Introducing Kamora Gateway

Your AI models.
Under your control.

Give people access to the models they need while keeping control of licenses, token budgets, sensitive data, and usage across your private cloud and Azure AI Foundry subscriptions.

Your infrastructureYour model choicesYour controls
K

Gateway console

Example workspace

Illustrative preview

Workspace overview

AI access, in view

Current period

Connected models

04

Private + subscription

Assigned seats

128

Across 6 teams

Token budget used

62%

Available model routes

Private cloud model

Internal infrastructure

Azure AI Foundry

Connected subscription

A governed request

Team member
Access + budget policyAllowed
Approved model

How Gateway works

From model access to measurable usage.

Give each team room to explore approved AI models while administrators keep a clear view of access, limits, and activity.

01 / 04

Connect your models

Bring private-cloud models and Azure AI Foundry subscriptions into one approved catalog.

02 / 04

Set access and budgets

Assign seats, available models, and token allowances to people and teams.

03 / 04

Let people work

Users choose among the models their organization has made available to them.

04 / 04

See what happened

Follow requests, token consumption, and policy outcomes from the admin console.

Built for enterprise AI operations

The controls behind confident model choice.

A single admin experience for the details that matter to platform, security, and business teams.

All Gateway capabilities

A unified model catalog

Manage models running in your own cloud alongside connected provider subscriptions.

Access for every team

Distribute licenses and model permissions by user or team from one control surface.

Token budgets with context

Allocate usage rights and understand consumption before it becomes a surprise.

Sensitive data controls

Apply organizational policies and inspect the outcomes of governed requests.

Searchable activity

Review model usage, request logs, and the signals operators need to investigate.

Planned

Observability roadmap

OpenTelemetry-based tracing, analysis, and reporting are planned for deeper visibility.

Inside the admin experience

See the whole AI estate without switching consoles.

Explore how model connections, user allocations, token usage, audit activity, and telemetry plans come together for an operator.

Open admin preview

Interactive preview with illustrative data

01

Model inventory

Private cloud + subscriptions

02

Access & allocation

People, seats, token limits

03

Usage & audit

Requests and policy outcomes

04

Observability

OpenTelemetry roadmap

Also from Kamora

Privacy Guard protects the prompt journey.

Detect and replace sensitive values before a prompt reaches an LLM. Try the existing playground to see anonymization in action.

Try Privacy Playground
Example privacy flow

Original prompt

Summarize the report for Alex Morgan and email the result to [email protected].

Anonymized prompt

Summarize the report for [PERSON_1] and email the result to [EMAIL_1].

KamoraLabs | Govern Enterprise AI