Most organisations running AI at any scale cannot answer three questions: how much are we spending, who is spending it, and what did the model see. The spend is real and growing, it sits across several vendor bills, and no one owns the total.
NextBrain provides a control point for supported AI connections in your environment. Requests routed through it can be attributed, logged and governed. Workspace subscriptions and API traffic have different integration paths; we validate the supported controls for each service.
What it does
See the spend Cost broken down by team, by project, by model. Including the usage nobody has been attributing to anyone.
Set the rules Which teams use which models, at what limits, with what data. Enforced at the request, not in a policy document nobody reads.
Keep the record Which model touched which data, when, and under whose approval. Available when the board, the parent company or an auditor asks.
Why teams bring us in
- A monthly AI bill that grew fast and cannot be explained line by line
- A near miss — someone pasted something into a public model that should not have left the building
- A parent company or board asking for AI usage reporting nobody can produce
How it deploys
AWS is our primary deployment platform. We supply model access through Amazon Bedrock and, for selected workloads, Cloudflare AI Gateway. Hosting, model access and data boundaries are agreed separately for each implementation.
NextBrain is the governance component of our broader enterprise AI operating model. Secure Vibe provides the workshop, secure landing zone, delivery batches and ongoing operations for the applications built around it.
Getting started
Most engagements start with a two-week assessment that establishes what you are actually spending today. That number is usually the reason the project gets approved.