Company-hosted models
Run suitable open-source or open-weight models within your company’s environment, subject to their licenses. Infrastructure and operation still have a cost.

Workspace supervised by Guardian AI
Bring approved AI models into one workspace, guided by a private Guardian that puts your company’s policies first.
For organizations ready to put AI to work.

Tasks / Start with your intent
Ask a question or choose a task. Your private Guardian helps assess the request, the data rules and the right model for the job.
A starting point / Sample request
“Turn these approved notes into a clear project proposal.”
Have something else in mind? Start with your own prompt. Review the recommended route and estimated cost before work begins.
Meet the company-private Guardian
A private assistant, supported by enforceable policy controls, helps each person find the right route for their work.
Explore the sample decisions to see how the route changes with company policy.
Create a leadership briefing from this public report.
Review the model, data to be sent and estimated cost before starting.
Explore a sample decision · Illustrative workflow, no file processed
A question, a document or a new idea. One familiar place to start.
Apply access rules. Recommend a model. Balance cost with the work required.
Use a company-hosted model when it fits the task and policy.
Proposed architecture: permissions, policy rules and human review support the Guardian. Documents prohibited from all AI processing are blocked before model access.
Models / Choice with company control
Access company-approved models in one place. Let Guardian AI balance task fit, quality and cost, or make the choice yourself.
Company policy applies to both choices. A manual selection cannot override data restrictions.
Explore the choice / Illustrative example
Guardian AI checks the task and company rules, then recommends a suitable model. You can make this your preferred way to work.
Keep suitable conversations with your company-private host. For specialist work, review an alternative route and its estimated cost.
Run suitable open-source or open-weight models within your company’s environment, subject to their licenses. Infrastructure and operation still have a cost.
Use approved provider offers where available. Quotas, data terms and availability vary; free access does not mean a model is hosted inside your company.
Bring in specialist capabilities when they fit the task. Review estimated usage cost and permitted data sharing before sending work to an external provider.
Corporate training / Build capability
Practical programmes for leaders, managers, builders and employees—delivered for your company and shaped around responsible, useful adoption.
Studio / Library / Insights
Refine what AI helps create, find it again and understand what it costs. One connected workspace around your company’s Guardian.
Document / Data / Deck
Build documents, work with data and shape presentations. Start from a branded template, with optional AI assistance where it helps.
From the first thought to the finished page.
Your thinking, in your company’s brand.

Your environment. Your choice.
Choose where the workspace, documents and Guardian live. Set which services can connect beyond that boundary.
A ScaleLab-managed workspace, with hosting and operations arranged for your organization.
A dedicated environment for your Guardian and documents, with controlled external model access.
Host the workspace and Guardian on company infrastructure. Enable approved external APIs when needed.
Use company-owned model API accounts, ScaleLab-managed accounts, or an agreed combination.

ScaleLab AI Workspace
Let’s start with your team’s real tasks, your data boundaries and a focused path to adoption.