Submission declined on 15 December 2025 by MCE89 (talk).
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| Submission declined on 10 December 2025 by Pythoncoder (talk). Your draft shows signs of having been generated by a large language model, such as ChatGPT. Wikipedia guidelines prohibit the use of LLMs to write articles from scratch. In addition, LLM-generated articles usually have multiple quality issues, to include: Declined by Pythoncoder 9 days ago.
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| Submission declined on 30 October 2025 by Pythoncoder (talk). Your draft shows signs of having been generated by a large language model, such as ChatGPT. Wikipedia guidelines prohibit the use of LLMs to write articles from scratch. In addition, LLM-generated articles usually have multiple quality issues, to include: Declined by Pythoncoder 50 days ago.
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Comment: Updated since the decline on 10 December. Wording tightened with specific attention to accurate sourcing. Key sources used in this draft are:
* Gartner (2022) independent analyst report evaluating the company's indoor positioning approach (sensor fusion, no fingerprinting). Note: Gartner is paywalled, a short excerpt is included in the citation for verification.
* Pollstar (2018) industry feature on use of the software in events.
* BBC News (2020) report describing the company's approach to tracking fan movement in stadiums, including explicit user permission.
* Alan Turing Institute CETaS (2023) report mentioning the company's mesh beacons and footfall analysis.
Comment: Are you able to point out the WP:THREE for notability? You can do so in a comment here or on the talk page. Ping me when you do and I will come back and review. At the moment, I do not see anything that meets WP:CORPDEPTH. CNMall41 (talk) 04:50, 21 October 2025 (UTC)
Comment: Updated since the decline on 10 December. Wording tightened with specific attention to accurate sourcing. Key sources used in this draft are:
* Gartner (2022) independent analyst report evaluating the company's indoor positioning approach (sensor fusion, no fingerprinting). Note: Gartner is paywalled, a short excerpt is included in the citation for verification.
* Pollstar (2018) industry feature on use of the software in events.
* BBC News (2020) report describing the company's approach to tracking fan movement in stadiums, including explicit user permission.
* Alan Turing Institute CETaS (2023) report mentioning the company's mesh beacons and footfall analysis.
| This is a draft article. It is a work in progress open to editing by anyone. Please ensure core content policies are met before publishing it as a live Wikipedia article. Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL Last edited by MCE89 (talk | contribs) 4 days ago. (Update)
Finished drafting? |
| Company type | Private |
|---|---|
| Website | www |
Crowd Connected is a British technology company that develops indoor positioning and location analytics software.[1] Gartner has described typical customers as exhibitions and tradeshows, large shopping sites, hospitals and museums.[1] Use of the company's software for tracking and analysing attendee movement has been reported at festivals and in stadiums.[2][3]
History
editCrowd Connected was founded by James Cobb and incorporated in 2013.[4][5] In 2014, the company received a £25,000 grant from Innovate UK and tested its location analytics software at Wireless Festival.[6] In 2025, the UK Fast Growth Index listed Crowd Connected in its Fastest-growing technology and digital firms list.[7]
Technology
editThe company's location analytics software uses data from code that runs in an event's or venue's official app in the background. It locates mobile devices using multiple methods including GPS, Wi-Fi and signals between mobile devices.[2] A 2022 report by Gartner noted that the company's positioning engine omits the need to perform "fingerprinting" and that no other calibration is needed.[1]
In 2020, during the COVID-19 pandemic, BBC News reported that the company works with sporting bodies and described its method for tracking fan movement as a way to support social distancing in stadiums, noting that its tracking features require users' explicit permission.[3]
A 2023 CETaS report from The Alan Turing Institute cited Crowd Connected as an example of commercial crowd behaviour analysis and occupancy solutions, noting that it installs low-cost mesh beacons with coverage of 25,000 m2 which can track occupants accurately to a few metres and provide footfall analysis.[8]
References
edit- ^ a b c Zimmermann, Annette; Jones, Nick; Ray, Bill; Zimmerman, Tim (13 May 2022). Cool Vendors in Indoor Location Technologies and Sensors (Report). Gartner. pp. 3–5. G00755622.
Crowd Connected offers an indoor positioning platform providing wayfinding, location analytics and mobile engagement. Its positioning engine leverages the inertial sensors from a smartphone and on-device application, which omits the need to perform 'fingerprinting' ...
- ^ a b Gottfried, Gideon (25 January 2018). "Crowd Connected: Observing Fan Behavior During Events". Pollstar. Retrieved 13 December 2025.
- ^ a b Wilson, Bill (11 September 2020). "Coronavirus: How technology could keep football fans safe at stadiums". BBC News. Retrieved 13 December 2025.
- ^ "The Crowd Connected success story: From innovative concepts to strategic pivots". Surrey Research Park. 11 December 2023. Retrieved 13 December 2025.
- ^ "CROWD CONNECTED LIMITED overview". Companies House. Retrieved 13 December 2025.
- ^ "Case study: Crowd Connected strikes the right note with music festivals". Innovate UK. 26 November 2015. Retrieved 13 December 2025.
- ^ "Fastest-growing technology and digital firms 2025". Fast Growth 50. December 2025. Retrieved 13 December 2025.
- ^ Behavioural Analytics and UK National Security (PDF) (Report). Centre for Emerging Technology and Security (CETaS), The Alan Turing Institute. March 2023. p. 29. Retrieved 13 December 2025.
External links
editCategory:Indoor positioning system Category:Software companies of the United Kingdom Category:Technology companies established in 2013 Category:Companies based in Surrey

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