AIGEN SOCIAL LIMITED is an AI implementation partner based in Hong Kong. We build and operate the systems that put AI into the day-to-day running of a business.
AIGEN SOCIAL LIMITED was founded in Hong Kong to do one thing well: take the capability that now exists in frontier AI models and turn it into systems that hold up under real operational load.
We are deliberately small. There is no account layer between you and the engineers — the people who scope the work are the people who build it and keep it running afterwards.
Hong Kong is our base and our advantage. It puts us in the same week as clients in mainland China, the same market as international brands operating across Asia, and close enough to United States hours that our American clients have never found it a problem.
Our deepest track record is in digital marketing — the hardest possible test bed for generative AI. Marketing content is produced at enormous volume, judged subjectively, tied to a brand that cannot be embarrassed, and measured ruthlessly on return. Systems that survive there are built properly.
We spent years there: automated content pipelines, audience and competitor analysis, creative evaluation, ad performance monitoring and attribution — running in production for agencies and marketplaces with thousands of creators behind them.
What changed is the models. They are now good enough, cheap enough and reliable enough that the same approach pays off well beyond marketing — in operations, customer service, research, back-office processing, and anywhere a business is bottlenecked on people reading, writing and deciding. That is the work we take on now.
How we work
Plenty of processes should not be handed to a model. Telling you which ones is part of the job, and it is cheaper for you to hear it in week one than in month six.
A demo proves a model can do something once. We are only interested in the version that runs unattended, handles the awkward cases, and can be audited afterwards.
Not tokens, not adoption dashboards. Cost per unit of work, turnaround time, throughput per person, revenue affected — agreed before we start.
You own the code, the prompts, the evaluations and the data. If you want to bring it in-house, we help you do that cleanly.
Founder & CEO
Generative-AI architect and serial founder. Meng has built and run production software across HR and finance SaaS, recruiting platforms, mystery-shopper and RPO/BPO operations systems, fund trading and robo-advisory platforms, and consumer search and social apps. He leads client work and delivery.
LinkedInCo-founder
More than twenty years in financial services technology — as programmer, architect and director — including Morningstar and Haitong Securities. Yiming brings the discipline regulated environments demand: uptime, auditability, data control, and systems that are still maintainable years later.
Thirty minutes. Tell us where the work piles up, and we'll tell you honestly whether AI is the answer — and if it isn't, we'll say so.
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