Pricing and Packages

Discover our AWS and Azure services below, incl. comparison between the services.

You can find out more on our ai attack products here.

ai attack OpenAI Playground - Basic

Available for free and without any expiration date.

Request access
ai attack OpenAI Playground - Premium Individual

With Individual you receive access to the latest OpenAI models (GPT-4, GPT-4 vision, DALL-E etc.).

This access costs 50 euros/month.

Order here
ai attack OpenAI Playground - Premium Teams

With Premium Teams you receive access to the latest OpenAI models (GPT-4, GPT-4 vision, DALL-E etc.), plus you can enable the feature Add Own Data, to upload also own documents.

This access costs 80 euros/month/user (minimum 10 users).

Order here
Azure Developer Package - Standard

With the Azure Standard Developer package you can develop your own AI use case.

Standard costs 1000€/month (plus consumption cost) and is for 1 use case.

Please find below in the table an overview of the pricing.

Order here
Azure Developer Package - Custom

Get access to the Custom Package, a customized version of the standard package for developing your AI use case (for specific requirements). 

Custom costs 1800€/month (plus consumption cost) and for multiple use cases.

Please find below in the table an overview of the pricing.

Order here
Azure API Only

Get access to the API Only, to get an Azure API key.

Azure API Only costs 300€/month and is for 1 use case.

Please find below in the table an overview of the pricing.

Order here
AWS Developer Package - Custom

Get started with a developer account on AWS and instantly receive a custom develpment account whether for development, sandbox testing, or production.
Enjoy full access to all ACP 2 services, rigorously evaluated by Cybersecurity with just one click. Standard price €1800 per month plus usage per use case.

Order here
AWS Bedrock Barebone API

The easiest way to build and scale generative AI applications with foundation models using AWS Bedrock with Datalake2Go.
The API endpoint will be delivered in an email with the API key to you once you place order. Standard price from €500 per month plus usage per use case.

Order here
AWS Add Your Own Data API

A packaged Datalake2Go Chatbot API that handles context management and session management out of the box. Based on AWS Bedrock models from Anthropic and Amazon.
The API endpoint will be delivered in an email with the API key to you once you place order. Standard price from €550 per month plus usage per use case.

Order here
ai attack OpenAI Playground Options
Basic
Free of Cost
Premium Individual
50€/month
Premium Teams
80€/month/user*
Add-Ons
Add own data
check

Feature: Add Own Data (for Premium Teams only)

Consulting from 1000€

Included in all packages:

  • ACP-2 level clearance
  • Cybersecurity policies, monitoring, alerting ​
  • CYS incident tickets (Vurious tool) ​
  • Annual reviews of the platform​
  • Continuous platform improvements and integrations​
  • Operations, user management, ticketing​
  • Billing, charging, cost monitoring and alerts
Dedicated Resource Group
check

Only with Add-On

Blob Storage
check

Only with Add-On

Web App
check

Only with Add-On

A.I Cognitive services
Computer vision
check
check
Document intelligence
check
check
Cognitive Search
check

only with Add-On

Models
GPT-3.5 Turbo, Turbo 16K
check
check
check
GPT-4o
check
check
check
GPT-4 Vision
check
GPT-4 and GPT-4 Turbo models
check
check
DALL-e
check
check
Text-embedding-ada 002​
check
check

Only with Add-On

Text-embedding-3-large
check

Only with Add-On

Text-embedding-3-small​
check

Only with Add-On

Add-Ons

Feature: Add Own Data (for Premium Teams only)

Consulting from 1000€

Included in all packages:

  • ACP-2 level clearance
  • Cybersecurity policies, monitoring, alerting ​
  • CYS incident tickets (Vurious tool) ​
  • Annual reviews of the platform​
  • Continuous platform improvements and integrations​
  • Operations, user management, ticketing​
  • Billing, charging, cost monitoring and alerts
Azure Developer Packages Overview
API Only
300€ /month*
Standard
1000€ /month*
Custom
1800€ /month*
Add-Ons
Initial Set-up Costs

500€

1000€

2000€

Implementation

Consulting

Operations (MLOPs)

Playground

Included in all packages:

  • ACP-2 level clearance
  • Network elements (Firewall, Application Gateway, Network Restrictions, Private Endpoints ...)
  • Cyber security policies, monitoring, alerting
  • Cyber security incident tickets (Vurious Tool)
  • Annual reviews of the platform
  • Continuous platform improvements and integrations
  • Operations, user management, ticketing
  • Billing, charging, cost monitoring and alerts
Azure Resources
Dedicated Resources Group
check
check
check
Dedicated Azure Subscription
incl. Terraform access
check
OpenAI Service
GPT-3.5 Turbo 16k, GPT-4 and more**
check
check
check
Machine Learning Service
All Open Source LLM

Mistral Large is available

check
check
A.I Cognitive Services
Computer Vision, Custom Vision, Document Intelligence, Text translator
check
check
Supporting Services
Blob Storage, Application Insights, Key Vault, Container Registry MS Defender
check
check
Data
Hana, Snowflake
check
check
Custom interfaces to DBs on demand
check
Interfaces
Power BI, Mendix, Tableau, SNX though VPN
check
check
Custom interfaces on demand
check
Add-Ons

Implementation

Consulting

Operations (MLOPs)

Playground

Included in all packages:

  • ACP-2 level clearance
  • Network elements (Firewall, Application Gateway, Network Restrictions, Private Endpoints ...)
  • Cyber security policies, monitoring, alerting
  • Cyber security incident tickets (Vurious Tool)
  • Annual reviews of the platform
  • Continuous platform improvements and integrations
  • Operations, user management, ticketing
  • Billing, charging, cost monitoring and alerts
AWS Developer Packages Overview
Bedrock API
from 500€ /month*
Add your own data API
from 550€ /month*
Custom
from 1800€ /month*
Benefits
Bring your Data

Cybersecurity 

Data Privacy 

Annual reviews 

Platform improvements 

Operations

Billing

Included in all packages:

  • Cybersecurity policies, monitoring, alerting
  • Data Privacy and Separation
  • Annual reviews of the platform
  • Continuous platform improvements and integrations
  • Operations, support & ticketing
  • Billing, charging, cost monitoring and alerts
S3 Storage
check
check
Dedicated Context in OpenSearch
check
check
Web App Integration
check
Models
Anthropic Claude 2
check
check
Amazon Titan
check
check
Llama 2
check
check
Cohere Command & Embed
check
check
Jurassic
check
check
Stable Diffusion
check

Available later

Bedrock Features
Dedicated API Endpoint
check
check
Model Evaluation

Available later

Available later

Guardrails

Available later

Available later

Agents

Available later

Available later

AI Services
Bedrock
check
Sagemaker
check
Augmented AI
check
Rekognition
check
Textract
check
DeepComposer
check
Supporting Services
OpenSearch
check
S3
check
Lambda
check
Glue
check
Add-Ons

Cybersecurity 

Data Privacy 

Annual reviews 

Platform improvements 

Operations

Billing

Included in all packages:

  • Cybersecurity policies, monitoring, alerting
  • Data Privacy and Separation
  • Annual reviews of the platform
  • Continuous platform improvements and integrations
  • Operations, support & ticketing
  • Billing, charging, cost monitoring and alerts
Azure vs AWS ML Features Comparison
Azure
ML Features
AWS
ML Features
Automated ML-Pipeline
yes

AutoML is implementable from azure python package in train register step​​

later

AutoML is triggered by newly uploaded train package in code.siemens

Model Registry​
yes
  • MLflow Model Registry​ 
  • Implemented, hosted in Azure ML Studio
yes
  • MLflow Model Registry​
  • Implemented, hosted in ECS Fargate
Feature Store

Azure ML managed Feature Store

SageMaker Feature Store

Experiment Logging​
yes

MLflow in Azure ML Studio

yes

MLflow Logging​

Pipeline Orchestration​
yes

Azure ML Studio​

later

SageMaker Pipeline / Step Function​

Managed Online Endpoints
yes

ML Studio Endpoints

yes

SageMaker Endpoints​

Managed Batch Endpoints

None ​currently

None ​currently

Retraining​
yes
  • Manual trigger
  • Scheduled trigger​
later
  • Manuel API Call trigger
  • Scheduled trigger
  • CI/CD triggered
Viz Of Pipelines​
yes

ML Studio​

later

SageMaker Pipeline

Monitoring​
later

ML Studio native

later

SageMaker Monitoring Feature

Alerts​
yes

Cloud Watch

Hyperparameter optimization​
later

SageMaker Hyperparameter Tuning

Endpoints traffic logging​
yes

Azure native logging

yes

SageMaker native Logging with Cloud Watch

Data Drift​
later
  • Training data monitoring (Azure Dataset Monitoring)
  • ML Studio Monitoring
later

SageMaker Data Monitoring Feature

Model Drift​
later

ML Studio Monitoring

later

SageMaker Model Monitoring

Azure vs AWS Non-ML Features Comparison
Azure
Non-ML Features
AWS
Non-ML Features
Codebase

code.siemens

code.siemens

CI/CD
yes

Gitlab CI/CD

later

Gitlab CI/CD

Branch Strategy
yes

Dev and Prod branches

yes

Dev and Prod branches

Number of Environments

2 Environments

2 Environments: separated terraform workspaces

Data Integrations
later

Snowflake Connector

later

Snowflake Connector

Package Management

conda

poetry

Dockers
yes

Containers in Gitlab runner for unit tests, linting etc.

later

Containers in Gitlab runner for linting and training / deployment images publishing.

Webhooks

Not currently

Not currently (consider MLflow Model Registry Webhooks)

Code Quality
yes

Pre-commit hooks

yes

Pre-commit hooks

Auto Scaling Clusters

None currently

None currently

Role based Access Control
later

AWS IAM

Data Versioning

Third Party (DVC, Snowflake)

Third Party (DVC, Snowflake)

Our ai products
ai attack offers AI services but also "ready to use" ai products.
SiemensGPT

The interface for all GenAI solutions in Siemens. A secure, user-friendly, and collaborative platform designed for Siemens Employees. SiemensGPT is the successor of ai attack OpenAI Playground - Register Here

Anomaly Detection

The anomaly detection product is a web-based application that provides a general anomaly detection procedure for quicker and more efficient detection of unusual patterns.

Scoring Engine

The Scoring engine provides automated scoring of data records  to support your data-driven decision making. The engine can process large volumes of data in real-time and replace manual and repetitive scoring tasks.