Hong Kong Island · Applied AI
AI knowledge base in Cyberport
AI knowledge base that lives in your stack, not on a vendor's roadmap. Shipped from Hong Kong Island.
What AI knowledge base actually does
Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads – your team asks questions and gets answers with citations.
The reason we take on work in Cyberport is that the businesses here tend to be sharper about what they want than the brief lets on. AI knowledge base for a Cyberport team almost always ends up looking different to AI knowledge base for a downtown Auckland one.
- 01 Ingests PDFs, Word docs, videos, Slack, Notion, Drive
- 02 Answers with citations back to source documents
- 03 Permission-aware – staff only see what they should
- 04 Detects stale docs and prompts owners to update
Built on: Claude Pinecone Vercel AI SDK Postgres MCP
Why Cyberport businesses choose this
Cyberport is Hong Kong's dedicated tech and fintech precinct, purpose-built to house the city's startup and digital economy – AI here is judged by founders and engineers, not procurement committees.
The pattern across Cyberport engagements we've shipped.
A government-backed tech park concentrating fintech, AI and digital media startups alongside venture capital and accelerator programs. Businesses here expect AI built with real technical rigor, since many of them build software themselves.
We work with teams across Cyberport: Pok Fu Lam · Telegraph Bay · Wah Fu · Aberdeen.
How we build AI knowledge base for a Cyberport team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Cyberport business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
Internal AI knowledge base.
The outcome for Cyberport teams
We'd call the engagement a success when Cyberport teams are using the system without thinking about us. New staff get to productive 3x faster – less senior-team interruption.
New staff get to productive 3x faster – less senior-team interruption.
AI knowledge base in Cyberport – common questions
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is AI knowledge base worth it for a smaller Cyberport?
Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
What's the realistic outcome for Cyberport businesses?
New staff get to productive 3x faster – less senior-team interruption. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What tools do you build AI knowledge base on?
For AI knowledge base we usually reach for Claude, Pinecone, Vercel AI SDK, Postgres, MCP. We're tool-agnostic at heart – we pick what your Cyberport team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.