Population health & analytics · Mid-market VBC dashboards
Hexplora
Hexplora sells mid-market population health dashboards, care-gap views, and quality reporting for plans, ACOs, and providers. It is dashboard and care-gap software, not OR capacity math.
Strong fit
- Health plans, ACOs, and IPAs that need mid-market population health dashboards, care-gap views, and quality reporting without an enterprise data-platform program
- Teams that want pre-built KPIs and predictive helpers on a smaller budget
- Buyers measuring care-gap closure after the dashboards go live
Weak fit
- Health systems that only want OR capacity optimization
- Enterprise plans that require a full predictive science platform like Certilytics at scale
- Organizations refusing to connect claims and clinical feeds
Bottom line
Hexplora earns a Conditional for mid-market plans and ACOs that need practical population health dashboards without an enterprise analytics program. CEO and co-founder Srinivas Pendyala leads the Connecticut-based firm with third-party revenue near roughly $2M - early-stage inside our prefer band. Outcomes still require care teams to work the lists. It is thinner than Azara or Cozeva when safety-net depth or plan quality/risk suites dominate. Score sits at the bottom of this board as a Conditional dashboard pick for smaller VBC programs.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Hexplora is a mid-market healthcare analytics company that sells population health dashboards, care-gap views, quality reporting, and related predictive helpers for plans, ACOs, and providers.
It is dashboard and care-gap software, not OR capacity math. Compare Azara when FQHC UDS depth is the job, Cozeva when plan quality and risk adjustment dominate, and Relevant Healthcare when safety-net analytics on a smaller footprint is enough.
Score reflects an early Conditional mid-market option with thinner proof than the top of this board.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Azara Healthcare | 7.6 | 7.2 |
| Cozeva | 7.5 | 7.2 |
| Persivia | 7.4 | 7.1 |
| Syra Health | 7.4 | 7.1 |
| Certilytics | 7.3 | 7.0 |
| Trella Health | 7.3 | 7.0 |
| IMAT Solutions | 7.0 | 6.7 |
| Elligint Health | 6.9 | 6.6 |
| Olio | 6.9 | 6.7 |
| Lightbeam Health Solutions | 6.8 | 6.5 |
| Relevant Healthcare | 6.8 | 6.6 |
| Hexplora | 6.7 | 6.5 |
Pricing
| Item | Detail |
|---|---|
| Model | Cloud population health and analytics subscription; quote-based by organization size. |
| What usually drives cost | Covered lives or attributed patients, dashboard packs, and data integration scope. |
| What to ask in diligence | Annual platform fee at your membership size, with which care-gap and quality modules are included. |
| Published pricing | No public list price; expect a custom quote. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Hexplora to function | |
| Quality or care-management owner named | Dashboards die without owners. |
| Claims and clinical feeds scoped | No data means no gaps. |
| Baseline quality metrics | You cannot prove lift without a baseline. |
| Privacy and BAA review complete | Analytics stall in security. |
| Outreach capacity ready | Lists without follow-up waste the license. |
| What will maximize your value | |
| Pilot one ACO or IPA first | Enterprise day one multiplies noise. |
| Measure gap closure at 90 days | Prove dashboard value. |
| Retire overlapping spreadsheet reports | Duplicate queues confuse staff. |
| Deal-breakers | |
| Only need OR capacity math | |
| No data sharing allowed | |
| No quality owners available | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Security and data mapping | 3-6 weeks |
| 2 | Pilot dashboards | 4-8 weeks |
| 3 | Scale reporting | 2-4 weeks |
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 actually 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.