We simplify MLOps
We integrate the best of breed tools into a single user-friendly open platform by hiding all the data engineering complexities.
Fully optimized for Google Cloud Platform services.
Ready-made pipeline blueprints that kickstart your development.
All in one place, track your progress of experiments, production pipelines and deployed models.
How our solution innovates your business
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.
OUR CUSTOMERS SAID:
“
An organization that delivers business outcomes and adapts to the pace of business change by assembling and ...
packaging business capabilities (PBCs). PBCs are application building blocks that have been purchased.
”
Features
MLOPS PRODUCT
Lightweight Experimentation
Track and compare experiments, models easily. Scale to hundreds of parallel experiments when needed. Keep track of production models with a built-in model registry service.
MLOPS PRODUCT
Seamless Deployment
Turning experiments into packaged, deployed models and services was never this easy before. Transform experimentation code to ML pipeline easily. CI/CD setup is done automatically for you.
MLOPS PRODUCT
Trouble-free ML operations
Out of the box monitoring, alerting capabilities to detect errors in any component. Monitoring of data, statistical model performance and serving applications. Alerts users and triggers retraining jobs automatically.
Recent success stories
Choose according to your journey in ML development and operation.
Experimenting
Just getting started
Managed infrastructure
Experiment tracking
Pipelines
Automatic provisioning
Experimentation scaling
Production
(At least one) models already in production
Including everything from Experiment package
Experiment tracking
Pipelines
Standard pipeline components
Feature Store & Managed Model serving service
Scaling
Orchestrate MLOps E2E
Including everything from Production package
Model performance management
Model monitoring and alerting capabilities
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New opportunities with cloud solutions!
Aliz is a proud Google Cloud Partner with specializations in Infrastructure, Data Analytics, Cloud Migration and Machine Learning. We deliver data analytics, machine learning, and infrastructure solutions, off the shelf, or custom-built on GCP using an agile, holistic approach.
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