AI Resource Management · Cost Control

AI spend is increasing faster
than companies can manage it.

Every prompt, model, user, dataset, and department can become a hidden cost center. Bring visibility, control, and financial accountability to every AI interaction across your company.

AI-in-a-Box

One centralized layer for AI usage and spend.

Manage users, roles, permissions, model access, token usage, and AI spend from one operational layer. Give every team the access they need, while leadership keeps visibility over cost, usage, and accountability.

Modular arhitecture

AI-in-a-Box

ZERO TRUST AI ENVIRONMENT

The cost is not only
the AI subscription.

Every prompt, model, user, dataset, and department can become a hidden cost center. Sensitive workflows run inside controlled clean rooms where approved data, authorised users, and permitted models meet under policy.

01

Hidden Costs

02

Token Consumption

03

Expensive Model Usage

04

Shadow AI

05

Duplicated Tools

06

Unclear Ownership

07

No Budget Limits

08

No Spend Accountability

09

No Usage Visibility

DATA ACCESS POLICIES

Controlled AI workspaces with cost rules.

Teams use approved models, approved data, and defined budget limits inside controlled AI workspaces. Every room can be monitored, restricted, and audited by policy, so sensitive workflows stay protected while AI spend remains visible.

Enforce data access policies.

One platform. Control budgets by workspace.

Audit USAGE

Manage AI like a business utility, not a scattered collection of tools.

AI spend does not appear only at the end of the month. Instead of showing cost only after it happens, the platform audits AI usage at the source, connecting spend to users, teams, models, data privileges, and business activity.

Audit usage before spend grows.

Connect cost to every AI action.

”AI costs are increasing faster than companies can track them. Start to scale in 90 days.”

Request demo

Request
a Demo. See for yourself.

See how your company can track AI usage, control hidden costs, and manage access across teams, models, and data from one centralized platform.

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