JamiQ

JamiQ is a Singapore-based social media monitoring company established in September 2008 by Kelvin Quee, Lee Jia Yi, and Benjamin Koe. The company was initially incubated with NTU Ventures and developed software for tracking, interpreting, and measuring online conversations. Its technology combines search engines, application programming interfaces, RSS feeds, and web crawlers to collect information from social media and other online sources in near real time. The central capability of JamiQ’s platform is automated interpretation of language and sentiment. Its algorithms analyze words, phrases, and sentences to infer whether online discussion expresses positive or negative opinions. The platform also supports buzz-trend analysis, sentiment detection, influence scoring, and market segmentation. A key point of differentiation was its emphasis on local-language and Asian-market coverage. Whereas many competing services based in the United States were described as having limited support for local markets and languages, JamiQ positioned its technology as suitable for multilingual regions and for markets where online discussion is distributed across different platforms and languages. JamiQ’s flagship offering was JamiQ Social Media Monitoring, an automated and localized monitoring and measurement solution. The service was designed to help organizations follow brand and market conversations, identify emerging topics, assess public sentiment, and understand the influence and location of online sources. Its technology could determine the likely location of a blog or website even when the site itself was not hosted in the relevant market, supporting analysis of geographically dispersed online discussion. The company also participated in ReputationWatch, a reputation-management service developed with Singapore telecommunications company SingTel. ReputationWatch was aimed at small and medium-sized businesses and delivered email alerts about relevant conversations appearing on blogs, forums, social networks, microblogs, and other websites. It was made available through SingTel’s myBusiness Cloud Computing portal in Singapore and used JamiQ’s underlying monitoring technology. JamiQ’s technology was additionally used in public-information and data-visualization initiatives. For the 2011 Singapore general election, JamiQ collaborated with Swarm on a tracker that visualized frequently mentioned keywords, trending online topics, and widely shared articles. The project aggregated information from Google and Twitter as well as news articles and blog posts, illustrating how JamiQ’s monitoring capabilities could be applied beyond commercial brand management. Publicly available reference material provides limited information about the company’s later ownership, leadership, financial performance, product continuity, or current operating status; those aspects therefore remain unverified.

JamiQ was founded in Singapore in September 2008 by Kelvin Quee, Lee Jia Yi, and Benjamin Koe. In its early stage, the company was incubated with NTU Ventures, linking its development to Singapore’s university and technology-startup ecosystem. JamiQ focused on a growing business problem: organizations needed to understand what customers, citizens, and other stakeholders were saying across blogs, forums, social networks, microblogs, and online news sources. The company built software that gathered online material through a combination of search engines, APIs, RSS feeds, and web crawlers. Rather than merely collecting mentions, the system was intended to interpret them. Natural-language-processing and data-mining methods were used to examine words, phrases, and sentences, assign positive or negative values, and infer the sentiment of a discussion. The platform also supported real-time buzz tracking, identification of trending subjects, influence scoring, and segmentation of markets or audiences. JamiQ emphasized localization as a core competitive characteristic. Its stated focus was Asian social media and multilingual markets, where important conversations may occur in languages or on platforms that are not well covered by services designed primarily for English-language or US-based audiences. The company’s algorithms were also described as capable of estimating the location of a blog or website even if the site was hosted outside the market being analyzed. This helped frame JamiQ as a social intelligence provider for geographically and linguistically complex markets rather than only as a general-purpose monitoring tool. The company’s principal offering was JamiQ Social Media Monitoring. The service provided automated and localized measurement of online conversation in multiple languages. Organizations could use it to follow brand mentions, monitor emerging topics, evaluate sentiment, identify influential sources, and compare activity across markets. JamiQ’s technology was also adapted for smaller businesses through ReputationWatch, a collaboration with Singapore telecommunications operator SingTel. Offered on SingTel’s myBusiness Cloud Computing portal in Singapore, ReputationWatch delivered email alerts about relevant online conversations and applied JamiQ’s monitoring capabilities to reputation management. JamiQ’s tools were used in a civic and media-visualization project during the 2011 Singapore general election. In collaboration with Swarm, the company supported a tracker that displayed prominent keywords, trending issues, and highly shared articles. The tracker combined Google and Twitter information with news and blog content, demonstrating an application of social monitoring to public discussion and election-related information rather than only to corporate marketing. The available reference material documents JamiQ’s founding, technology, products, partnership activity, and election-tracking implementation but does not establish its subsequent corporate ownership, financial results, current executives, continued product availability, or present-day operating status. JamiQ is therefore recorded here as a Singapore-founded private company with an unverified current status.

• 2011

  Singapore General Elections 2011 Tracker

  [1]JamiQen.wikipedia.org

  JamiQ and Swarm collaborated on a visualization project that tracked online election discussion, including frequently mentioned keywords, trending topics, and shared articles.

• 2008

  JamiQ founded in Singapore

  [1]JamiQen.wikipedia.org

  Kelvin Quee, Lee Jia Yi, and Benjamin Koe founded JamiQ in September 2008. The company was initially incubated with NTU Ventures.

A localized, multilingual social listening and online reputation intelligence provider with particular emphasis on Asian markets and fragmented local-language media.

• Social media monitoring and analytics

  JamiQ Social Media Monitoring

  JamiQ’s flagship monitoring and measurement platform collected online material through search engines, APIs, RSS feeds, and web crawlers. It applied data-mining and natural-language-processing techniques to identify real-time buzz, infer positive or negative sentiment, score influence, and segment markets or audiences. The service was designed for multilingual and localized use, with particular attention to Asian social media and markets where online conversations are distributed across local languages and platforms. Its geographic analysis could estimate the location associated with a blog or website even when the site was hosted elsewhere.

• Online reputation management

  ReputationWatch

  ReputationWatch was a reputation-management service developed by JamiQ in collaboration with SingTel for small and medium-sized businesses. It used JamiQ’s monitoring technology to identify relevant conversations about a business or brand across blogs, forums, social networks, microblogs, and other websites. Users received email alerts about new and locally relevant discussions. The service was made available in Singapore through SingTel’s myBusiness Cloud Computing portal.

• 2011Singapore General Elections 2011 Tracker

  Singapore

  JamiQ worked with Swarm on a data-visualization tracker for online discussion around Singapore’s 2011 general election. It presented prominent keywords, trending topics, and the most shared articles using information aggregated from Google, Twitter, news articles, and blog posts.

  Outcome. The project provided a visual way to follow election-related online conversation and demonstrated the use of JamiQ’s monitoring technology in a public-information context.

  Source

1. 1JamiQen.wikipedia.org
2. 2JamiQ official websitejamiq.com