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Healthcare · head to head

Annalise.ai vs OpenClinica

Annalise.ai logo

Annalise.ai

Healthcare

Multi-finding chest X-ray and head CT triage AI with FDA clearance on named findings, not on the whole model

From
On request
Rated
-
Full reviewWebsite
OpenClinica logo

OpenClinica

Healthcare

Clinical trial EDC with a genuinely open source community edition alongside a quoted commercial platform

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Annalise.ai the United States cleared indication covers roughly ten findings for triage and notification, far fewer than the model reports, so a buyer who evaluates the full multi-finding output and then contracts in the United States gets a much narrower cleared use.; OpenClinica the free community edition is a different and older product line from the commercial platform, so evaluating the open source build tells you little about what the paid product actually does.
  • They diverge on capability: Annalise.ai covers Annalise Enterprise CXR, OpenClinica covers Open source community edition.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Annalise.ai and OpenClinica actually diverge.

Attributes where Annalise.ai and OpenClinica differ
AttributeAnnalise.aiOpenClinica
PlatformsWeb, Cloud, On-premiseWeb, Self-hosted, iOS, Android

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Healthcare).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Annalise.ai

  • Annalise Enterprise CXR
  • Annalise Enterprise CTB
  • Triage and notification
  • Worklist reprioritisation
  • Localisation overlays
  • Confidence output
  • PACS-native deployment
  • On-premise or cloud inference

Only in OpenClinica

  • Open source community edition
  • Electronic data capture
  • eConsent
  • eCOA and ePRO
  • Randomisation
  • EHR-to-EDC
  • Audit trail
  • Reporting and analytics

What people use each for

The jobs each tool is most often brought in to do.

Annalise.ai

  • An emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnestnot OpenClinica
  • A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot OpenClinica
  • A screening programme in Europe where the broader CE marked decision support indication, rather than the narrow United States triage clearance, is what is being deployednot OpenClinica
  • A radiology department building an AI governance programme that wants one vendor covering both chest radiograph and head CT rather than contracting two separate algorithm suppliersnot OpenClinica

OpenClinica

  • An academic coordinating centre running investigator-initiated trials that needs Part 11 compliant capture without an enterprise eClinical budgetnot Annalise.ai
  • A registry or observational cohort study collecting structured data across many sites over yearsnot Annalise.ai
  • A small device sponsor that needs eConsent and ePRO in the same system as its case report formsnot Annalise.ai
  • An informatics group that wants to self-host the open source edition for a non-regulated internal studynot Annalise.ai

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Annalise.ai

  • The United States cleared indication covers roughly ten findings for triage and notification, far fewer than the model reports, so a buyer who evaluates the full multi-finding output and then contracts in the United States gets a much narrower cleared use.
  • Triage AI reprioritises a worklist but does not change clinical decisions on its own, so departments that do not redesign how urgent studies are picked up see no measurable improvement in time to treatment.
  • Published validation is largely reader study evidence on detection of individual findings; prospective evidence of shorter time to treatment in routine emergency care is thin.
  • The Annalise brand is being migrated under the Harrison.ai name for the critical care offering, which creates ambiguity in multi-year contracts about what product name is actually being supported.
  • A high finding count raises the alert burden, and departments report that low prevalence findings generate false positives that erode radiologist trust unless the alerting thresholds are tuned locally.

OpenClinica

  • The free community edition is a different and older product line from the commercial platform, so evaluating the open source build tells you little about what the paid product actually does.
  • The vendor provides no support or services at all for the community edition, which means outages, patching, database upgrades and validation documentation are entirely your problem.
  • Commercial pricing is not published, so you cannot benchmark it against alternatives without entering a sales process, and third-party figures around USD 1,000 a month are indicative rather than contractual.
  • Study build is skilled work: complex edit checks, randomisation schemes and integrations usually mean paying for vendor or consultant configuration services on top of the licence, which is a frequently underestimated line in the budget.
  • As a smaller vendor than the large eClinical suites it has a thinner partner and consultant ecosystem, so finding experienced build staff or a CRO already fluent in the platform is harder than with the market incumbents.

Pricing, plan by plan

Annalise.ai

On request
  • Annalise Enterprise$undefined/year
    • Priced per study analysed or as an annual volume subscription
    • CXR and CTB licensed separately
    • Cleared finding set differs by market, which changes what you are buying

OpenClinica

On request
  • Community Edition$undefined/year
    • Free and open source under the LGPL
    • Self-hosted, on the older 3.x line
    • No vendor support or services of any kind
  • OpenClinica Enterprise$undefined/year
    • Pricing only through a sales process
    • Hosted and validated instance
    • EDC, eConsent, eCOA, randomisation and analytics modules

Which should you pick?

Choose Annalise.ai if

  • You need annalise enterprise cxr.
  • You work on Web, Cloud, On-premise.
  • You also want annalise enterprise ctb.
Annalise.ai review

Choose OpenClinica if

  • You need open source community edition.
  • You work on Web, Self-hosted, iOS, Android.
  • You also want electronic data capture.
OpenClinica review

Questions people ask

Is Annalise.ai or OpenClinica better?
Neither clearly leads. Annalise.ai starts at On request and OpenClinica at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Annalise.ai or OpenClinica?
Annalise.ai starts at On request and OpenClinica at On request.
Does Annalise.ai or OpenClinica run on more platforms?
Annalise.ai runs on Web, Cloud, On-premise. OpenClinica runs on Web, Self-hosted, iOS, Android.
What is Annalise.ai best used for?
Annalise.ai is most often used for an emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnest, a teleradiology provider covering many small hospitals that needs consistent triage before a human reads, a screening programme in europe where the broader ce marked decision support indication, rather than the narrow united states triage clearance, is what is being deployed, a radiology department building an ai governance programme that wants one vendor covering both chest radiograph and head ct rather than contracting two separate algorithm suppliers. Of those, an emergency department wanting pneumothorax and intracranial haemorrhage pushed to the front of the reading queue overnight when cover is thinnest and a teleradiology provider covering many small hospitals that needs consistent triage before a human reads are not what OpenClinica is typically brought in for.
What can Annalise.ai do that OpenClinica cannot?
Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. OpenClinica covers Open source community edition, Electronic data capture, eConsent, eCOA and ePRO.

Answered from the vendors’ own pages

Annalise.ai: How many findings are FDA cleared?

Around ten across chest X-ray and head CT, for triage and notification only. The model reports far more findings than that; the rest are not cleared in the United States.

OpenClinica: Is OpenClinica free?

There is a genuinely free, LGPL licensed community edition you host yourself with no vendor support. The commercial platform with eConsent, eCOA and a validated hosted instance is quoted and paid.

Annalise.ai: Is the European position different?

Yes. CE marking under the medical device regulation covers a broader decision support indication than the United States triage and notification clearances, so the same software is a different regulatory product depending on where you deploy it.

OpenClinica: Is the open source version still maintained?

Yes, releases on the 3.x line continued through 2025, but it is a separate and older architecture from the commercial product.

Annalise.ai: Does it diagnose?

No. In the United States it is a triage and notification device: it flags studies for earlier review, and the radiologist makes the diagnosis.

OpenClinica: Does it meet 21 CFR Part 11?

The commercial hosted platform is built for Part 11 and GCP compliance. If you self-host the community edition, compliance and validation are entirely your responsibility.

Annalise.ai: Is Annalise.ai becoming Harrison.ai?

The critical care offering is now marketed under the Harrison.ai name. Ask the vendor to name the contracted product explicitly before signing a multi-year deal.

OpenClinica: What does the commercial version cost?

Not published. Third-party listings suggest enterprise arrangements from around USD 1,000 per month, but real cost depends on study count, subjects, modules and build services.

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