Mosai Referrals
Mosai Referrals: A focused referral intake system for homecare teams managing complex admissions workflows. Ranked #26 of 36 in Referral Management Software by our editors (6.1/10); pricing: Pricing on request; best for homecare teams automating referral intake.
At a glance
- Editor score6.1 / 10
- PricingPricing on request
- Best forHomecare teams automating referral intake
- Facts checked20 Sep 2026

Where it wins
- AI extracts, organizes, summarizes, classifies, and prioritizes referral information
- Matches referrals to EHR records and supports packet completion
- Connects with Homecare Homebase, MatrixCare, WellSky, Axxess, and AlayaCare
Where it doesn't
- Pricing requires a demo or sales contact
- Available on the web rather than across multiple platform types
- Designed for home health, hospice, and personal care workflows
Our verdict on Mosai Referrals
Mosai Referrals is patient referral management software for home health, hospice, and personal care providers. It brings referrals from fax, portals, email, and documents into a centralized intake workflow, then applies AI to extract, structure, summarize, classify, and prioritize the information. Admissions and intake teams can also manage referral packets, coordinate with sales, match referrals to EHR records, and track payer and referral-source visibility. Its focus is professional home-based care intake rather than general-purpose referral programs.
The product’s ecosystem fit is a major consideration for teams already working in supported homecare systems. Mosai Referrals integrates with Homecare Homebase, MatrixCare, WellSky, Axxess, and AlayaCare, while EHR data synchronization supports information flow between referral management and operational records. Administrative controls cover dashboards, workflows, and transmission groups, giving teams options for organizing intake processes and collaboration. Organizations outside these homecare environments should assess whether their systems and referral channels fit the product’s supported workflow.
Pricing uses a contact-sales model, so prospective customers should plan for a demo or direct sales discussion rather than a self-serve purchase. The product combines referral capture, AI-assisted data handling, prioritization, EHR matching, documentation management, and collaboration in one specialized system. That makes it a strong candidate for homecare teams seeking to reduce manual referral entry and coordinate admissions work. Teams looking for a broad referral platform, consumer referral programs, rewards, payouts, or general program controls should consider a different category fit.
Your product? Our editors can test Mosai Referrals in depth and publish a review, labelled as paid · from $149/mo →
Mosai Referrals pricing
Mosai Referrals fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Referral types | Not verified |
| Programs included | Not verified |
| Capture methods | Portal |
| Reward types | Not verified |
| Fraud controls | Not verified |
| API or webhooks | Not verified |
| Payout management | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | HIPAA |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: Homecare Homebase, MatrixCare, WellSky, Axxess, AlayaCare See all → |
| Pricing | Pricing on request |
| Website | mosai.com |
| Facts checked | 20 Sep 2026 |
Mosai Referrals integrations
Mosai Referrals lists 5 integrations on its own site.
- Homecare Homebase
- MatrixCare
- WellSky
- Axxess
- AlayaCare
See all Mosai Referrals integrations →
Alternatives to Mosai Referrals
- ReferralCandyA mature referral platform with broad ecommerce integrations and usage-based costs.8.7
- ExtoleA broad referral platform for complex consumer programs across web and mobile.8.6
- Mention MeA broad referral platform for brands that want advocacy analytics and campaign control.8.5
See all Mosai Referrals alternatives →
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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