Home / Opportunities / Opportunity
PROCUREMENT OPPORTUNITY

Chest X-Ray Artificial Intelligence Solution and Radiology AI Platform

SOMERSET NHS FOUNDATION TRUST · Transparency notice on Find a Tender

Tender information last checkedLast checked 14 Oct 2026, 14:41.

Opportunity overview

Provision of a chest X-ray AI solution and radiology AI platform, including integration with existing imaging systems, to support clinical interpretation, workflow efficiency and the consolidation of radiology AI applications under a single managed platform and support arrangement.

Awarded to

Amounts belong to published awards or contracts. Where several suppliers share one value, it is labelled as shared and is not a supplier-specific allocation.

Published award value
£194.6k
Awarded
13 Oct 2026
Award ID
1
Status
pending
Identifier
GB-COH 12804340
Location
London, UKI42, EC2M 4AG, United Kingdom

Classification

No classification was supplied.

Lots

  • Lot 1Value not stated

Documents and notices

Published notice details

Additional information from the published procurement release. Fields appear only when supplied by the source; check the original notice and tender documents before acting.

Scope, procedure and submissions

Id
ocds-h6vhtk-078788
Status
complete
Procurement Method
direct
Procurement Method Details
Direct award
Why this procedure was chosen
The Trust engaged with a number of suppliers and reviewed available solution capabilities. Whilst alternative solutions could provide chest X-ray AI functionality, none demonstrated the same combination of integration capability, platform functionality and support for the Trust's future radiology AI strategy. The proposed supplier offers a single platform capable of supporting both current and future AI applications, including potential future brain CT and other radiology AI modules, through a common integration and support model. The solution also aligns with the Trust's existing Philips PACS environment and broader objective of consolidating radiology AI services through a single platform. The Trust therefore considers the supplier uniquely positioned to meet both the current requirement and anticipated future integration, standardisation and scalability requirements.

Legal basis

Id
2023/54
Scheme
UKPGA

Procedure reasons

Entry 1
Id
singleSuppliersTechnicalReasons

Lots and requirements

Entry 1
Id
1
Status
complete

Published documents

Entry 1
Id
conflictOfInterest
Document Type
conflictOfInterest
Description
Not published

Buyer, suppliers and contacts

Organisation 1
Name
SOMERSET NHS FOUNDATION TRUST
Id
GB-NHS-RH5

Identifier

Scheme
GB-NHS
Id
RH5

Additional Identifiers

Entry 1
Scheme
GB-PPON
Id
PNWR-4212-QWHQ

Address

Street Address
Musgrove Park Hospital
Locality
Taunton
Postal Code
TA1 5DA
Country
GB
Country Name
United Kingdom
Region
UKK23

Contact

Roles

buyer

Details

Classifications

Entry 1
Scheme
UK_CA_TYPE
Id
publicAuthorityCentralGovernment
Description
Public authority - central government
Organisation 2
Name
HARRISON-AI MEDICAL UK LTD
Id
GB-COH-12804340

Identifier

Scheme
GB-COH
Id
12804340

Additional Identifiers

Entry 1
Scheme
GB-PPON
Id
PZVZ-2529-HTHG

Address

Street Address
C/O Company Secretarial Department 280 Bishopsgate
Locality
London
Postal Code
EC2M 4AG
Country
GB
Country Name
United Kingdom
Region
UKI42

Contact

Roles

supplier

Details

Scale
sme
Vcse
No

Award information

Award 1
Id
1
Status
pending
Main Procurement Category
services
Above Threshold
Yes
Has Renewal
Yes

Items

Item 1
Id
1
Related Lot
1

Additional Classifications

Entry 1
Scheme
CPV
Id
72250000
Description
System and support services

Delivery locations

Entry 1
Region
UKK2
Country
GB
Country Name
United Kingdom

Value

Including VAT
233,496
Amount
194,580
Currency
GBP

Suppliers

Supplier 1
Id
GB-COH-12804340
Name
HARRISON-AI MEDICAL UK LTD

Contract period

Starts
28 Oct 2026, 00:00
Ends
27 Oct 2028, 23:59
Max Extent Date
27 Oct 2029, 23:59

Renewal

Description
1x12 month extension available.

Related lots

1

Documents

Entry 1
Id
096991-2026
Document Type
awardNotice
Notice Type
UK5
Description
Transparency notice on Find a Tender
Published
14 Oct 2026, 13:03
Format
text/html

Milestones

Entry 1
Id
1
Type
futureSignatureDate
Due
27 Oct 2026, 23:59
Status
scheduled

Recorded locations

  • Buyer location · Taunton · UKK23 · TA1 5DA · United Kingdom

Notice and amendment history

2 published notice versions reviewed by ProcuraAxis.

2 VERSIONS
  1. 096991-2026Transparency notice on Find a Tender ·
  2. 096998-2026Contract award notice on Find a Tender ·

PROCURAAXIS AWARD ANALYSIS

Award outcome intelligence

Evidence-bound analysis of the published award appears below the official tender and award information.

ANALYSIS PREVIEW

Award intelligence at a glance

Somerset NHS Foundation Trust published a direct-award transparency notice for a chest X-ray AI solution and radiology AI platform. The pending award names HARRISON-AI MEDICAL UK LTD and has a stated value of £194,580 excluding VAT (£233,496 including VAT).

Published outcome signals

  • Notice statusPublished transparency notice; procurement record marked completeEvidence: Process display_status is "awarded", source_status is "complete", and the award document is described as "Transparency notice on Find a Tender" published 14 October 2026.
  • Award statusPendingEvidence: Award 1 status is "pending".
  • Signature statusNot evidenced as signedEvidence: A future signature milestone is scheduled for 27 October 2026; no signed-contract field or completed signature milestone is supplied.
96% approved-analysis confidence1 supplier record analysed4 source limitations

SOURCE AND FRESHNESS

Traceable procurement data

Source
Find a Tender
Notice reference
096991-2026
OCID
ocds-h6vhtk-078788
First published
14 Oct 2026
Last checked
14 Oct 2026, 14:41
Notice versions reviewed
2

HOW THIS WAS PREPARED

Approved, evidence-bound analysis

ProcuraAxis structures information found in published procurement records, checks the result for consistency and publishes only approved analysis. Confidence describes the completeness and consistency of the available source information; it is not a guarantee of eligibility or contract award.

Analysis status
Approved for publication
Analysed
14 Oct 2026
Read the analysis methodology →