Find the policy.
Understand the answer.
Give HR, support and operations teams a source-grounded place to ask about internal guidance.
Explore knowledge →Bring private AI into everyday work. Connect your knowledge, work with documents and build useful applications—all on infrastructure you control.
Include the receipt, business purpose and the relevant approval before submitting your claim.
1 Travel policy · § 4.22 Expense guide · § 2Run models and knowledge services within your chosen infrastructure.
Connect answers to selected sources, with evidence your teams can review.
Use roles, reviews and approvals as work moves from idea to output.
Move between knowledge, documents and application workflows without losing the controls your organization needs.
Bring documents into a focused notebook. Ask questions, inspect citations, compare sources and generate useful outputs.
Draft, summarize and explore ideas with models configured for your deployment and access governed by your organization.
Extract text, review digitized content, compare documents and export results into the next step of your work.
Generate a proposal, inspect the changes and validate a preview. Approval controls govern promotion of supported applications.
Define task-focused agents, sequence workflows and schedule jobs with review and approval at the right steps.
Manage identity and roles, review activity, monitor your platform and operate backup and recovery workflows.
Bring the right sources into a notebook. Ask a focused question, check the evidence and turn the answer into something your team can use.
Walk through NotebookUpload source files into a focused workspace.
Import snapshots from administrator-prepared network sources.
Bring in bounded query results through the PostgreSQL connector.
Give HR, support and operations teams a source-grounded place to ask about internal guidance.
Explore knowledge →Compare versions, examine extracted content and prepare findings for a human decision.
Explore documents →Use App Studio to work from a proposal to a validated preview and a governed release process.
Explore App Studio →Example use cases. Scope, model quality and acceptance criteria are agreed for each deployment.
Choose the deployment around your users, models, data and workloads. Capacity is sized for your use case.
For individual specialists, developers, research teams and scoped departmental pilots.
For shared knowledge, governed application workflows and centrally managed AI services.
We assess model delivery, identity, updates and integration dependencies as part of your deployment scope.
See the approach →Some capabilities require a scoped pilot or additional setup. We’ll identify the right fit before rollout.
Explore assisted work in Word, Excel and PowerPoint. Supported hosts and deployment methods are qualified for the pilot.
Explore meeting integration and consent-based transcript processing. Live recording and automatic transcription are not included in the current pilot.
Dataset preparation and review support a potential training workflow. Fine-tuning needs a separately configured model, GPU and execution environment.
Agree the team, source material and the result you want to improve.
Configure models, access and data sources. Test with representative work.
Review quality, performance and operations before a wider rollout.
See how Nexus One AI could fit your team, your knowledge and your infrastructure.