Clinical systems · Behavioral health documentation & compliance AI
Eleos Health
Eleos Health is AI software for community behavioral health that drafts session notes, checks every note for compliance, and catches billing errors before claims go out.
Strong fit
- Community behavioral health centers and CCBHCs that bill Medicaid and need every note reviewed for compliance
- Substance use disorder programs and home health or hospice teams that document many sessions a day
- Clinical and compliance leaders who want note drafting, compliance checks, and billing guardrails from one vendor
Weak fit
- Primary care and specialty medical groups that need a general ambient scribe
- Solo therapists who want a low-cost self-serve tool
- Programs whose clients or staff will not accept recorded sessions
Bottom line
Eleos Health makes documentation, compliance, and billing software for community-based behavioral health. Clinicians use it to draft notes from individual, group, and psychiatry sessions, and its compliance tools check every note before a claim is submitted. That matters for Medicaid-funded providers, because a documentation error can lead to a payment being taken back.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Eleos Health was founded in 2020 by Alon Joffe, Alon Rabinovich, and Dror Zaide, who met in the Zell Entrepreneurship Program at Reichman University in Israel. The company is based in Boston, with research and development in Tel Aviv. Its software drafts notes from therapy and case-management sessions, scans notes for compliance problems before they are submitted, and flags billing errors before claims are created.
When it announced a $60 million Series C in January 2025, led by Greenfield Partners, Eleos said it had more than 120 customer organizations in over 30 states and had doubled revenue in 2024. Its website now says more than 300 community-based care organizations use it.
Compare DeepScribe or Nabla when the practice is medical rather than behavioral, and Kipu Health when a behavioral health organization is choosing its main EHR.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Abridge | 8.4 | 7.8 |
| Freed | 8.0 | 7.6 |
| Suki | 7.8 | 7.6 |
| Heidi Health | 7.7 | 8.0 |
| Ambience | 7.6 | 7.3 |
| Nabla | 7.6 | 7.2 |
| Eleos Health | 7.4 | 7.0 |
| DeepScribe | 7.3 | 7.0 |
| Tali AI | 6.8 | 7.2 |
Pricing
| Item | Detail |
|---|---|
| Model | Enterprise subscription for behavioral health and community-based care organizations, scoped by clinicians and modules. |
| What usually drives cost | Number of clinicians, programs covered, and whether compliance and revenue-cycle modules are added to documentation. |
| What to ask in diligence | Annual price per clinician or per organization, module prices for compliance and revenue cycle, and EHR integration costs. |
| Published pricing | No public list price. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Eleos Health to function | |
| Client consent process for recorded sessions | Recording without a clear script stalls adoption. |
| EHR connection for note filing | Clinicians will not paste notes by hand for long. |
| Compliance rules written down | The checks need your payer and state rules. |
| Group and individual session workflows mapped | Group notes work differently. |
| Clinical supervisor sponsor | Supervisors decide whether notes are good enough. |
| What will maximize your value | |
| Start with programs that have the most note backlog | Late notes show the clearest gain. |
| Turn on compliance scanning early | Audit teams see value before billing changes. |
| Review denials monthly with the vendor | Billing guardrails need tuning. |
| Deal-breakers | |
| Clients cannot be recorded | |
| No EHR integration path | |
| Medical practice needing a general scribe | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract, consent, and EHR setup | 4-8 weeks |
| 2 | Pilot programs | 6-10 weeks |
| 3 | Agency-wide rollout | 2-4 months |
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.