Command & Control

For Enterprise AI Agents

Give every AI agent a place to run — safely, and in full view.
Amberd is the private platform enterprises use to build, secure, and monitor AI agents. Choose public or private LLMs per agent, keep sensitive data behind one governed gateway, and see status, activity, and cost in one place.

The Challenge

AI Agents Are Easy to Build. Hard to Run at Enterprise Scale.

As agents multiply across the enterprise, control becomes increasingly difficult.

Agents fragmented across teams
Limited runtime visibility
Failures difficult to track
AI usage hard to control
Rising AI infrastructure costs

THE AMBERD CONTROL LAYER

Bring Every AI Agent Under Control

Amberd gives enterprises one controlled environment to operate agents as they scale.

The intelligence layer

Where data access becomes understanding.

Between your enterprise data and your agents sits one shared intelligence layer. It’s where raw access turns into understanding — interpreting business meaning, holding context across a run, reasoning over your ontology, and orchestrating the right model under platform control. For agents that require private AI, Amberd provides GPU infrastructure without requiring dedicated capacity for every workload

Semantic understanding

 

Interprets business meaning across structured and unstructured enterprise data.

Context management

 

Maintains the right execution context across systems, questions, and agent runs.

Reasoning engine

 

Calculates, interprets, summarizes, and derives named fields from natural language.

Ontology & knowledge

 

Connects business concepts, relationships, and policy logic to operations.

Model orchestration

 

Selects and coordinates the right models and tools under platform control.

Choose the Right Model for Every Agent

Typical outcomes

Run private AI without acquiring your own GPUs

For agents that require private AI, Amberd provides GPU infrastructure without requiring dedicated capacity for every workload

Dedicated GPU

Reserve and pay for an entire GPU server.

Segmented GPU

Use only the GPU capacity your agents need.


Private AI infrastructure that scales with your agents.

Amberd

Allocate GPU capacity based on actual workload requirements and adjust it as your agents’ needs evolve.

Avoid paying for an entire GPU server when your agents only require a fraction of its available capacity.

Run private models on GPU infrastructure designed to support demanding enterprise AI workloads.

Increase GPU capacity as agent workloads grow, without having to reserve additional dedicated servers upfront.

Run private AI workloads on securely isolated GPU capacity without sharing access across environments.

Support demanding private AI workloads with GPU infrastructure built for consistent, reliable execution.

HOW AMBERD WORKS

From AI Agent to Enterprise Operation Architecture

Connect each agent to the services, enterprise data and AI infrastructure it needs to run reliably.

Contact our Experts

sales@amberd.ai

SECURE BY DESIGN

Secure Data Access Without Exposing Credentials

Amberd manages data connections centrally, so agents can access the systems they need without ever holding or receiving credentials. Connection limits and pooling control how many agents can access each data source concurrently, protecting enterprise systems as agent usage scales.

Credentials stay outside the agent.
Agents reference approved connections while Amberd manages authentication, access and connection concurrency centrally.

Amberd

CONNECT YOUR DATA

Connect Amberd to your existing systems

PostgreSQL

Structured operational data

MySQL

Application & business data

SQL Server

Enterprise relational data

Microsoft Fabric

Unified analytics & enterprise data

Snowflake

Cloud warehouse & analytics data

Amazon S3

Files & unstructured data

Google Drive

Business documents & shared files

OneDrive

Enterprise documents & files

APIs

External systems & business applications

Ressource governance

Control How Much Your Agents Can Consume

Set operational and spending limits across your agent environment, so usage stays within the boundaries you define as you scale.

Control concurrency, data connections and AI spend from one place. Define how many agents can run at the same time, limit simultaneous connections to each data source, and set a maximum AI spend across any rolling 30-day period.

When the spending limit is reached, agents using paid LLMs stop running, while agents using models that do not generate usage costs can continue to operate.

CONCURRENCY
Control how many agents run at once
CONNECTIONS
Limit simultaneous data connections
AI SPEND
Cap paid LLM costs over 30 days

NO-CODE AGENT BUILDER

Build and Bring Your Agents Into Amberd

Create agents directly in Amberd or bring in agents you already have. Choose the creation method that fits your team, while Amberd provides the same controlled environment for running and managing them.

 
GUIDED BUILDER
Create in Amberd

Use Amberd’s wizard-based interface to define what the agent should do, connect the resources it needs, configure its behavior and prepare it to run — without writing code.

CLAUDE COWORK
Connect Claude Cowork

Connect Claude Cowork Desktop to Amberd and use it as another way to define and configure agents within the Amberd environment.

AGENT DEFINITION
Define with JSON

Create an agent from a structured JSON definition when you need more control over its configuration, resources, rules and actions.

EXISTING AGENTS
Port Existing Agents

Bring agents you already have into Amberd and use Claude to help adapt their definitions to the Amberd environment.

ACTIONS

From insight to action

01
Report

Architectural alignment before implementation.

02
Update Data

Controlled deployment of automation infrastructure.

03
Trigger

Operational enablement and system ownership transfer.

04
Notify

Ongoing performance governance and system optimization.

AI AGENTS IN ACTION

Every Agent. Fully Visible.

See the model, cost, workflow and outcome behind every agent.

GPT
$800.42/Month
Sales Analysis Agent
INPUTS
CRM / Sales Data
AUTO
Analyze → Flag → Update
RESULT
PRIVATE LLM
$00.00
Financial Reporting Agent
INPUTS
ERP / Financial Data
AUTO
Analyze
Repport
Send
RESULT
CLAUDE
$1200.84/Month
Contract Monitor Agent
INPUTS
Contracts / Files
AUTO
Review → Detect → Notify
RESULT

AI COST VISIBILITY

Know Exactly Where Your AI Spend Goes

Track costs across every agent, run and model from one place.

01
Total AI Spend
AI COSTS
ALL AGENTS
$2,847

Total Cost

Total AI spend across all agent activity.

Cost over time

Track how total AI spend evolves across the selected period.

Agent activity
Connect total spend to 12,486 agent runs across your environment.
Average cost
See the average cost per agent and how it changes as usage scales.
02
Cost by Agent
AGENT COSTS
ALL AGENTS
$28

Avg. Cost / Agent

Average AI cost across all active agents.

Top Agents
See which agents account for the largest share of your total AI spend.
Usage Comparison
Compare agent costs against run volume and activity across your environment.
Cost Trends
Track how individual agent costs evolve as usage and workloads change.
03
Cost by LLM Provider
MODEL COSTS
ALL LLMS
$1,246

Top Provider Spend

AI spend across public and private models.

 

Provider Breakdown
See spend across OpenAI, Anthropic, Gemini and private AI models.
Model Usage
Understand which models are driving usage across your active agents.
Cost Comparison
Compare model costs to understand where your AI budget is being allocated.

From our blog

Articles & insights

READY TO TAKE CONTROL?

Bring Your AI Agents Under Control Before They Multiply

As AI agents spread across your organization, complexity grows fast. Amberd gives you one place to control, monitor and manage every agent before sprawl becomes a problem.