In the field of AI/ML technology supercharged by Aliz
Available as Blueprint or Managed service (API endpoint and UI)
Automatized training and retraining
Accessible through web interface (API)
Data engineering support
Save on resources
AI based solutions not only saves time of getting results without delay, but delivers significantly higher accuracy and more accurate prediction resulting in cost saving or revenue increase.
Adapts quickly to fast-changing demands
Allows short and mid-term planning even with volatile demand patterns when customer demands and behaviour change rapidly and adoption is a key to profitable sales operation for both existing delivery or new product launches.
Adaptable to multiple data sources
As a highly automated solution, multiple variables and sources can be incorporated smoothly. You can implement both internal (such as sales data) and external factors like weather, calendar events, demographics, etc.
packaging business capabilities (PBCs). PBCs are application building blocks that have been purchased.
HOW BLUEPRINTS WORK?
Blueprints are the basic modules and basic building blocks of your composable business and tech capabilities. Browse our blueprint repository and select the solution you need.
HOW BLUEPRINTS WORK?
Check out the details on a dashboard, and get information about where a blueprint has been utilized across your organization. Each use case can be tracked and sorted via workspaces enabling you to collaborate across departments.
HOW BLUEPRINTS WORK?
The selected blueprint will be available in your code repository. The platform will push the project into your organization's Github, where you can modify the code or use as is.
HOW BLUEPRINTS WORK?
The platform can provision the code or selected solution (set up the infrastructure and deploy components to the cloud). Each blueprint includes scripts and know-how (e.g. in Terraform code) that will determine how to provision it.
Packaged capabilities
Responsive microservices packaged in business capabilities with built-in best practices to simplify operations.
Seamless operation
Managed microservice architecture to get your business competency to market with the desired ROI.
Cloud-native deployment
End-to-end extensible deployment and provisioning enable you to move on Google Cloud at your own pace.
We helped European electronics retailer Conrad Electronic decrease their customer churn and offer their customers a more personalized experience.
We helped leading low-cost airline Wizz Air connect online Google Analytics 360 data to their data warehouse and benefit from real-time, combined insights.
We helped one of the largest independent marketing platform companies migrate from Heroku to GCP to benefit from better storage, seamless scaling and more.
Just getting started
Managed infrastructure
Experiment tracking
ML pipelines
Automatic provisioning
Experimentation scaling
(At least one) models already in production
Including everything from Experiment package
Standard pipeline components
Feature Store & Managed Model serving service
Orchestrate MLOps E2E
Including everything from Production package
Model performance management
Model monitoring and alerting capabilities
We’re on a long-term mission to make sense of random information clusters. We are heavy on features and on a journey toward frictionless data analytics.
Tech founder who believes that IT solutions can make the world a better place.
István Boscha
CEO, DACH
Technical leader whose passion is to deliver valuable solutions to every customer.
Zoltán Guth
CTO of Platform
Lead Data Science Architect and dedicated evangelist of MLOps solutions.
Norbert Liki
Lead Data Scientist Architect
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