record: one shared outreach queue that places the call and books the visit
Pearl Health Provider and ACO enablement for primary care in MSSP and ACO REACH, with a Care Orchestration line that automates wellness visit scheduling and post-discharge follow-up; $110M raised July 2026 VBC enablement (provider-facing) Pelica runs the work across quality, pharmacy, network, and care management inside a risk-bearing organization, beyond the practices Pearl enables
League Member-facing care navigation for large payers; its Spring '26 release added a Care Gaps Agent Team that checks coverage and provider availability and books appointments Member navigation and agents League navigates the member. Pelica runs a shared operating record across the six teams inside a risk-bearing IPA or ACO
Stellar Health Point-of-care incentive payments (Stellar Value Units) that pay staff to complete VBC actions Incentive and workflow nudges Pelica automates the action itself rather than paying a person to do it manually
Pelica One canonical record plus role-specific copilots and an action layer that does the work across all six teams, real-time AI execution layer The category we win: who closes the loop. Live in 2 weeks; replaces 8 to 15 point vendors

What changed in 2026

Three developments should shape a 2026 shortlist, and two of them come from vendors on this page.

CMS started paying for outcomes produced between visits. The CMMI ACCESS Model ties payment for technology-enabled chronic care to measurable outcomes instead of billed services, across early cardio-kidney-metabolic, cardio-kidney-metabolic, musculoskeletal, and behavioral health tracks. Cohort 1 began July 1, 2026 with roughly 150 participants selected (STAT, April 13, 2026). Vendors are already marketing ACCESS readiness; Innovaccer states first-cohort participation on its own site. Whatever else it does, ACCESS puts federal money behind the difference between knowing what to do and doing it.

Two vendors published surveys that say the same thing. Reveleer, with Mathematica and Harris Poll, surveyed 200 senior payer and provider decision-makers in March 2026 and found 94% of providers still rely on manual value-based-care processes and 93% report vendor overpromising, with only 13% of payers and 29% of providers feeling well prepared for current CMS requirements (Reveleer, July 7, 2026). Arcadia surveyed 281 healthcare leaders and found 14% say AI insights are fully integrated into the decisions that matter (Arcadia, June 16, 2026). The tools got smarter. The work did not move.

The incumbent now argues execution too. Innovaccer titled its June 2026 conference "AI That Executes," publishes its own comparison pages on gap closure, and on April 15, 2026 said it is moving to outcome-based per-task pricing, citing roughly $20 per prior authorization against a roughly $100 manual cost, alongside $250M over three years for its Gravity agent platform (MedCity News). Its unified-platform case is sound and worth stating plainly: one data model across risk and quality means you are not paying twice for the same chart. Where the case stops short is the step after the data lands. A buyer with no unified record should build the foundation first. A buyer whose teams already know exactly which calls to make, and still are not making them, gets nothing back from more foundation.

Because every vendor now claims execution, including League, Linear Health, and blueBriX alongside Innovaccer, the word is worth nothing on its own. Four questions turn it back into something checkable:

  • Which channel, and who operates it. Phone, portal, pharmacy, EHR, in-home. For each, does the vendor's system do the work or does your staff?
  • Time from event to first contact. Hours from a gap opening or an ADT event landing to the first attempt, not days to a completed report.
  • Where the evidence is written back. Which system of record receives the closed gap or the captured diagnosis, and how soon it gets there.
  • One shared queue or one per program. Cross-payer gap consolidation only pays off if risk, quality, pharmacy, network, and care management work the same list.

How to choose: four criteria

1. Execution vs. analytics

This is the dividing line, and the one our AI agents vs. analytics dashboards pillar covers in depth. Analytics platforms show the gap. Execution layers close it. A useful test: ask the vendor to walk through what happens after a care gap is identified. If the answer ends at "it appears on a worklist for your staff," that is analytics. If the answer includes "the platform places the call, schedules the appointment, and updates the record," that is execution.

2. Real-time vs. retrospective

Retrospective tools work on data that has already settled: submitted claims, completed encounters, closed chart-review projects. They are essential for audit and recovery. But under CMS-HCC V28, capture decisions made after the encounter are made too late. Read our V28 readiness playbook for why pre-claim, point-of-care flagging now beats end-of-year chart chases. Ask whether the system acts before the submission window closes or only reconciles after.

3. Single canonical record vs. 8 to 15 point vendors

A risk-bearing organization commonly runs separate tools for risk, quality, pharmacy, network, care management, and BI. Each sees one slice. The cost is not just license fees. It is duplicate outreach to the same member by three teams in the same week, and no single view of what each team is doing. A single canonical record per member removes that coordination tax. The trade-off is depth in any one function versus coordination across all of them.

4. Time-to-value: weeks vs. months

Enterprise data platforms typically run multi-quarter implementations, because they normalize every source feed before value appears. Point tools deploy faster but cover one function. Ask for a specific date when a measurable outcome will appear, not a go-live date for the data warehouse. A forward-deployed model can stand up a working copilot in weeks by building one record from existing feeds rather than rebuilding the warehouse first.

One fair paragraph per platform

Innovaccer

Innovaccer's core strength is enterprise data unification. Its platform normalizes data from EHRs, claims systems, CRM, and finance sources into a unified model, and on February 4, 2026 it took Best in KLAS in three categories: Gravity at 93.2 for data and analytics platform for providers, Galaxy at 90.5 for data analytics platform for payers against a category average of 87.2, and Cured at 90.1 for CRM platforms. Galaxy, launched October 14, 2025, unifies payer risk adjustment and HEDIS with AI chart retrieval, coding, and abstraction. Since then the company was named a Leader in the inaugural Gartner Magic Quadrant for Healthcare Provider Industry Cloud Platforms in July 2026 and acquired CaduceusHealth on May 21, 2026 to extend into revenue cycle. Standardizing a large organization on one data and analytics foundation is exactly the job Innovaccer is built for, and reporting its 2026 numbers accurately is easier than arguing with them. The trade-off is the scope and timeline of a platform that size. (Sources: Innovaccer Best in KLAS 2026; Galaxy by Innovaccer.)

Arcadia

Arcadia is a data-platform and analytics company built on a healthcare data lakehouse that curates EHR, claims, SDoH, pharmacy, and ADT data into a longitudinal record. NCQA granted it Certified Data Partner designation in its Data Aggregator Validation program on July 31, 2024, and Nordic Capital took a majority stake on July 2, 2025. Its 2025 releases pushed further into workflow: Network Modeler and Contract IQ in February, then AI-enabled care management in October with a prioritization engine and predictive workload balancing for case managers. It is a good fit when the priority is a clean, queryable data foundation and a well-ordered queue on top of it. What Arcadia does not do is work the queue. Your staff still places the calls, and Arcadia's own June 2026 survey found that same gap across the market. (Source: Arcadia data platform.)

Navina

Navina is a clinician-first AI copilot focused on prospective, point-of-care risk adjustment. It summarizes patient data from the EHR, HIE, and claims, then surfaces suspected conditions and care-gap evidence at the visit, with one-click documentation inside the chart. As CMS tightens oversight, Navina has sharpened its prospective, encounter-based positioning ahead of the 2027 shift away from retrospective coding. It raised a $55M Series C led by Growth Equity at Goldman Sachs Alternatives on March 25, 2025, and its copilot ranked number one in Best in KLAS for clinician digital workflow in 2025; the 2026 award in that category went to TransformativeMed. If the visit itself is where your group gains or loses ground, Navina fits. It was built for the exam room and the clinician, and it does not try to be the tool for the other teams that touch the same member. (Sources: Navina risk adjustment; Navina Series C.)

Reveleer

Calling Reveleer a retrospective chart-review vendor was fair two years ago and is not fair now. Its Evidence Validation Engine still automates chart retrieval, parses records, and populates abstraction fields for HEDIS abstraction and RADV-IVA submissions, and it shipped an all-in-one RADV audit workflow on October 15, 2025. Around that core it bought its way into prospective work: Curation Health in October 2024 brought 1,400 clinical rules and Epic, Cerner, and Athenahealth integrations, and Novillus in April 2025 brought care gap management and provider engagement. EVE Hybrid AI, announced January 20, 2026, does prospective diagnosis suspecting with generative extraction plus clinician-authored deterministic rules. Then on April 7, 2026 it launched a Clinical Data Repository billed as a unified, AI-enriched member-level clinical record across risk adjustment, quality, RADV response, and care management. For a plan that wants chart retrieval, quality, and audit on one record, Reveleer is a strong fit and a broader one than its reputation suggests. One canonical record is now its language as well as ours, which is why the honest difference is no longer the record. It is the shared outreach queue and who places the call. (Sources: Reveleer EVE; Clinical Data Repository, April 7, 2026.)

Pearl Health

Pearl Health enables independent primary care in traditional Medicare risk. It aggregates practices into ACOs, administers contracts, and gives providers predictive insight to focus on the patients who need attention most across MSSP and ACO REACH. In 2026 it added a second pillar, Care Orchestration, which automates annual wellness visit scheduling and post-discharge follow-up, so the old description of Pearl as pure enablement no longer holds. It raised $110M on July 8, 2026, $50M in equity led by a16z with Viking Global, AlleyCorp, and Ulysses Capital plus $60M in debt from Trinity Capital, reporting 10,000+ providers across 40 states, 250,000+ beneficiaries, roughly $3.6B in annualized medical spend, and profitability since 2025. For a primary-care-led organization entering or scaling Medicare risk, Pearl is purpose-built and moving toward doing the work. Its reach still stops at the practices it enables, short of the six teams inside a risk-bearing IPA or plan. (Sources: Pearl Health technology; MedCity News, July 2026.)

League

League is worth naming because it makes our argument in our words. Its Spring '26 release on March 3, 2026 introduced a Care Gaps Agent Team that identifies barriers and social risk before outreach, checks insurance coverage and provider availability, and books appointments directly, framed explicitly around the healthcare "action gap." Customers named include HCSC, Manulife, TELUS, and Medibank. For a large payer whose problem is member navigation at consumer scale, League is a credible option. The line worth drawing is scope, not sincerity: League orchestrates the member journey, while a risk-bearing IPA or ACO is trying to get risk, quality, pharmacy, network, and care management working one shared record and one queue. (Source: League Spring '26 release.)

Stellar Health

Stellar Health pays providers and their staff in near-real-time for completing high-value actions, translating claims-derived gaps into granular Stellar Value Units inside the daily workflow. Its 2026 news was leadership only, a new CFO in March and a new CTO in May, so nothing about the product changed this year. Networks that want frequent, transparent incentives behind manual completion of VBC actions get real mileage out of it. Paying a person to do the action is a different design choice from automating the action itself. (Source: Stellar Health for providers.)

Where an AI execution layer fits

The platforms above are strong at what they were built for. The gap most risk-bearing organizations feel is not a missing dashboard. It is that knowing the gap and closing the gap are two different jobs, and the second job is where staff time disappears.

Here are our answers to the four questions above, so we are held to the same standard as everyone else on this page. Channel: outbound voice agents and computer-use agents that work payer portals and EHRs, with a human taking over on escalation. Time to first contact: the copilot works from the event, so the clock starts when the gap or the ADT message lands, not when a report is compiled. Evidence: the closed gap, the captured diagnosis, and the completed call are written back to the canonical record and to the source system the measure is reported from. Queue: one outreach queue shared across all six teams, which is what stops the same member being called three times in a week.

Pelica is the execution layer. One canonical record per member, built from claims, EHR, pharmacy, lab, ADT, payer SFTP feeds, and call recordings, sits under six role-specific copilots: Risk Adjustment, Quality & Stars, Pharmacy & Part D, Provider Network, Care Management, and an AI Data Analyst. On top of that record is an action layer: outbound voice, EMR overlays, a provider portal, and a coder workspace, plus voice and computer-use agents that operate payer portals and EHRs the way a person would. The point is not to show the work. It is to do it.

~175,000
Patients managed live on one record at our flagship customer
2 weeks
From kickoff to a live copilot built on your existing feeds
12 tools, 5 vendors
Retired by consolidating onto one shared record

At our flagship customer, a physician-led IPA in New York running risk on roughly 175,000 patients, the platform reached 100% team adoption and saved about 10 hours per user per week. Across Pelica deployments, customers have retired 12 separate tools and 5 point vendors after consolidating onto one shared record. That is the trade most buyers are actually weighing: more point tools, or fewer tabs and more work getting done.

Most platforms surface insights. The open question is who closes the loop.

None of this makes analytics platforms wrong. If you have no unified data foundation, you may need one first. But if your teams already know what to do and the work is not getting done at volume, an execution layer is the higher-leverage purchase, and it deploys in weeks rather than quarters.

Best software by team and measure area

"Best value-based care software" resolves differently depending on which team is buying. These category shortlists go deeper on each comparison, with the same fair, cited approach.

Sources and further reading