AriHum vs ProcoHQ

AriHum and ProcoHQ are both health & fitness tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AriHum

Arihum is a conversational health AI, live on Android, that lets you upload lab reports and ask questions grounded in your personal history, medication list, and prior test results — not a generic search index. Upload a PDF or image of a blood panel, and the app flags out-of-range values, explains them in plain language, and surfaces cross-references like whether a current medication affects iron absorption. The persistent memory model means you never re-explain your conditions from scratch. Where it breaks: Arihum is a chat interface, not a diagnostic engine, so anything requiring a clinical decision loop — dose changes, referral logic, time-sensitive symptom triage — hits a hard wall. iOS access is on a waitlist only.

ProcoHQ

The core workflow is a camera scan of any supplement label. Proco reads each ingredient and dose, compares them against clinical research thresholds from its database of 50+ ingredients, and returns a breakdown: effective dose or underdosed, with the evidence behind the call. The database covers performance ingredients like creatine and citrulline alongside sleep, longevity, and micronutrient categories. The tool is not yet publicly released — it is in a waitlist phase ahead of an iOS launch, so no one has put it through real-world volume testing. Teams or practitioners expecting an API, a web interface, or Android support will find none of those options described anywhere on the current page.

Attribute	AriHum	ProcoHQ
Pricing	Paid	Paid
Free trial	No	No
Open source	No	No
Has API	No	No
Self-hosted option	No	No
Platforms	Android (live); iOS (coming soon)	iOS (coming soon)
Released	2026	—
Pros	Reads lab reports in PDF, image, or typed-text format and explains every flagged value in plain language, so you stop decoding reference ranges alone at midnight. Persistent health memory keeps your conditions, medications, and prior results in context across every conversation, which means you avoid re-uploading the same history every session — the failure mode of every general-purpose chat tool used for health questions. Cross-references lab values against your current medication list, so an interaction like 'does this drug affect iron absorption' gets answered against your actual prescription record rather than a population-level FAQ. Available at any hour without an appointment, so the gap between a Friday result drop and a Monday call to your doctor has an answer layer — even if that layer is 'this warrants a call to your doctor.'	Dose-versus-clinical-threshold comparison for each scanned ingredient, so you can see the exact gap between what a label claims and what trials used — not just whether the ingredient is present. Database spans 50+ ingredients across performance, sleep, longevity, and micronutrient categories, so a single scan covers a multi-purpose supplement stack rather than just stimulant-focused pre-workouts. Evidence citations surface alongside each ingredient verdict, which means you can trace the claim back to the research rather than trusting a black-box score. Free early access tier available via waitlist signup, so users who join before launch avoid a paywall during the evaluation window.
Cons	Arihum is a chat interface with no autonomous planning, no tool integrations, and no API — so any workflow that needs the AI to do something beyond answering a question (schedule a follow-up, push an alert, pipe data into an EHR) cannot be built here. Teams with integration requirements switch to platforms with API access before they finish scoping the project. iOS users cannot access the app yet — only a waitlist signup is available. If your target users are on iPhone, this is a hard blocker with no workaround and no vendor-stated timeline for resolution. The tool explicitly positions itself as a complement to professional medical advice, not a replacement. For users who arrive expecting clinical-grade diagnostic support — differential diagnosis, dosing guidance, symptom triage — the experience will feel deliberately bounded. Those users typically move to platforms with licensed clinical oversight built into the product model.	The app has not launched publicly — it is iOS-only and waitlist-gated, so any team or individual who needs a working tool before the iOS release date hits a hard stop with no workaround described on the page. No API and no web interface are mentioned anywhere in the page content, which means developers building supplement-checking into their own product, or practitioners wanting to run batch label audits, cannot integrate Proco and will need to evaluate a different solution entirely. The database covers 50+ ingredients, but the page notes 'more coming soon' — any supplement containing ingredients outside that set returns no clinical threshold data, and the page gives no guidance on how gaps are handled or flagged during a scan. iOS-only delivery means Android users have no access path at launch, and teams evaluating tools for a mixed-device user base will need a competitor with cross-platform support.

Bottom line

AriHum and ProcoHQ are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between AriHum and ProcoHQ?

AriHum is Paid, while ProcoHQ is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AriHum better than ProcoHQ?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.