Obviously AI vs Aidoc
A detailed comparison to help you choose between Obviously AI and Aidoc.
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Verdict: Aidoc wins
Aidoc scores 4.2/5, edging out Obviously AI at 3.6/5. 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.
Obviously AI Build ML models in one click | Aidoc AI powered radiology image analysis platform | |
|---|---|---|
| Rating | 3.6 (1 review) | 4.2 (1 review) |
| Pricing Model | paid | paid |
| Starting Price | From $75/mo | From $10000/mo |
| Best For | Business analysts at small companies who need scored, explained predictions from spreadsheets and CRMs without hiring a data scientist. | 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 | no codeapi access | api accessteam featuresgdpr compliant |
| Visit Obviously AI → | Visit Aidoc → |
Obviously AI
Pros
- + Free plan is real rather than a trial: 1,200 predictions and one seat with a full model build, no sales call (obviously.ai/pricing)
- + Every prediction comes back with named drivers and is callable through a REST API, so scores can feed a CRM directly instead of a report
- + The Software + Data Scientist tier puts a named master's/PhD-level data scientist on your Slack or Teams for model building and data cleaning
- + Clear published ceilings per tier (Startup: 1 use case, 100 MB, 1M rows; SMB: 3 use cases, 1 GB, 100M rows), so upgrade triggers are visible before you hit them
- + Handles classification, regression and time-series forecasting in one interface with the same upload flow
Cons
- - No dollar prices anywhere on the vendor pricing page at time of writing — every paid tier routes to a signup or demo
- - Free tier exhausts in a single serious scoring run: 1,200 predictions, one seat, one-row-one-prediction metering
- - Startup plan caps at one use case and 100 MB of files, which a real multi-model team meets in the first fortnight
- - Little control over algorithm selection or feature engineering, so practitioners cannot audit or contest the model choice
- - Seed-stage vendor with no disclosed funding since May 2021 and reported headcount in the 1-10 range — a continuity risk for production pipelines
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, Obviously AI or Aidoc?▼
Aidoc scores higher at 4.2/5 vs 3.6/5 for Obviously AI, making it the better-rated option in our comparison.
What is the difference between Obviously AI and Aidoc?▼
Obviously AI: Obviously AI builds and runs machine learning models on tabular data without code, producing predictions and explanations from a spreadsheet or database. Aidoc: Aidoc analyses medical imaging to flag urgent findings for radiologists and care teams, prioritising the cases that need attention first.
Is Obviously AI or Aidoc more affordable?▼
Obviously AI starts at €75/mo, Aidoc starts at €10000/mo. Check the comparison table above for current pricing.
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