Company profile
Data Analytics Consulting Firm: Big Data Consultants | Triangle
Turn your data from an obstacle into an opportunity with Triangle. We help enterprises maximise the ROI of their data investments & streamline operations. Find out more here.
Updated 07 Jul 2026 09:49
Reference milestones and recent Companies House filing stream events.
Next confirmation statement due date
Next accounts due date
TM01 | Transaction MzUxMjc2NjYyMGFkaXF6a2N4
Published 26 Mar 2026 12:42
Last confirmation statement made up date
Last accounts made up date
AD01 | Transaction MzQzNzkyMzEzNWFkaXF6a2N4
Published 30 Oct 2024 09:58
Company registered at Companies House
1 Dec 2023 to 31 May 2024
1 Aug 2022 to 31 Jan 2023
1 Apr 2021 to 31 Dec 2021
The UK fashion and textile industry contributes \>£32bn pa to the UK economy, yet it is an industry facing significant challenges. Consumer demands on the industry -- from fast fashion at competitive prices to manufacturing of luxury, high quality products, there is a need to ensure sustainability and ethical practices as well as address the needs of mult...
1 Jul 2019 to 31 Mar 2022
This project brings innovative and disruptive technologies together from IBM, Rothamsted Research, The University of Sheffield, 2Excel, STFC-Hartree Centre and Syngenta to transform the crop management market with blackgrass as its first use case. Blackgrass is a weed costing farmers more than £0.58bn/year, however data, management strategies and expertis...
1 Apr 2018 to 31 Mar 2021
To implement model-based & machine learning methods & tools which enable transformation from Financial and Operational Performance Management spreadsheets into Cognitive models and provide guidance for consultants working with spreadsheets and Cognitive models in solving their clients’ problems.
1 Dec 2017 to 28 Feb 2019
The rail industry is growing fast but passenger experience within stations is often poor, particularly for the disadvantaged. But, without engaging passengers to innovate and develop solutions, the track record of success are low. The project, led by Milne Research with Costain, IBM and Institute for Manufacturing, aims to solve this problem by developing...
