Homeo AI vs HomeoAI: Smart Credits or Source-Transparent Review?

Quick answer

Choose HomeoAI at homeoai.online when the clinic wants patient records, practitioner-uploaded repertory and materia medica PDFs, AI-assisted analysis, and a metered Smart Credit plan in one web and mobile-friendly service. Choose Homeo AI at homeo-ai.com when the main job is to preserve a completed case narrative, inspect proposed symptom structure and rubric mappings, open supporting passages, correct the differential, and carry reviewed reasoning into follow-up.

The names are easy to confuse, so domain identity matters. This comparison reviews the HomeoAI product at homeoai.online, not Homoeo AI at homoeo.ai, HomeoAI at homeoai.com, or Homeo AI at homeo-ai.com. A clinic should keep the domain and legal entity beside every price or claim in its procurement notes.

HomeoAI's current Indian pricing starts with a seven-day free trial and 25 Smart Credits. Its paid pages list Clinic Starter at INR 999 monthly with 350 credits, Clinic Premium at INR 1,999 with 1,500 credits, and Clinic Growth at INR 3,999 with 4,000 credits and three staff seats. Those public amounts were rechecked on 16 August 2026. Taxes, checkout currency, renewal terms, and the offer shown to a particular account still need confirmation before purchase.

How Smart Credits change the buying decision

HomeoAI meters AI actions rather than presenting every function as unlimited. Its pricing page says a standard action uses one Smart Credit, advanced analysis uses three, and deep analysis uses five. It currently advertises top-ups of 100 credits for INR 99, 300 for INR 249, 750 for INR 599, and 1,500 for INR 999. Monthly credits can roll over for up to one month, while purchased top-ups are described as valid for 90 days. This model can be economical for a clinic with predictable use, but it makes case complexity, repeat analysis, rollover, and expiry part of the real price.

Do not compare only the monthly plan labels. Build a workload estimate from the clinic's own completed cases. Count the expected number of standard, advanced, and deep actions, repeated analyses after correction, voice or image actions, staff users, and top-ups. Ask whether failed requests, regenerated answers, demonstrations, and support troubleshooting consume credits. Preserve the answer in writing and calculate a low, typical, and high-usage month.

The paid tiers also differ beyond credits. Premium advertises a personal repertory and AI import, while Growth adds staff capacity. Confirm which patient-management, export, backup, reminder, prescription-template, and library controls are included in each tier. A low headline price is not useful if the clinic needs repeated top-ups or a higher tier to retain its required workflow.

The uploaded-library proposition

HomeoAI says its suggestions are grounded in repertory and materia medica PDFs uploaded by the practitioner. Its BHMS page describes repertorising from uploaded PDFs, and its terms place responsibility for uploaded content and licences on the user. This bring-your-own-library approach can appeal to a practitioner who wants familiar sources rather than a hidden generic catalogue.

It also creates diligence work. The clinic must confirm that it has the right to upload each edition, that scans are complete and legible, and that the system identifies the actual title, author, edition, page, and passage behind an answer. A retrieval system can still select an irrelevant passage, lose table structure, confuse abbreviations, or present a plausible synthesis that the uploaded text does not support.

Test the grounding claim with known questions. Include clear passages, near-duplicate remedy descriptions, uncommon rubric wording, scanned pages, missing pages, and deliberate contradictions between two uploaded sources. Record whether the answer names the source, opens the supporting text, distinguishes editions, admits when evidence is absent, and changes after the library is corrected. Do not award credit merely because a familiar remedy appears.

How Homeo AI differs

Homeo AI is centered on an inspectable case-review path. The practitioner starts with a completed narrative, checks how ordinary language was structured, edits or rejects proposed symptoms and rubric mappings, opens linked source passages, compares remedy differences, and preserves the accepted reasoning for follow-up.

That emphasis is narrower than an all-in-one practice manager with metered actions. Homeo AI should not be described as including HomeoAI's exact Smart Credit model, uploaded personal repertory feature, patient-management suite, or staff-seat plan. HomeoAI should not be assumed to reproduce Homeo AI's exact correction trail simply because it says outputs are PDF-grounded.

The decisive question is where the clinic's bottleneck sits. If the hard problem is maintaining patients, importing a familiar library, and accessing several AI tools within a known monthly allowance, HomeoAI may fit better. If the hard problem is letting another qualified practitioner reconstruct why a patient's phrase became a proposed rubric and how the differential changed after correction, Homeo AI may fit better.

Privacy and governance questions

HomeoAI's privacy and terms pages both displayed a 16 August 2026 update date when rechecked. The privacy page names Supabase, Lovable AI, and Razorpay, describes patient and clinical information the service may process, and says data is anonymized where possible before AI processing. It also says customer data is not used to train AI models without explicit consent. The terms restrict the service to qualified practitioners or supervised students, keep clinical responsibility with the user, and place responsibility for uploaded repertory and materia medica licences on the account holder.

The current privacy text has a material retention conflict that should be resolved before identifiable records are entered. Its DPDP section says account-bound patient records are permanently deleted within 30 days after deletion is requested. A later retention section says customer data is retained for 90 days after account closure for recovery and then deleted. The page does not explain whether the two clocks apply to different events, systems, or copies. Obtain a written retention schedule covering the live database, backups, logs, AI-provider copies, and payment records, and test the applicable workflow with non-production data.

The current terms add other measurable procurement rules: paid-plan credits reset each billing period, unused monthly credits can roll over for one month, purchased top-ups remain valid for 90 days, and a terminated account has a 30-day export window. The terms also describe a seven-day refund window as discretionary and point buyers to the separate cancellation and refund policy. These rules should be captured with the checkout and contract because they directly affect cost and exit planning.

Treat those statements as the start of diligence, not an audit result. Ask which exact fields are removed or transformed before each provider receives a request, whether free text can still contain indirect identifiers, where prompts and outputs are processed, how long logs remain, whether data is used for training or evaluation, and how deletion propagates through backups and processors. A US covered entity should obtain the promised business associate agreement before regulated use, not infer that one exists from a general HIPAA reference.

Ask how uploaded copyrighted books are isolated between accounts, whether staff can export them, what happens to the library after cancellation, and whether an account owner can remove a former staff member immediately. Test a patient export and deletion request in the trial. The clinic should be able to recover its own record without depending on a screenshot or a vendor-controlled interface.

Until written answers satisfy clinic policy, use only completed, de-identified cases. Remove names, dates of birth, phone numbers, email addresses, record identifiers, exact visit dates, images, addresses, rare occupations, and combinations that could identify a person.

A reproducible clinic test

Prepare eight completed, de-identified cases already reviewed by the same practitioner. Include two straightforward cases, two close differentials, one follow-up, one incomplete narrative, one case with unusual wording, and one case that requires correction of an initially plausible mapping. Keep an answer packet outside both products with the original wording, accepted structure, sources checked, rejected interpretations, final differential, and follow-up changes.

In HomeoAI, upload only sources the clinic is licensed to use. Record the plan, starting credit balance, action type, credits consumed, processing time, source identity, supporting passage, correction steps, and export result. Repeat two cases after correcting the uploaded library and note whether the answer changes. Test a staff invitation, patient export, deletion, and cancellation path without entering live patient data.

In Homeo AI, enter the same de-identified narratives. Record each proposed symptom and rubric accepted, edited, or rejected, every passage inspected, the time needed to correct a material mistake, and whether a second practitioner can reconstruct the final reasoning. Reopen the follow-up case and confirm that new information does not overwrite the earlier rationale.

Score both products on narrative fidelity, source traceability, correction time, unsupported claims caught, repeatability, export completeness, deletion, access control, and total cost at the clinic's actual action mix. Do not use agreement with the historical prescription as proof of correctness. A matching remedy can still arise from an unsupported mapping or an incomplete source.

Known limits and clinical responsibility

An uploaded library does not guarantee accurate retrieval. A citation does not prove the passage supports the conclusion. A Smart Credit meter does not reveal total cost until the clinic measures repeated and failed actions. Broad compliance language does not replace a signed contract, processor list, access test, recovery test, and deletion test.

Homeo AI can also misread a narrative, propose an unsuitable rubric, omit relevant evidence, or produce a plausible differential that requires correction. Inspectability makes work reviewable; it does not guarantee a correct result.

Neither product replaces diagnosis, referral, an emergency-care decision, practitioner judgment, prescription, potency, dosage, or follow-up responsibility. Urgent, severe, or rapidly worsening symptoms require appropriate medical assessment. The practitioner remains accountable for every accepted symptom, source, rubric, and clinical action.

Conditional verdict

Choose HomeoAI at homeoai.online if the clinic wants a personal uploaded library, integrated records, several AI action levels, and a metered monthly plan, and if its processor, licence, export, and credit rules pass written diligence. Measure a representative month before treating INR 999 as the clinic's real cost.

Choose Homeo AI at homeo-ai.com if the priority is a reconstructable path from original narrative to corrected structure, inspected sources, remedy differentiation, and follow-up. If both jobs matter, test a controlled handoff. Keep the original narrative, accepted mappings, source identity, credit log, and final practitioner decision visible without creating conflicting patient records.

Official sources checked

• HomeoAI official pricing
• HomeoAI official terms
• HomeoAI official privacy policy
• HomeoAI official BHMS doctor tool page

Product facts reviewed 2026-08-16. Confirm current features, prices, source libraries, and terms with the vendor.