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Company number 10567864
Company profile
UK company 10567864, incorporated on 17 January 2017.
Text Analytics for every insight professional | Wordnerds
Get more from your front line voice of customer tools without the extra time and effort to genuinely understand what customers are telling you.
Company number 10567864
Updated 07 Jul 2026 09:49
Financial period: 1 Sep 2023 to 31 Aug 2024
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1 Aug 2024 to 31 Jan 2026
This project will create a new kind of AI, representing a leap forward in customer service, in data-driven decision-making, and in the lives of often-vulnerable customers. Turning feedback into action is a challenging, multifaceted internal process. Change management presents multiple challenges to internal processes. 1/3 business leaders don't trust the ...
1 May 2024 to 28 Feb 2025
This project brings four strands of innovation together to create a new Wordnerds product, allowing us to solve specific challenges for verticals while scaling beyond them: 1. AI - Testing, benchmarking and applying the best LLM technology to pre-train models bespoke to individual sectors 2. Software engineering - Building a user interface that supports a...
1 Apr 2024 to 30 Nov 2024
The transport sector faces significant challenges in understanding their passengers. Across rail, bus and metro, providers are required to perform a broader set of tasks with passenger feedback than ever before. * The consumer landscape in public transport is in a state of flux. COVID, industrial action and the possible impact of GBR are regularly changin...
1 Aug 2023 to 31 Jan 2024
Alchera, in partnership with Wordnerds seek to explore collaboration of the most valuable qualitative and quantitative AI analytics in the field of transport, focused on taking action and improving peoples' lives. In this project, Alchera and Wordnerds will unlock data-driven decision making to support Local Authority businesses in planning, assessing and...
1 Apr 2023 to 30 Jun 2023
Wordnerds is a SaaS platform offering a unique approach to text analytics, used by large organisations to derive value from their Voice of Customer programmes. We have attracted high profile customers across the retail, transport and housing sectors through our USP of 'context themes': allowing users to train their own AI-based categories on meaning rathe...