Digazu is an end-to-end data science platform optimizing AI implementation from data collection up to production deployment.

Digazu covers the complete data science lifecycle:
– Automated data collection and storage
– SQL-based data exploration
– Creation of datasets and real-time data pipelines with no code
– Data science modeling in notebooks
– One-click deployment of data science models to production

Business Value

Digazu drastically reduces the time and cost needed to implement data science use cases and deploy them to production. It automates and streamlines all plumbing tasks, allowing data scientists to focus on the task adding more value: the modeling.
Digazu also enforces good practices and standardization, helping companies to apply governance processes and to facilitate regulatory compliance.
Digazu is designed to support the whole range of use cases, from monthly batches to critical real-time use cases.
With Digazu, you implement your first use case quickly, while being sure that you are ready for the future.

Implementation Plan

– Scoping mission: Clarify your use case(s) and technical constraints.
– Deploy Digazu, on-premises or in the cloud.
– Collect your data
– Use case(s) implementation: Build dataflows, implement your model and deploy to production. DIY or with us.

STreamline and speed up your AI industrialisation with Digazu
Company
Skills
Used technologies
Complexity
Easy
Effort Needed
5 days
ROI
1 to 3 months
Customer
at early birds
Industry
Data
Partner
Application Type
Data Science Platform
Tech Stack
Kubernetes
Learning Path
Others
Github
X
X