Farseer
Farseer sells an AI monitoring and decision support platform to banks, listed companies and government bodies, mainly in Hong Kong and mainland China. It tracks news, social media and regulatory updates from more than a million sources in over 75 languages, with native English and Chinese analysis. It covers three areas: reputation management, market insights and public governance.
Risk Radar sends real time sentiment and anomaly alerts by email, WhatsApp, WeChat or the Farseer app. Rapid Decisions uses generative AI to write communications, market insight and issue analysis reports, which Farseer says cuts reporting time by 80 percent. Dashboards and APIs connect to a client's own systems.
Named clients include HSBC Hong Kong, for brand sentiment monitoring, and Xiaomi Group, for monthly investor relations reports. Farseer is based in Hong Kong with offices in Singapore and Chengdu.
Capability Axes
Capability grades
15 of 15 axes rated · 4 graded A or B
Reading news and social media in more than 75 languages, scoring sentiment and writing reports are all model work, and the platform layers language processing, knowledge graphs and generative models to do it.
Client teams decide what to do with the alerts and dashboards. The Rapid Decisions tool, though, writes external communications reports in one click, and no review step before they go out is described.
Alerts arrive in minutes rather than hours, but there's no false positive rate or validation for the sentiment and anomaly detection behind them.
HSBC Hong Kong and Xiaomi Group are named clients, yet their case figures, such as 24,600 mentions for HSBC, describe what the monitoring found rather than what Farseer changed. The 80 percent cut in reporting time comes with no client attached.
Reputation work for companies and sentiment tracking for government clients run on the same platform. How each client's queries are kept apart, and whether they train models, isn't said.
Posts by identifiable people are the raw material, which makes data protection terms central, and none appear on the product pages.
Encryption, role based access and audit trails are described, but no certification or audit report is named.
Bank and listed company clients answer to disclosure and conduct rules, while Farseer names no regulator, rule or registration that applies to it.
Sentiment scores about companies, executives and public policy come with no published method, and nothing shows how they hold up across languages or sources.
Executives scored for sentiment can't see or contest the result, and Farseer publishes no guarantee, indemnity or way to correct a misattributed source.
More than a million media sources feed the platform, and not one is named, nor is the model provider behind the generative AI.
APIs are said to connect to clients' communication and analytics systems, though no system is named and no documentation is public.
A cloud platform and an app are described with no hosting provider or region, which leaves open how data moving between Hong Kong and mainland China is handled.
Whether cost runs per user, per monitored topic or per data volume can't be told, since no price or plan is published.
Banks, listed companies and government bodies are all served from offices in Hong Kong, Singapore and Chengdu, and the named cases span a bank, a listed company and a public policy topic.
Compared With
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Pricing
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