Heap vs Aidoc
A detailed comparison to help you choose between Heap and Aidoc.
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Verdict: Aidoc wins
Aidoc scores 4.2/5, edging out Heap at 3.8/5. Hospital radiology departments and integrated health systems with meaningful acute imaging volumes that want one governed platform for many FDA-cleared triage algorithms instead of a stack of point solutions.
Heap Capture every user interaction automatically without code changes | Aidoc AI powered radiology image analysis platform | |
|---|---|---|
| Rating | 3.8 (1 review) | 4.2 (1 review) |
| Pricing Model | freemium | paid |
| Starting Price | Free tier available | From $10000/mo |
| Best For | Product and UX teams that want questions answered retroactively without instrumentation planning and accept sales-gated pricing plus add-ons to complete the stack. | Hospital radiology departments and integrated health systems with meaningful acute imaging volumes that want one governed platform for many FDA-cleared triage algorithms instead of a stack of point solutions. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tierteam featuresapi access | api accessteam featuresgdpr compliant |
| Visit Heap → | Visit Aidoc → |
Heap
Pros
- + Retroactive event definitions over auto-captured data: I defined a virtual event against existing interactions and it populated historically — no instrumentation ticket, no waiting for the next release
- + A real free plan covers evaluation properly: up to 10K monthly sessions with core charts, six months of history and SSO, where I built a working funnel and retention chart
- + Enrichment joins third-party firmographic data into captured events, and the free plan lists unlimited enrichment sources
- + The Sense assistant (Growth+) quantified impact on a conversion step I was investigating, cutting the manual comparison work
- + Contentsquare integration lets teams jump from a Heap funnel into zoning, replay and frustration signals in the parent platform
Cons
- - Session replay, error analysis and heatmaps are a paid add-on (Experience Analytics) rather than included, while Mixpanel and Amplitude bundle 10K replays on free plans
- - Auto-capture noise is structural: the first sessions I analyzed were mostly event-sorting overhead before the data became legible
- - No published pricing beyond the free plan — Growth shows a signup estimate and Pro/Premier are sales conversations, which I could not verify to a current number
- - Free plan caps at 6 months of data history and 10K monthly sessions; sessions are also the wrong billing unit for high-traffic content sites
- - EU data residency and region-specific storage are Premier-only, which rules out the lower tiers for some European buyers
Aidoc
Pros
- + Widest FDA-cleared acute triage portfolio I have reviewed: 31 authorisations on the FDA's December 2025 list, plus the first multi-indication clearance covering 14 abdominal CT findings in one workflow
- + Multi-triage consolidation meaningfully reduces alert noise — one flagged study produces one stacked panel, not one pop-up per algorithm
- + Real-world deployment evidence: Mercy Health documented urgent case turnaround falling from 19.8h to 1.3h across 50+ hospitals, with 5,642 patients expedited from 50,749 flagged findings
- + Vendor-neutral aiOS layer lets a health system run third-party and Aidoc algorithms through one governance and notification stack (17 FDA-cleared algorithms deployed at Hartford HealthCare)
- + Care Coordination and Patient Management close the loop beyond triage: mobile alerts with image context, and report mining that routes incidental findings to facility-defined follow-up protocols
Cons
- - No public pricing, no trial, no free tier — third-party estimates of ~$50k/site/year baseline with $8k-$15k per extra module are unverifiable until you are deep in a sales process
- - Hospital-only: requires PACS/RIS/EHR integration work, so it is irrelevant to individual clinicians, small practices and low-volume facilities
- - 510(k) clearance for most modules does not itself require independent clinical performance data (per JAMA Network Open) — buyers should demand the study set, not just the clearance count
- - No public changelog for algorithm updates, which is a real gap for a system whose output feeds clinical decisions
- - Vendor performance figures (order-of-magnitude false-alert reduction, 1,600+ hospitals) are company claims I could not independently audit
Frequently Asked Questions
Which is better, Heap or Aidoc?▼
Aidoc scores higher at 4.2/5 vs 3.8/5 for Heap, making it the better-rated option in our comparison.
What is the difference between Heap and Aidoc?▼
Heap: Heap, part of Contentsquare, automatically captures every click and page view on a site or app, so behaviour can be analysed without defining events in advance. Aidoc: Aidoc analyses medical imaging to flag urgent findings for radiologists and care teams, prioritising the cases that need attention first.
Is Heap or Aidoc more affordable?▼
Heap starts at €0/mo, Aidoc starts at €10000/mo. Check the comparison table above for current pricing.
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