Private AI: put AI in your own safe

“If I give our confidential files to an outside AI, could they leak? Could they be used to train it, and one day show up for someone else?” This is the question we heard most often over the past year.

Everyone wants AI to help with their work, but law firms, accountants and auditors, security companies and many confidentiality-first businesses are rightly cautious. From today, Singfung Labs offers private AI deployment.

Like putting valuables in your own office safe

Our approach is simple: the whole AI system runs on your company's servers, inside your own network. Models, knowledge base and conversation history stay in your server room or a private rack you choose. Data never leaves, never touches the public internet, and is never used by any outside AI company for training. You get the intelligence of AI and keep your data safe.

Delivered once, from hardware to day-to-day care

• Hardware: GPU servers sized to your people and tasks, or your existing servers.
• Open models: proven open-source models tuned for Chinese and English office work, with no outside API.
• Private knowledge base: your contracts, working papers and policies, with answers that cite the source so they can be checked.
• Access and audit: permissions by department and matter, with every query logged to meet professional confidentiality rules.
• Fully offline if needed: it can run disconnected, with updates brought on site by our engineers.
• Ongoing care: model upgrades, monitoring and fixes under an annual service contract.

What people use it for

Law firms review contracts, search precedents and draft documents; accounting and audit teams organise working papers, check vouchers and look up standards; security firms analyse logs, gather threat intelligence and write reports; confidentiality-first companies connect R&D, finance and internal knowledge so new staff get up to speed faster. What they share: the data cannot leave.

Usually live in four to eight weeks

We start with your headcount, data volume, confidentiality level and existing server room, then quote hardware, models and service line by line. On-site work covers installation, connecting the knowledge base, setting permissions and training, followed by scheduled upgrades and checks under contract. If you would rather sign a non-disclosure agreement before discussing details, we fully understand.

Book an assessment on the Labs Private AI page and one of our engineers will contact you directly.