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Company profile

Pulseai Ltd

PulseAI

Pulseai Ltd is a UK company with status active founded in 2019 based in Northern Ireland.

CRN
NI666311
Founded
2019
Age
6

Overview

Legal name
PULSEAI LTD
Region
Northern Ireland
Registered address
58 HOWARD STREET
BELFAST
NORTHERN IRELAND
BT1 6PL
Insolvency history
No

Company events

Reference milestones and recent Companies House filing stream events.

7 events
30 Sep
2026

Accounts due

Accounts Due

Next accounts due date

20 Sep
2026

Confirmation statement due

Confirmation Due

Next confirmation statement due date

06 Sep
2025

Confirmation statement filed

Confirmation

Last confirmation statement made up date

31 Dec
2024

Accounts filed

Accounts

Last accounts made up date

15 Oct
2024

Confirmation Statement With No Updates

Confirmation-statement

CS01 | Transaction MzQzOTYwNTQ4M2FkaXF6a2N4

Published 15 Oct 2024 03:05

16 Sep
2024

Accounts Amended With Accounts Type Micro Entity

Accounts Awaiting analysis

AAMD | Transaction MzQzNTk5MjM5NWFkaXF6a2N4

Published 16 Sep 2024 10:48

04 Dec
2019

Incorporated

Inception

Company registered at Companies House

Public funding

2 awards
First funded
2022
Funded years
2022, 2025
Age at first award
2 years

Projects

2025 Grant for R&D Lead participant

Pulse12L: A cloud platform for ECG interpretation

1 Apr 2025 to 31 Mar 2026

Awarded
£98,707
Total cost £98,707

This project leverages AI to provide more precise, swift, and comprehensive interpretations of ECG data, surpassing the limitations of traditional methods. By intricately analysing ECG readings, Pulse12L aims to detect subtle cardiac irregularities that might be overlooked by standard analysis, thus assisting in early detection and intervention of heart c...

2022 Grant for R&D Lead participant

Remote assessment of Mental Health Patients for Cardiac Safety using Smartwatch ECG

1 Nov 2022 to 30 Apr 2023

Awarded
£49,793
Total cost £49,793

This machine learning project uses deep neural networks to investigate historical ECG databases containing more than 1 million patients to develop new methods of assessing cardiac risk in mental health patients from smartwatch ECG data. It aims to establish new ECG features that improve the prediction of arrhythmias due to drug interactions and builds on ...

Product types

Grant for R&D