Arine vs TailorMed (2026)

AI Health Index verifiedAugust 4, 2026
Verdict

Both address why patients do not take their medicines, and they answer different halves of it. Arine works the clinical half for health plans, ingesting clinical, socioeconomic and behavioural data across a membership to find people whose regimen is failing them, with HITRUST at the risk based tier and named client results. TailorMed works the financial half for providers and pharmacies, finding at risk patients and matching them to assistance so the medicine is affordable in the first place. A patient can be perfectly identified by one and still not fill the prescription for reasons the other addresses. Both report self measured savings, and neither publishes subgroup performance, which matters because both decide who gets helped.

The case for Arine
  • It ingests clinical, socioeconomic and behavioural data across a plan's membership to find members at risk before an event, with HITRUST at the risk based tier.
  • Results are named to real clients with quantified savings per engaged member, which is more commercial specificity than most vendors here provide.
  • The buyer is the plan, so the workflow and contracting are shaped for population level medication management.
The case for TailorMed
  • It identifies financially at risk patients and matches them to assistance programmes, which is provider side work aimed at the patient's ability to pay.
  • The incentive is aligned with the patient affording their care rather than with a savings figure reported to a plan.
  • Financial navigation reaches across therapies and payers rather than optimising one membership.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Arine and TailorMed are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded

At a Glance

Plain facts

Fact Arine TailorMed
Primary category Medication Safety & Prescribing Healthcare Administrative Automation
Founded 2019 2016
Headquarters San Francisco, California, United States New York, New York, United States
Website arine.io tailormed.com
Attribute Matrix

Side by Side

Axis
A
Arine
T
TailorMed
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

Each record in one paragraph

Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.

Arine

The AI Health Index awards Arine its top capability grade on AI Centrality. Set against TailorMed, Arine grades higher on AI Centrality, Model Supply Chain Disclosure and AI Liability and Recourse. Its thinnest published disclosure sits on HIPAA and BAA Posture and Commercial Transparency. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.

Source: AI Health Index, August 2026

TailorMed

The AI Health Index records no top capability grade for TailorMed on any axis it scores. Set against Arine, TailorMed grades higher on HIPAA and BAA Posture, EHR and Interoperability Depth and Commercial Transparency. Its thinnest published disclosure sits on Model Supply Chain Disclosure and AI Liability and Recourse. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.

Source: AI Health Index, August 2026

FAQ

Questions buyers ask

Should we choose Arine or TailorMed?

On the axes where the AI Health Index separates them, Arine grades higher on AI Centrality, Model Supply Chain Disclosure and AI Liability and Recourse, and TailorMed grades higher on HIPAA and BAA Posture, EHR and Interoperability Depth and Commercial Transparency. Neither leads on the greater share of scored axes, so the decision turns on which constraint is binding rather than on an overall winner.

Where do Arine and TailorMed differ most?

The widest separation the AI Health Index records between Arine and TailorMed is on AI Centrality, where Arine grades A and TailorMed grades C. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.

Where do Arine and TailorMed grade the same?

The AI Health Index grades Arine and TailorMed the same on several axes, including Autonomy and Oversight Model, Model and Technology Transparency and Clinical and Operational Evidence. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.

What have Arine and TailorMed not disclosed?

At the last review, at least one of Arine and TailorMed published thin or absent detail on several axes, including Model Supply Chain Disclosure, HIPAA and BAA Posture and AI Liability and Recourse. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.

Keep Comparing

Related comparisons

Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Value Based Care Intelligence page.

Disclosure

Both vendors sell outcomes measured by the party being paid for them, and the savings figures on either side are self reported, so ask for the denominator, the comparison group and who computed the result. Neither publishes a subgroup analysis, and in medication management that gap matters twice over: a model that decides who gets a pharmacist intervention and a workflow that decides who is offered financial assistance both fail quietly for the populations they reach least well. Neither publishes pricing.