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Healthcare · head to head

Annalise.ai vs Paige

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
Paige logo

Paige

Healthcare

Digital pathology AI holding the first FDA De Novo authorisation for a pathology algorithm, now part of Tempus

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.; Paige the FDA authorisation is confined to prostate core needle biopsies, on compatible scanners, viewed through FullFocus, as an adjunct only; every other tissue type and every grading claim is outside that authorisation in the United States.
  • They diverge on capability: Annalise.ai covers Annalise Enterprise CXR, Paige covers Paige Prostate Detect.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Annalise.ai and Paige differ
AttributeAnnalise.aiPaige

Identical on both: starting price (On request), pricing model (quote), free tier (No), platforms (Web, Cloud, On-premise), 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 Paige

  • Paige Prostate Detect
  • Paige Prostate Grade and Quantify
  • Perineural invasion detection
  • Breast and lymph node applications
  • FullFocus viewer
  • Foundation models
  • OmniScreen
  • Paige Alba

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 Paige
  • A teleradiology provider covering many small hospitals that needs consistent triage before a human readsnot Paige
  • 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 Paige
  • 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 Paige

Paige

  • A reference laboratory processing high volumes of prostate core needle biopsies where a second read on every case is not staffablenot Annalise.ai
  • A pathology department already digitised that wants a documented safety net against missed small foci of cancernot Annalise.ai
  • A hospital laboratory struggling to recruit uropathology subspecialists and needing consistency across generalist reportingnot Annalise.ai
  • A pharmaceutical company needing consistent biomarker scoring across trial sites rather than site-by-site pathologist variabilitynot 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.

Paige

  • The FDA authorisation is confined to prostate core needle biopsies, on compatible scanners, viewed through FullFocus, as an adjunct only; every other tissue type and every grading claim is outside that authorisation in the United States.
  • The algorithm is worthless without a digital pathology programme already running, and slide scanning, storage and workflow typically cost far more than the software licence.
  • Tempus acquired Paige in 2025, so the roadmap now competes for attention inside a genomics-led business, and the pathology-only buyer is no longer the primary customer.
  • Scanner compatibility is a hard constraint rather than a preference, and a laboratory with an unsupported scanner fleet cannot use the authorised indication at all.
  • Pricing is per case or per slide and unpublished, so a laboratory cannot model cost per reported case without entering a sales process.

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

Paige

On request
  • Paige clinical applications$undefined/year
    • Priced per case or per slide analysed under annual agreement
    • Prostate, breast and other applications licensed separately
    • Requires compatible whole slide scanner and the FullFocus viewer for the authorised indication

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 Paige if

  • You need paige prostate detect.
  • You work on Web, Cloud, On-premise.
  • You also want paige prostate grade and quantify.
Paige review

Questions people ask

Is Annalise.ai or Paige better?
Neither clearly leads. Annalise.ai starts at On request and Paige at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Annalise.ai or Paige?
Annalise.ai starts at On request and Paige at On request.
Does Annalise.ai or Paige run on more platforms?
Both run on Web, Cloud, On-premise, so platform support will not decide this one for you.
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 Paige is typically brought in for.
What can Annalise.ai do that Paige cannot?
Annalise.ai covers Annalise Enterprise CXR, Annalise Enterprise CTB, Triage and notification, Worklist reprioritisation. Paige covers Paige Prostate Detect, Paige Prostate Grade and Quantify, Perineural invasion detection, Breast and lymph node applications.

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.

Paige: What exactly is FDA authorised?

Paige Prostate Detect, as an adjunct for identifying areas of interest on digitised prostate core needle biopsy slides, viewed through the Paige FullFocus viewer on a compatible scanner. Nothing else in the portfolio holds that authorisation in the United States.

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.

Paige: Is the European position broader?

Yes. The Paige Prostate suite including grading and quantification received IVDR certification in 2025, which covers more than the United States authorisation.

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.

Paige: What did the pivotal study measure?

Pathologist cancer detection on individual slide images improved, with reported reductions in false negative and false positive readings. It measured pathologist performance with the tool, not standalone algorithm accuracy.

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.

Paige: Who owns Paige now?

Tempus AI acquired Paige in 2025. Products remain branded Paige.

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