Company Active LTD

Company profile

At Technology Services Limited

UK company 10315983, incorporated on 8 August 2016.

Dr iQ | The fastest way to access our GP services.

The fastest, most convenient way to access our GP services. Dr. iQ is developed to give you faster, easier access our surgeries across London.

Company number

10315983

Incorporated

8 Aug 2016

Companies House status

Active

Company identity

Founded / incorporated

8 August 2016

Company number 10315983

Verify at Companies House

Legal name

AT TECHNOLOGY SERVICES LIMITED

Company type

Private Limited Company

Region

South East England

Registered address

108 HIGH STREET

GREAT MISSENDEN

ENGLAND

HP16 0BG

Insolvency history

No

Corporate ownership

Updated 07 Jul 2026 09:49

7 levels 1 ultimate controller

1

Company Active LTD

At Technology Services Limited

CRN 10315983

2

Direct controller Active LLP

At Medics Holdings LLP

CRN OC428198

3

Intermediate controller Active LTD

Operose Health Limited

CRN 10014577

4

Intermediate controller Active LTD

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CRN 15294854

5

Intermediate controller Active LTD

T20 Pioneer Midco Limited

CRN 14266834

6

Intermediate controller Active LTD

T20 Pioneer Holdings Limited

CRN 13758893

7

Intermediate controller Active LTD

Twenty20 Capital Investments Limited

CRN 12576810

8

Ultimate controller Active LTD

Twenty 20 Capital Limited

CRN 11455082

Company events

Reference milestones and recent Companies House filing stream events.

5 events

31 Dec

2026

Accounts due

Accounts Due

Next accounts due date

25 Oct

2026

Confirmation statement due

Confirmation Due

Next confirmation statement due date

11 Oct

2025

Confirmation statement filed

Confirmation

Last confirmation statement made up date

31 Mar

2025

Accounts filed

Accounts

Last accounts made up date

08 Aug

2016

Incorporated

Inception

Company registered at Companies House

Public funding

1 award

First funded

2019

Funded years

2019

Age at first award

3 years

Projects

2019 Knowledge Transfer Partnership

Anglia Ruskin University and AT Technology Services Limited

1 Oct 2019 to 31 Mar 2022

Awarded

Unknown

To apply Artificial Intelligence, particularly Machine Learning, Fusion and Optimisation algorithms to existing Business Intelligence platform to enhance efficiency and productivity in patient health management. This will help extract knowledge from data to detect critical trends.

Product types

Knowledge Transfer Partnership