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PROCUREMENT OPPORTUNITY

VEAT Notice for Mobile EEG

University Of Edinburgh · award, contract

Tender information last checkedLast checked 4 Oct 2026, 18:26.

Opportunity overview

The University of Edinburgh is intending to award a contract without prior publication for a mobile EEG system to Ant Neuro UK due to competition being absent for technical reasons.

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.

ANT Neuro UK

Match pending…
Contract value
£82.5k
Awarded
Not supplied
Contract signed
23 Feb 2026
Award ID
016965-2026-1
Status
active
Location
Stevenage, UK, SG1 3QP, United Kingdom

Classification

  • CPV38000000 — Laboratory, optical and precision equipments (excl. glasses)

Lots

  • The University of Edinburgh is intending to award a contract without prior publication for a mobile EEG system to Ant Neuro UK due to competition being absent for technical reasons. 1. High-Density EEG Capability (128 Channels Minimum) · Minimum of 128 recording channels · Uniform high-density scalp coverage · Research-grade signal quality suitable for: o Spatial filtering o Source localisation o Fine-grained analysis of cortical dynamics · Stable impedance control across all electrodes · Low-noise amplification appropriate for high-resolution modelling 2. Fully Mobile, Research-Grade System for Immersive VR The research design includes naturalistic movement and immersive VR paradigms. The EEG system must therefore be: · Fully mobile and wireless · Lightweight and body-worn (e.g., backpack-mounted amplifier) · Compatible with VR head-mounted displays (HMDs) without interfering with: o Headset fit o Participant comfort o Range of motion · Resistant to motion-induced artefacts · Designed with low-profile electrodes and integrated wiring · Mechanically stable during head and body movement 3. Precise Synchronisation with VR Systems The system must support robust and low-latency synchronisation between EEG data and VR events. Required features include: · Hardware-level synchronisation (e.g., TTL triggers) · Network-based synchronisation (e.g., Lab Streaming Layer – LSL) · Millisecond-level timing precision · Reliable integration with VR software platforms 4. Medical-Grade Certification Given the potential progression of this research toward clinical translation, the EEG system must: · Hold valid medical CE certification · Comply with applicable medical device regulatory standards · Be suitable for future clinical research use without requiring hardware replacementValue not stated

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-065c39
Status
complete
Main Procurement Category
goods
Procurement Method
limited
Procurement Method Details
Award procedure without prior publication of a call for competition
Why this procedure was chosen
The University of Edinburgh is awarding this contract without prior publication due to a lack of competition, as only one supplier can meet the specifications described in this notice.

Legal basis

Id
32014L0024
Scheme
CELEX

Classification

Scheme
CPV
Id
38000000
Description
Laboratory, optical and precision equipments (excl. glasses)

Covered By

GPA

Procedure reasons

Entry 1
Scheme
TED_PT_AWARD_CONTRACT_WITHOUT_CALL
Id
D_OUTSIDE_SCOPE
Description
The procurement falls outside the scope of application of the directive

Lots and requirements

Entry 1
Id
1
Description
The University of Edinburgh is intending to award a contract without prior publication for a mobile EEG system to Ant Neuro UK due to competition being absent for technical reasons. 1. High-Density EEG Capability (128 Channels Minimum) · Minimum of 128 recording channels · Uniform high-density scalp coverage · Research-grade signal quality suitable for: o Spatial filtering o Source localisation o Fine-grained analysis of cortical dynamics · Stable impedance control across all electrodes · Low-noise amplification appropriate for high-resolution modelling 2. Fully Mobile, Research-Grade System for Immersive VR The research design includes naturalistic movement and immersive VR paradigms. The EEG system must therefore be: · Fully mobile and wireless · Lightweight and body-worn (e.g., backpack-mounted amplifier) · Compatible with VR head-mounted displays (HMDs) without interfering with: o Headset fit o Participant comfort o Range of motion · Resistant to motion-induced artefacts · Designed with low-profile electrodes and integrated wiring · Mechanically stable during head and body movement 3. Precise Synchronisation with VR Systems The system must support robust and low-latency synchronisation between EEG data and VR events. Required features include: · Hardware-level synchronisation (e.g., TTL triggers) · Network-based synchronisation (e.g., Lab Streaming Layer – LSL) · Millisecond-level timing precision · Reliable integration with VR software platforms 4. Medical-Grade Certification Given the potential progression of this research toward clinical translation, the EEG system must: · Hold valid medical CE certification · Comply with applicable medical device regulatory standards · Be suitable for future clinical research use without requiring hardware replacement
Has Options
No

Items and delivery

Item 1
Id
1
Related Lot
1

Delivery locations

Entry 1
Region
UKM75

Delivery Location

Description
University of Edinburgh

Buyer, suppliers and contacts

Organisation 1
Name
University Of Edinburgh
Id
GB-FTS-2023

Identifier

Legal Name
University Of Edinburgh

Address

Street Address
Charles Stewart House, 9-16 Chambers Street
Locality
Edinburgh
Region
UKM75
Postal Code
EH1 1HT
Country Name
United Kingdom

Contact

Telephone
+44 1316502759

Roles

buyer

Details

Classifications

Entry 1
Scheme
TED_CA_TYPE
Id
BODY_PUBLIC
Description
Body governed by public law
Entry 2
Scheme
COFOG
Id
09
Description
Education
Organisation 2
Name
ANT Neuro UK
Id
GB-FTS-175417

Identifier

Legal Name
ANT Neuro UK

Address

Street Address
Richmond House, Walkern Road
Locality
Stevenage
Region
UK
Postal Code
SG1 3QP
Country Name
United Kingdom

Contact

Telephone
+44 2078594914

Roles

supplier

Details

Scale
sme
Organisation 3
Name
Edinburgh Sherriff Court
Id
GB-FTS-21538

Identifier

Legal Name
Edinburgh Sherriff Court

Address

Locality
Edinburgh
Country Name
United Kingdom

Roles

reviewBody

Award information

Award 1
Id
016965-2026-1
Status
active

Related lots

1

Suppliers

Supplier 1
Id
GB-FTS-175417
Name
ANT Neuro UK

Contracts and changes

Entry 1
Id
016965-2026-1
Award ID
016965-2026-1
Status
active
Date Signed
23 Feb 2026, 00:00

Value

Amount
82,521
Currency
GBP

Recorded locations

  • Buyer location · Edinburgh · UKM75 · EH1 1HT · United Kingdom
  • Delivery location · UKM75

Notice and amendment history

1 published notice version reviewed by ProcuraAxis.

1 VERSION
  1. 016965-2026award, contract ·