Company profile
Faradai Limited
Faradai - The First Integrated Energy & Sustainability Intelligence Platform
Faradai Limited is a UK company with status active founded in 2022 based in London.
Latest accounts
Financial period: 1 Feb 2024 to 31 Jan 2025
Company events
Reference milestones and recent Companies House filing stream events.
Accounts due
Accounts DueNext accounts due date
Confirmation statement due
Confirmation DueNext confirmation statement due date
Confirmation statement filed
ConfirmationLast confirmation statement made up date
Accounts filed
AccountsLast accounts made up date
Accounts With Accounts Type Unaudited Abridged
Accounts AnalysedAA | Transaction MzQzODcwNjA1MWFkaXF6a2N4
Published 08 Oct 2024 08:59
Confirmation Statement With Updates
Confirmation-statementCS01 | Transaction MzQzNDUwMzMwN2FkaXF6a2N4
Published 04 Sep 2024 14:43
Confirmation Statement With No Updates
Confirmation-statementCS01 | Transaction MzQzMzQ4MzY4MmFkaXF6a2N4
Published 27 Aug 2024 15:20
Incorporated
InceptionCompany registered at Companies House
Public funding
Projects
Carbon Footprint Management Platform for Manufacturing Industry (MANUFACTURE CARBONIQ)
1 Jan 2025 to 30 Jun 2027
Decarbonization Project Management Platform for Industries and Businesses (DECARBiz)
1 Jan 2025 to 31 Dec 2026
DECODE Corby
1 Jan 2024 to 28 Feb 2025
DECODE-CORBY aims to revolutionise the steel and manufacturing community in Corby, Northamptonshire. The UK's biggest steelmaker, TataSteel, has a 150-acre site in Corby, and the town is a crucial hub for producing and transporting essential goods for the UK. However, Corby faces a significant challenge due to its strong manufacturing sector. Carbon emiss...
Net-Zero Energy Navigation Platform for Energy Intensive Facilities
1 Nov 2022 to 30 Apr 2023
The Trace4Zero Project aims to develop a data-driven energy management system for supporting facilities to reduce their energy consumption and related carbon emission under Scope 2\. Facility energy managers will be able to analyse specific energy consumption and detect anomalies using condition-based monitoring in this context. Furthermore, the proposed ...