Elevate your business with our innovative technology solutions

Datics Consulting is a growing technology service startup in Cloud, DevOps, IT-Outsourcing, Data Engineering, and AI.

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We are
Datics Consulting

At Datics, we pride ourselves on providing the very best personalized solutions for our customers to achieve their goals. Our talented professionals can assist your organization’s vision by developing strategy and planning for Infrastructure as Code, CI / CD Pipelines, Data science, Data Platform, Big data, Cloud migration.

Our Clients

Our Services

Discover the wide range of high-quality services that we offer.

DevOps and Cloud Migration

Cloud Consulting and Management

Cloud consulting will help companies make technology-related decisions on migrating data storage to cloud or opting for cloud-native development or optimization to prevent unnecessary expenditures.

Cloud migration
In-cloud app development
Cloud optimization

CI/CD Pipelines

Our CI/CD services include designing and implementing tactics about continuous integration and continuous deployment on IT infrastructures.

Setting up the CI / CD pipeline
Orchestration and configuration management
Monitoring and Alert Management
Log Management

DevOps Implementation

DevOps is a methodology designed to align development and operation teams to deliver high-quality software faster.

End-to-end DevOps implementation consulting
DevOps launch consulting

Networking Management Services

We consult and help make your internal network and internet access secured and reliable.

Data Services

Big Data

Big data services provide big data analysis and develop strategies to help companies maximize value and achieve business goals.

Provide best-fit architectural solutions to manage our global data ecosystem
Design, develop and support data pipelines and data services
Improve the consistency, timeliness, quality, security, and delivery of data

Data Science

Data science services include consulting, supporting, and developing experiments and analytics on companies’ data in search of business and customer insights.

Review the current AI model and optimize it.
Design pipeline architecture for different prediction gaps of the AI model.
Implement Dashboard for model and data drift monitoring.
Implement automated model retraining.
Improve code quality: Write test cases and refactor existing code.

Data Platform Management

Data management services help your companies store, organize and use data securely and efficiently.

Setting up and implement the system architecture for storing structured and unstructured data
Extension of features of the current platform

Machine Learning

Machine learning services include advising on and implementing ML-based software as well as supporting the existing ML initiatives.

Predictive maintenance
Customer analytics

We will tailor our process and solution to your needs!

MLOps Services

Why do you need MLOps services?

Aim to unify the release cycle for machine learning and software application releases.
Enable the automated testing of machine learning artifacts (e.g. data validation, ML model testing, and ML model integration testing)
Enable the application of agile principles to machine learning projects.
Enable supporting machine learning models and datasets to build these models as first-class citizens within CI/CD systems.
Reduce technical debt across machine learning models.

How MLOps services work

Provide Kubernetes Cluster for developing and running ML models,
Provide Infrastructure for:
- - CI/CD: Infrastructure (IaC), models, software services;
  - Centralised elastic storage of data and ML models;
  - Application hosting.
Monitor and alert of the resources health and of the ML models,
Project planning.