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Annalise.ai

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Namestring
Annalise.ai
Legal namestring
Annalise.ai
Websiteurl
annalise.ai
Company typeenum
Private
Founded yearint
2019
Descriptiontext

Annalise.ai is an Australian clinician-led artificial intelligence company founded in 2019 and headquartered in Sydney, specializing in comprehensive AI solutions for medical imaging — primarily chest X-ray interpretation and non-contrast head CT analysis. The company's core product is an AI diagnostic platform that identifies 12 findings in under 90 seconds, integrating within existing clinical workflows to surface emergent and incidental findings for radiologist review. Underpinning this is the Harrison.Rad 1.5 radiology-specific foundation model, a proprietary next-generation architecture that supports the company's product portfolio. The technology operates as a computer vision and anomaly detection system, processing chest radiographs for disease detection including lung cancer screening and triage support.

The company operates as part of the broader Harrison.ai Radiology portfolio, with multiple AI solutions unified under the Harrison.ai brand. Annalise.ai's go-to-market is an enterprise B2B direct sales model targeting three primary customer segments: public hospitals and NHS trusts, private radiology providers, and private hospital networks. Pricing is quote-based and not publicly disclosed, consistent with large institutional contracts. The platform is deployed across 1,000+ sites spanning four continents and 40+ countries with regulatory clearance, used by 3,500 clinicians globally. Key institutional customers include NHS England (64 trusts covering 2.8 million chest X-rays annually), Gleneagles Hong Kong, Capital Health, Inland Imaging, Radiology Associates of North Texas, Manipal Hospitals, and Apollo Radiology, among others.

Revenue is generated through AI diagnostic software licensing to hospitals and radiology providers, with deployment via institutional procurement mechanisms including the NHS AI Diagnostic Fund. The company is backed by $240 million in total funding from leading global investors. Strategic partnerships include a 2025 data-sharing alliance with I-MED Radiology (Australia's largest diagnostic imaging network) for AI model training, validated by the Australian Privacy Commissioner. Reported customer outcomes include 45% improvement in diagnostic accuracy and 12% improvement in efficiency across NHS deployments, alongside documented reductions in patient wait times at UK and Norwegian hospital systems.

Short descriptiontext

Annalise.ai is an Australian clinician-led AI company developing medical imaging solutions, primarily chest X-ray interpretation and head CT analysis, sold via enterprise B2B licensing to public hospitals, private radiology providers, and hospital networks across 40+ countries.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
251–500
akta.pro rankint
HeadquartersSydney, Australia
HQ citystring
Sydney
HQ countrystring
Australia
HQ regionstring
Oceania
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
medical imaging AI, radiology diagnostics, chest X-ray analysis, clinical decision support, AI diagnostic platform
Industry4 codes
PRIMARYHLAHABAJ
Radiology AI, CAD & Advanced Visualization Software
Healthcare & Life Sciences/Medical Devices & Diagnostics/Medical Imaging & Radiology Equipment
SECONDARYHDAAAEAH
Medical Imaging AI
SECONDARYHLAAALAO
Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays)
SECONDARYHLACALAG
AI Orchestration & Imaging Analytics Platforms (Model Management/Triage)
Healthcare & Life Sciences/Digital Health & Health IT/Medical Imaging Informatics (PACS/RIS/VNA) & Radiology IT
NAICS code3 codes
  • Software Publishers5132
  • Computer Systems Design and Related Services54151
  • Diagnostic Imaging Centers621512
SIC code2 codes
  • In Vitro & In Vivo Diagnostic Substances2835
  • Services-Computer Programming Services7371
Product category
Medical Imaging AI / Radiology Diagnostics
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1AI Diagnostic Software Licensing
TypeSubscription Recurring
Description

Enterprise licensing of imaging AI solutions to hospitals and radiology providers. Deployment via NHS AI Diagnostic Fund and direct institutional procurement suggests recurring subscription or contract-based revenue model.

harrison.ai
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Annalise.ai develops and licenses AI diagnostic software for chest X-ray interpretation, identifying emergent, incidental, and lung-cancer-related findings to support radiologist triage and worklist prioritization. The platform is deployed across NHS England trusts and other healthcare institutions globally, processing millions of chest X-rays annually. It operates as part of the consolidated Harrison.ai Radiology brand, which unifies radiology AI offerings under a single portfolio.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • 45% improvement in diagnostic accuracy
+6 more records
Product overview1 text field

Annalise.ai offers a chest X-ray AI diagnostic platform as part of the Harrison.ai Radiology portfolio. The solution provides AI-powered chest X-ray interpretation and triage capabilities deployed across NHS trusts in the UK. The product identifies findings in chest radiographs and supports early lung cancer detection, with the technology unified under the Harrison.ai Radiology brand following Harrison.ai's consolidation of its radiology AI solutions.

Product and service1 record
1Annalise.ai Chest X-ray Platform
CategoryMedical Imaging AI / Radiology Diagnostics
Description

AI diagnostic tool for chest X-ray interpretation that aids in early lung cancer detection and general radiological findings identification. It is deployed across NHS England trusts through the AI Diagnostic Fund, supporting the diagnosis of 2.8 million chest X-rays annually, and is intended for hospital radiology departments and imaging networks.

Scale indicator12 records

Each record includes

Type, Value, Description, Source

Partnership1 partner
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-07-31
Description

Data sharing partnership for AI model training. I-MED shared patient data with Harrison.ai and Annalise.ai for training AI diagnostic models. Australian Privacy Commissioner investigated and concluded data was adequately de-identified, allowing continued use without regulatory action.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

India-based medical imaging AI company with chest X-ray, head CT, and tuberculosis screening products. Direct competitor in NHS England AI deployments and APAC public health markets.

TypeDirect peer
Description

South Korean AI company whose flagship Lunit INSIGHT CXR analyzes chest X-rays for lesion detection. Competes head-to-head with Annalise.ai in CXR triage and lung cancer screening use cases.

TypeDirect peer
Description

Israel-based imaging AI vendor offering a broad suite of triage and notification algorithms across CT and X-ray, frequently deployed alongside NHS and large hospital systems. Direct competitor in enterprise radiology AI workflows.

TypeDirect peer
Description

Lithuania-based AI company focused on chest X-ray diagnosis and autonomous reporting. Direct competitor in European CXR AI deployments and lung cancer/tuberculosis screening.

TypeDirect peer
Description

South Korean medical AI company with chest X-ray products (VUNO Med-Chest X-ray) and other diagnostic algorithms. Comparable CXR AI competitor with regulatory clearances in multiple markets.

TypeDirect peer
Description

Netherlands-based health technology company providing AI-enabled chest X-ray solutions, particularly for tuberculosis screening in low- and middle-income countries. Comparable in CXR AI and public health deployments.

TypeDirect peer
Description

Imaging AI platform acquired by Nanox, offering AI algorithms for chest, CT, and mammography across enterprise health systems. Competitor in multi-modality radiology AI for hospitals and radiology groups.

TypeBroad incumbent
Description

Global imaging equipment and enterprise PACS vendor embedding AI into CT, X-ray, and Edison platform. Competes with Annalise.ai via bundled AI and procurement incumbency in large hospital systems.

TypeBroad incumbent
Description

Provides enterprise imaging, PACS, and IntelliSpace AI platform with embedded radiology AI tools. Incumbent imaging vendor that increasingly bundles AI capabilities, competing with Annalise.ai for hospital budgets.

TypeBroad incumbent
Description

Operates AI-Rad Companion and syngo.via platforms offering AI-augmented radiology across modalities. Broad incumbent that competes with Annalise.ai by integrating AI into installed imaging bases.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks7 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers9 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability3 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature3 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Annalise.ai

Medical Imaging AI / Radiology Diagnosticsannalise.ai

Annalise.ai is an Australian clinician-led AI company developing medical imaging solutions, primarily chest X-ray interpretation and head CT analysis, sold via enterprise B2B licensing to public hospitals, private radiology providers, and hospital networks across 40+ countries.

What Annalise.ai does

Annalise.ai is an Australian clinician-led artificial intelligence company founded in 2019 and headquartered in Sydney, specializing in comprehensive AI solutions for medical imaging — primarily chest X-ray interpretation and non-contrast head CT analysis. The company's core product is an AI diagnostic platform that identifies 12 findings in under 90 seconds, integrating within existing clinical workflows to surface emergent and incidental findings for radiologist review. Underpinning this is the Harrison.Rad 1.5 radiology-specific foundation model, a proprietary next-generation architecture that supports the company's product portfolio. The technology operates as a computer vision and anomaly detection system, processing chest radiographs for disease detection including lung cancer screening and triage support.

The company operates as part of the broader Harrison.ai Radiology portfolio, with multiple AI solutions unified under the Harrison.ai brand. Annalise.ai's go-to-market is an enterprise B2B direct sales model targeting three primary customer segments: public hospitals and NHS trusts, private radiology providers, and private hospital networks. Pricing is quote-based and not publicly disclosed, consistent with large institutional contracts. The platform is deployed across 1,000+ sites spanning four continents and 40+ countries with regulatory clearance, used by 3,500 clinicians globally. Key institutional customers include NHS England (64 trusts covering 2.8 million chest X-rays annually), Gleneagles Hong Kong, Capital Health, Inland Imaging, Radiology Associates of North Texas, Manipal Hospitals, and Apollo Radiology, among others.

Revenue is generated through AI diagnostic software licensing to hospitals and radiology providers, with deployment via institutional procurement mechanisms including the NHS AI Diagnostic Fund. The company is backed by $240 million in total funding from leading global investors. Strategic partnerships include a 2025 data-sharing alliance with I-MED Radiology (Australia's largest diagnostic imaging network) for AI model training, validated by the Australian Privacy Commissioner. Reported customer outcomes include 45% improvement in diagnostic accuracy and 12% improvement in efficiency across NHS deployments, alongside documented reductions in patient wait times at UK and Norwegian hospital systems.

Annalise.ai firmographics

Firmographics
Name
Annalise.ai
Legal name
Annalise.ai
Website
https://annalise.ai
Company type
Private
Founded year
2019
Operating status
Operating
Headcount range
251–500 employees
Short description
Annalise.ai is an Australian clinician-led AI company developing medical imaging solutions, primarily chest X-ray interpretation and head CT analysis, sold via enterprise B2B licensing to public hospitals, private radiology providers, and hospital networks across 40+ countries.
Ownership category
akta.pro rank

Annalise.ai industry classification

Industry
Product category
Medical Imaging AI / Radiology Diagnostics
NAICS
Software Publishers (5132), Computer Systems Design and Related Services (54151), Diagnostic Imaging Centers (621512)
SIC
In Vitro & In Vivo Diagnostic Substances (2835), Services-Computer Programming Services (7371)
akta.pro industry
PRIMARYHLAHABAJ
Radiology AI, CAD & Advanced Visualization Software
Healthcare & Life Sciences/Medical Devices & Diagnostics/Medical Imaging & Radiology Equipment
SECONDARYHDAAAEAH
Medical Imaging AI
SECONDARYHLAAALAO
Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays)
SECONDARYHLACALAG
AI Orchestration & Imaging Analytics Platforms (Model Management/Triage)
Healthcare & Life Sciences/Digital Health & Health IT/Medical Imaging Informatics (PACS/RIS/VNA) & Radiology IT

Keywords

  • Medical imaging AI
  • Radiology diagnostics
  • Chest X-ray analysis
  • Clinical decision support
  • AI diagnostic platform

Where Annalise.ai is headquartered

Location

Headquarters

HQ city
Sydney
HQ country
Australia
HQ region
Oceania

Offices1 record

Markets served

Annalise.ai business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure

Revenue model

  1. AI Diagnostic Software Licensing: Enterprise licensing of imaging AI solutions to hospitals and radiology providers. Deployment via NHS AI Diagnostic Fund and direct institutional procurement suggests recurring subscription or contract-based revenue model.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Annalise.ai product offering

Product offering

Core offering

Annalise.ai develops and licenses AI diagnostic software for chest X-ray interpretation, identifying emergent, incidental, and lung-cancer-related findings to support radiologist triage and worklist prioritization. The platform is deployed across NHS England trusts and other healthcare institutions globally, processing millions of chest X-rays annually. It operates as part of the consolidated Harrison.ai Radiology brand, which unifies radiology AI offerings under a single portfolio.

Product overview

Annalise.ai offers a chest X-ray AI diagnostic platform as part of the Harrison.ai Radiology portfolio. The solution provides AI-powered chest X-ray interpretation and triage capabilities deployed across NHS trusts in the UK. The product identifies findings in chest radiographs and supports early lung cancer detection, with the technology unified under the Harrison.ai Radiology brand following Harrison.ai's consolidation of its radiology AI solutions.

Differentiator

Problem solved

Functional benefit

Products and services

  • Annalise.ai Chest X-ray Platform AI diagnostic tool for chest X-ray interpretation that aids in early lung cancer detection and general radiological findings identification. It is deployed across NHS England trusts through the AI Diagnostic Fund, supporting the diagnosis of 2.8 million chest X-rays annually, and is intended for hospital radiology departments and imaging networks.

Quantifiable outcome

  • 45% improvement in diagnostic accuracy
  • +6 more outcomes

Companies that use Annalise.ai

Customer profile

Named customers9 records

Segments3 records

Ideal customer profiles2 records

Annalise.ai technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability3 records

Feature3 records

Annalise.ai partnerships and signals

Strategic signal

Partnerships

One partnership is on record.

  • I-MED RadiologycoreStrategic or Co-development Partner · 31 July 2025Data sharing partnership for AI model training. I-MED shared patient data with Harrison.ai and Annalise.ai for training AI diagnostic models. Australian Privacy Commissioner investigated and concluded data was adequately de-identified, allowing continued use without regulatory action.

Scale indicators12 records

Recent moves6 records

Expansion highlights6 records

Annalise.ai competitors and assessment

Company assessment

Direct peers

  • Qure.ai: India-based medical imaging AI company with chest X-ray, head CT, and tuberculosis screening products. Direct competitor in NHS England AI deployments and APAC public health markets.
  • Lunit: South Korean AI company whose flagship Lunit INSIGHT CXR analyzes chest X-rays for lesion detection. Competes head-to-head with Annalise.ai in CXR triage and lung cancer screening use cases.
  • Aidoc: Israel-based imaging AI vendor offering a broad suite of triage and notification algorithms across CT and X-ray, frequently deployed alongside NHS and large hospital systems. Direct competitor in enterprise radiology AI workflows.
  • Oxipit: Lithuania-based AI company focused on chest X-ray diagnosis and autonomous reporting. Direct competitor in European CXR AI deployments and lung cancer/tuberculosis screening.
  • VUNO: South Korean medical AI company with chest X-ray products (VUNO Med-Chest X-ray) and other diagnostic algorithms. Comparable CXR AI competitor with regulatory clearances in multiple markets.
  • Delft Imaging: Netherlands-based health technology company providing AI-enabled chest X-ray solutions, particularly for tuberculosis screening in low- and middle-income countries. Comparable in CXR AI and public health deployments.
  • Zebra Medical Vision (now Nanox.AI): Imaging AI platform acquired by Nanox, offering AI algorithms for chest, CT, and mammography across enterprise health systems. Competitor in multi-modality radiology AI for hospitals and radiology groups.

Broad incumbents

  • GE HealthCare: Global imaging equipment and enterprise PACS vendor embedding AI into CT, X-ray, and Edison platform. Competes with Annalise.ai via bundled AI and procurement incumbency in large hospital systems.
  • Philips: Provides enterprise imaging, PACS, and IntelliSpace AI platform with embedded radiology AI tools. Incumbent imaging vendor that increasingly bundles AI capabilities, competing with Annalise.ai for hospital budgets.
  • Siemens Healthineers: Operates AI-Rad Companion and syngo.via platforms offering AI-augmented radiology across modalities. Broad incumbent that competes with Annalise.ai by integrating AI into installed imaging bases.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

Annalise.ai social profiles

Digital presence

Annalise.ai financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Annalise.ai leadership team

Management profile

Number of profiles

Profiles3 records

Annalise.ai funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Annalise.ai M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Annalise.ai

What does Annalise.ai do?

Annalise.ai develops and licenses AI diagnostic software for chest X-ray interpretation, identifying emergent, incidental, and lung-cancer-related findings to support radiologist triage and worklist prioritization. The platform is deployed across NHS England trusts and other healthcare institutions globally, processing millions of chest X-rays annually. It operates as part of the consolidated Harrison.ai Radiology brand, which unifies radiology AI offerings under a single portfolio.

Is Annalise.ai a public or private company?

Annalise.ai is a private company. It is classified as venture growth investor backed and is currently operating.

When was Annalise.ai founded?

Annalise.ai was founded in 2019. It employs 251 to 500 people.

Where is Annalise.ai based?

Annalise.ai is headquartered in Sydney, Australia, in the Oceania region.

How does Annalise.ai make money?

One revenue line is on record: AI Diagnostic Software Licensing.

Who are Annalise.ai's main competitors?

Direct peers on record are Qure.ai, Lunit, Aidoc, Oxipit, VUNO, Delft Imaging and Zebra Medical Vision (now Nanox.AI). Broad incumbents are GE HealthCare, Philips and Siemens Healthineers.

Does Annalise.ai have an API?

No public API is recorded for Annalise.ai.

What industry is Annalise.ai in?

Annalise.ai's product category is Medical Imaging AI / Radiology Diagnostics. Its primary akta.pro industry code is HLAHABAJ, Radiology AI, CAD & Advanced Visualization Software, with a secondary code of HDAAAEAH, Medical Imaging AI. Its NAICS code is 5132 and its SIC code is 2835.

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Live signals
MorningstarAI Portable Chest X-ray Triage Device Market to Reach USD 900 Million by 2036, Driven by TB Screening Expansion and AI-Powered Point-of-Care DiagnosticsFuture Market Insights has published a market research report projecting the global AI portable chest X-ray triage device market to grow from USD 280 million in 2026 to USD 900 million by 2036, representing a CAGR of 12.4% and generating an incremental opportunity of USD 620 million over the forecast period. The report identifies handheld systems as the leading product segment at 44% market share and tuberculosis screening as the dominant AI application at 38%, driven by government and donor-funded screening programs, radiologist shortages, and demand for decentralized diagnostics. Key growth markets include India (14.8%), Nigeria (14.2%), and South Africa (13.7%), while the competitive landscape features companies including Qure.ai, Lunit, VUNO, Annalise.ai, Aidoc, Delft Imaging, and Oxipit.BBCCancer caught quickly after AI used by Royal Surrey NHS TrustThe Royal Surrey NHS Foundation Trust has implemented an AI tool by Annalise.ai to accelerate the detection of lung cancer, successfully identifying a patient's Stage 1 diagnosis within hours. This technology prioritizes X-ray reviews for urgent anomalies, marking a significant operational improvement in diagnostic speed and accuracy for the trust. The system is currently deployed across five trusts within the Surrey, Sussex and Frimley Imaging Network.GlobeNewswirePhilips optimizes CT workflows with in-house AI, launches CT 5300 in North America at #RSNA2024Philips debuted its CT 5300 system in North America at RSNA 2024, featuring AI-driven CT Smart Workflow and Advanced Visualization Workspace. The system includes Precise Position, Cardiac, and Brain tools, and a pilot with Annalise.ai to evaluate triage for time-sensitive cases.GlobeNewswirePhilips optimizes CT workflows with in-house AI, launches CT 5300 in North America at #RSNA2024Philips debuted its CT 5300 system in North America at RSNA 2024, featuring AI-driven CT Smart Workflow and Advanced Visualization Workspace. The system includes Precise Position, Cardiac, and Brain tools, and a pilot with Annalise.ai to evaluate triage for time-sensitive cases.PhilipsPhilips optimizes CT workflows with in-house AI, launches CT 5300 in North America at #RSNA2024Royal Philips launched its CT 5300 system in North America at RSNA 2024, integrating in-house AI and smart workflow automation to enhance diagnostic efficiency and accessibility. The company also announced a pilot collaboration with Annalise.ai to evaluate the feasibility of using critical care AI for triaging time-sensitive cases like traumatic brain injury.ReedsmithMedicare percentage of costs reimbursement approved (temporarily) for AI software triage tool used in radiologyThe Centers for Medicare & Medicaid Services (CMS) approved a temporary reimbursement rate of $241.39 per case for Annalise.ai's AI triage software in the final fiscal year 2025 Medicare Hospital Inpatient Prospective Payment Systems rule. This payment, capped at 65% of the technology's average cost, is provided through New Technology Add-on Payments to support the adoption of the tool for detecting obstructive hydrocephalus. The approval follows previous FDA breakthrough designation for the device.PR NewswireBreakthrough radiology AI provider annalise.ai appoints proven global healthcare leader as CEO, officially launches US team following FDA clearancesAnnalise.ai, a radiology AI company formed as a joint venture between harrison.ai and I-MED Radiology Network, has appointed Lakshmi Gudapakkam as CEO and Dr Rick Abramson as Chief Medical Officer to drive global expansion and US market entry following FDA CADt clearance for its Annalise Enterprise CXR product. The company, whose chest X-ray AI solution is already in clinical use at over 400 sites in Australia and the UK, aims to help one million patients every day with its comprehensive radiology AI platform. Both new executives will be based in the United States, where the company is establishing its first dedicated team.