Company Active LTD

Company profile

Dscience Ltd

Dscience Ltd is a UK company with status active founded in 2007.

CRN
06395209
Founded
2007
Age
18

Overview

Legal name
DSCIENCE LTD
Region
Unknown
Registered address
MOSELEY EXCHANGE
149-153 ALCESTER ROAD
BIRMINGHAM
ENGLAND
B13 8JP
Insolvency history
No

Latest accounts

Financial period: 1 Jan 2024 to 31 Dec 2024

FILLETEDACCOUNTS
Turnover
Unknown
Profit / Loss
Unknown
Employees
7

Company events

Reference milestones and recent Companies House filing stream events.

7 events
30 Sep
2026

Accounts due

Accounts Due

Next accounts due date

24 Aug
2026

Confirmation statement due

Confirmation Due

Next confirmation statement due date

10 Aug
2025

Confirmation statement filed

Confirmation

Last confirmation statement made up date

31 Dec
2024

Accounts filed

Accounts

Last accounts made up date

06 Sep
2024

Accounts With Accounts Type Total Exemption Full

Accounts Analysed

AA | Transaction MzQzNDgwMTM2NGFkaXF6a2N4

Published 06 Sep 2024 17:03

23 Aug
2024

Confirmation Statement With No Updates

Confirmation-statement

CS01 | Transaction MzQzMzI3MjIxNWFkaXF6a2N4

Published 24 Aug 2024 03:06

10 Oct
2007

Incorporated

Inception

Company registered at Companies House

Public funding

3 awards
First funded
2020
Funded years
2020, 2022, 2025
Age at first award
12 years

Projects

2025 Feasibility Studies

Foundation Source Model (FoSMo)

1 Oct 2025 to 31 Dec 2025

Awarded
£106,544
Total cost £118,382

The UK electricity network stands to gain significant advantages from deep learning-based computer vision models for asset management; reduced analysis and data collection costs, improved output quality, lower lifecycle costs from consistent assessments and better predictive models. Independent development of these models by individual networks is costly,...

2022 Collaborative R&D

Atypical Airspace BVLOS Solution (AABS)

1 Apr 2022 to 30 Sep 2023

Awarded
£32,840
Total cost £46,915

Autonomous flight is a general purpose technology with enormous commercial potential. As a result a lot of resources are being put into solving for Logistics and Advanced Air Mobility (AAM). We want to provide these companies with the world's most advanced solution for autonomous unmanned flight and we took the first steps in FFP2\. In FFP2 the consortium...

2020 Study Lead participant

Detecting the presence of invasive plant species: More quickly, cheaply and safely using AI and machine vision

1 May 2020 to 28 Feb 2021

Awarded
£66,530
Total cost £95,043

Invasive Non-Native Species (INNS) are organisms introduced into areas outside their native region where they then threaten ecosystems. They are regarded as one of the top five threats to biodiversity worldwide (IPBES, 2019), as well as having significant economic impacts, with companies in various sectors such as transport and utilities spending consider...

Product types

Collaborative R&D Feasibility Studies Study