Patient engagement & telehealth · HIPAA SMS & AI receptionist
Emitrr
Emitrr is a HIPAA-oriented SMS and AI receptionist platform for medical and dental practices. It is practice messaging software, not a full EHR.
Strong fit
- SMB medical and dental practices that want missed-call texting, reminders, and AI receptionist workflows
- Front-desk leaders reducing phone tag with two-way SMS
- Buyers comparing mid-market HIPAA messaging rather than hospital clinical comms suites
Weak fit
- Health systems standardized on enterprise clinical collaboration suites only
- Practices that refuse SMS outreach for compliance reasons
- Buyers that need full EHR replacement rather than messaging
Bottom line
Emitrr earns a Recommend for mid-market practices buying HIPAA-oriented SMS and AI receptionist tooling. Co-founded and led by CEO Anmol Oberoi, the platform turns missed calls into texts, runs reminders, and routes patient conversations for clinics that live on the phone. Third-party interviews put total ARR near $3.6M with a growing healthcare AI line, inside the prefer band. Implementation is a practice communications cutover. Pricing mixes subscription and usage. Score sits under OhMD and Curogram on clinical messaging depth and above thinner blast-SMS tools when AI receptionist plus SMS is the buy.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Emitrr is a patient communication company co-founded by CEO Anmol Oberoi. Medical and dental practices use it for two-way SMS, missed-call texting, reminders, and AI receptionist flows that keep the front desk off endless voicemail.
It is practice messaging software, not a full EHR and not hospital clinical collaboration. Compare Dialog Health when HIPAA SMS campaigns are the peer frame, OhMD when shared clinical inboxes matter more, and CareMessage when safety-net population outreach is the job.
Score reflects strong SMB messaging fit with ordinary mid-market pricing clarity.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| OhMD | 7.5 | 7.4 |
| Curogram | 7.5 | 7.3 |
| PerfectServe | 7.4 | 7.0 |
| Spruce Health | 7.3 | 7.4 |
| Emitrr | 7.2 | 7.1 |
| TigerConnect | 7.1 | 6.9 |
| Rhinogram | 7.1 | 7.3 |
| Dialog Health | 7.0 | 7.1 |
| CareMessage | 7.0 | 6.9 |
| QliqSOFT | 6.7 | 6.5 |
Pricing
| Item | Detail |
|---|---|
| Model | Subscription plus usage for SMS and AI receptionist features; packaged for SMB healthcare. |
| What usually drives cost | Locations, message volume, AI features, and integrations. |
| What to ask in diligence | Monthly platform fee at your location and SMS volume, including AI receptionist options. |
| Published pricing | Packaged pricing discussed publicly; confirm current list on a demo. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Emitrr to function | |
| Front-desk owner named | Messaging fails without reply ownership. |
| Phone and SMS use cases scoped | Blast-only plans underperform. |
| TCPA/HIPAA review complete | Outreach stalls in compliance. |
| EHR or PMS integration path | Otherwise staff double-enter. |
| After-hours coverage rules | Missed-call texting needs a responder. |
| What will maximize your value | |
| Start with reminders and missed calls | Do not automate every journey day one. |
| Measure call volume drop at 30 days | Prove front-desk lift. |
| Retire overlapping SMS tools | Duplicate threads confuse patients. |
| Deal-breakers | |
| Enterprise clinical collab only | |
| Refuse SMS outreach | |
| No front-desk owner | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Compliance and number setup | 1-2 weeks |
| 2 | Pilot location | 2-4 weeks |
| 3 | Scale locations | 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.