Make scattered documents searchable
Start with text-extractable PDF, Word, TXT and Excel. Agree scope, updates and document owners. Scanned OCR and complex tables need separate assessment.
PRIVATE KNOWLEDGE / BUSINESS AI
Turn business documents into answers you can check.
Start with product information, internal policies or research documents. Connect local models and retrieval so staff can ask naturally and check the cited sources.
Hong Kong stock · Models and configuration agreed to your needs
Official NVIDIA product image. Configuration and local performance are confirmed through planning and tests.
WHAT THIS BRINGS TO YOUR WORK
Intelligence grounded in work you can verify.
Check answers against citations
Retrieval-augmented generation finds relevant passages and drafts sourced answers. Mark insufficient evidence and retain human review for important decisions.
Control access by role
Confirm what each department and account can read. Test permission boundaries before expanding assistants and business integrations.
DELIVERY APPROACH
Validate one workflow, then expand.
- 01
Choose one pilot workflow
Pick policy queries, product support or research, with representative files and actual questions.
- 02
Build retrieval and citations
Prepare, chunk and index documents; connect a local model; verify relevance and citation accuracy.
- 03
Test permissions and updates
Check role access, document updates and answer quality, then hand over daily operation.
FAQ / COMMON QUESTIONS
Clear expectations before deployment.
The pilot checks answer quality, citations and access. Data preparation and business integrations are agreed in the proposal.
NVIDIA hardware specifications ↗Model intelligence, rankings and sources ↗Which documents should we start with?
Authorised, text-extractable PDF, DOCX, TXT and XLSX with a clear scope. Choose consistent formats and questions that can be checked against the files.
Will the assistant always be correct?
No. Retrieval and citations support checking, but models can still be wrong. Test retrieval, citations and answers with a question set; retain review for insufficient evidence or important decisions.
Will documents go to public cloud services?
Inference, documents and indexes can be processed within the agreed business environment. Confirm data flows for OCR, external tools, updates and third-party integrations separately.
NEXT STEP / TALK TO US
Bring your workload. See a real demonstration.
Tell us your tasks, document formats and expected users. We can confirm models, configuration and delivery scope together.
info@sunriseorigin.comThis form creates an email draft in your browser. It does not submit or store your entries. Open your email app, review and send it yourself. Describe your needs without attaching confidential files.
Choose your starting point
Start local AI with one clear business need.
DGX SPARK / HONG KONG
DGX Spark enterprise AI deployment
Single- and dual-node planning, model configuration, business knowledge and assistant integration. Hardware availability and deployment are confirmed for each proposal; services are quoted separately.
Explore the solution QWEN / LOCAL DEPLOYMENTPut Qwen intelligence into your own business workflows.
Local Qwen3.8-Flash-Next deployment: dual DGX Spark assessment, quantized inference, business retrieval and dedicated assistants tested with your tasks.
Explore the solution