An on-premises AI work platform
AI accelerates workYour company owns the outcome
Connect company knowledge, workflows and AI so your team can focus on judgment and creation, producing work that people can review and hand over.
Complete the work. Keep its value in your company.
Company knowledge → Work output
Work handover checklist
Sources: company SOPs, project records and work rules
- Align current progress and responsible roles
- Organize next steps, tasks and information locations
- Keep knowledge sources and items awaiting review
Document draft · Review before handover
Three values your company controls
Complete the work. Keep its value in your company.
Control your data
Put company knowledge to work within your company.
Combine on-premises deployment, knowledge sources and access permissions so teams can work with their own data.
Data processing can remain on the company network when the relevant models and services run internally and external transfers are disabled.Plan your costs
Plan operational investment around workload and scope.
Estimate needs from one workflow, align hardware, models, integration and maintenance, and plan sustainable AI use.
When all inference uses internal models, there are no external-model token fees; hardware, electricity, maintenance and licensing still require planning.Build on your outcomes
Turn completed work into experience you can use again.
AI drafts from company knowledge. People review and save the work, giving teams context for handover and sources for reuse.
Reuse follows access permissions after the team reviews, organizes and saves the work.See how AI supports your work
Connect company experience to the next outcome.
Choose a workflow to explore AI answers, knowledge sources and document drafts.
- 01Company knowledge
Provide data and rules you have permission to use.
- 02AI processing
Use sources to clarify the question and prepare a draft.
- 03Human review
Apply professional judgment to review tasks and content.
- 04Work ready for handover
Save documents and context to continue the next task.
AI SandboxAI AssistantCompany knowledge
Employee: 不同部門一直改需求，專案反覆重做。以前遇過嗎？
找到一個類似專案。這次是需求持續新增，還是各部門對原本的需求理解不同？
Pick a line to ask next
These scenarios and documents are simulated and change with your selections. Real work is reused according to permissions after team review, organization and saving.
From workflow validation to daily use
Complete one workflow, then expand its value.
- 01
Select a workflow
Align data, process, goals and expected outputs together.
- 02
Validate the AI approach
Use agreed data and scenarios to verify the usable scope.
- 03
Integration and training
Connect systems within the agreed scope and train teams for daily use.
- 04
Acceptance and handover
Review outputs against agreed items and hand over documentation and maintenance arrangements.
Start your AI rollout with one workflow.
Spend 30 minutes aligning needs, data and acceptance criteria to find the work worth completing first.