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Company profile

Winnow Solutions Limited

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CRN
08551367
Founded
2013
Age
13

Overview

Legal name
WINNOW SOLUTIONS LIMITED
Region
London
Registered address
5 BAKERS ROW
LONDON
ENGLAND
EC1R 3DF
Insolvency history
No

Corporate ownership

Updated 06 Jun 2026 16:52

1 level 1 ultimate controller
1
Company Active LTD
Winnow Solutions Limited
CRN 08551367
2
Direct and ultimate controller Active LTD

Company events

Reference milestones and recent Companies House filing stream events.

7 events
28 Feb
2027

Accounts due

Accounts Due

Next accounts due date

14 Jun
2026

Confirmation statement due

Confirmation Due

Next confirmation statement due date

31 May
2025

Confirmation statement filed

Confirmation

Last confirmation statement made up date

31 May
2025

Accounts filed

Accounts

Last accounts made up date

17 Nov
2024

Legacy

Other

GUARANTEE2 | Transaction MzQ0MzY1NjYyMWFkaXF6a2N4 | Paper/PDF filed

Published 22 Nov 2024 01:51

03 Nov
2024

Legacy

Other

AGREEMENT2 | Transaction MzQ0MTgzMjgyM2FkaXF6a2N4 | Paper/PDF filed

Published 07 Nov 2024 07:14

31 May
2013

Incorporated

Inception

Company registered at Companies House

Public funding

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

Projects

2022 Collaborative R&D Lead participant

Optimising food production in commercial kitchens through machine learning, reducing waste and increasing profits

1 Oct 2022 to 29 Feb 2024

Awarded
£258,221
Total cost £435,448

The global hospitality industry, particularly buffet style environments, still lacks a tool to accurately help predict how much food to produce, and when. This results in interconnected economic and environmental challenges. Overproduction of food leads to vast financial and economic costs. In the UK Hospitality and Food Service Sector alone, food waste c...

2020 Collaborative R&D Lead participant

Machine learning to help the hospitality industry recover through optimised food production

1 Oct 2020 to 30 Jun 2021

Awarded
£160,022
Total cost £200,027

The global hospitality industry does not have a tool that can accurately help it predict how much food to produce, and when. This results in both economic and environmental challenges. Overproduction of food leads to vast costs; in the UK Hospitality and Food Service Sector, food waste was estimated at over £2.5bn in 2011, with 75% of it recorded as avoid...

2020 Feasibility Studies Lead participant

Machine learning & image recognition to reduce post-consumer food waste and identify contamination of food waste by non food items

1 Jun 2020 to 30 Nov 2020

Awarded
£41,161
Total cost £41,161

no public description

2020 Study Lead participant

Machine learning & image recognition to reduce post-consumer food waste and identify contamination of food waste by non food items

1 Jan 2020 to 31 Dec 2020

Awarded
£77,178
Total cost £142,922

The global hospitality industry has two significant environmental and economic challenges which are not currently being met. Firstly, $34bn worth of food waste happens every year from post-consumer food waste ("plate waste"). There is currently no easy way to automatically measure and analyse plate waste so that chefs can make data led interventions to re...

Product types

Collaborative R&D Feasibility Studies Study