MLOps is a new approach to data management that combines the best of both worlds: The power of machine learning and the human touch.

MLOps is a new approach to data management that combines the best of both worlds: the power of machine learning and the human touch. It’s a way for you to leverage machine learning without having to be an expert in it. It’s a way for you to get more out of your data without having to spend more on it. And it’s a way for you to get more out of your people without having them spend more time on it.

Your advantages of MLOps at Datics

Enable the automated testing of machine learning artifacts (e.g. data validation, ML model testing, and ML model integration testing).

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.

Enable the application of agile principles to machine learning projects.

Resource Planning

Client responsibilities:
  • Build and train ML models
  • Build data pipelines
  • Develop data ingestion pipelines.
  • Data Scientist
  • Data Engineer
  • Product Manager

  • Build and train ML models
  • Build data pipelines
  • Develop data ingestion pipelines.
  • Data Scientist
  • Data Engineer
  • Product Manager
Datics provides:
  • Kubernetes Cluster for developing and running ML models,
  • Infrastructure for:
    – CI/CD: Infrastructure (IaC) models, software services – Centralised elastic storage of data and ML models – Application hosting
  • Project planning
  • Monitor and alert of the resources health and of the ML models
  • Project Manager
  • Solution Architect
  • DevOps Engineer
  • Software Developer
  • IT Security
  • Tester
  • Reserve Team – Data Engineer – ML Engineer

  • Kubernetes Cluster for developing and running ML models,
  • Infrastructure for:
    – CI/CD: Infrastructure (IaC) models, software services – Centralised elastic storage of data and ML models – Application hosting
  • Project planning
  • Monitor and alert of the resources health and of the ML models
  • Project Manager
  • Solution Architect
  • DevOps Engineer
  • Software Developer
  • IT Security
  • Tester
  • Reserve Team – Data Engineer – ML Engineer

Project Planning

1. Conceptualization
  • Requirements gathering
  • Use case conceptualization
  • Creation of features and stories
  • Prioritization
2. Proof of Concept
  • Definition of technology stack
  • Development and implementation
  • Data collection
  • Testing
  • Documentation
3. MVP
  • Definition of new functionalities and features to improve
  • Prioritization
  • Development and implementation
  • Data collection
  • Testing
  • Documentation
4. Production release
  • Use case refinement
  • Development and implementation
  • Data collection
  • Testing
  • Documentation
  • IT security concept and implementation
1. Conceptualization
  • Requirements gathering
  • Use case conceptualization
  • Creation of features and stories
  • Prioritization
2. Proof of Concept
  • Definition of technology stack
  • Development and implementation
  • Data collection
  • Testing
  • Documentation
3. MVP
  • Definition of new functionalities and features to improve
  • Prioritization
  • Development and implementation
  • Data collection
  • Testing
  • Documentation
4. Production release
  • Use case refinement
  • Development and implementation
  • Data collection
  • Testing
  • Documentation
  • IT security concept and implementation

How we will manage your feedbacks?

Bi-weekly sprints
Agile Environment
Create milestones
Epics & Features

Small Buisness Grow Fast with Our Consulting Services

Why you should work with Datics

Our purposes are not just delivering a perfect solution for our clients, but also experienced and knowledgeable experts.

Solution Customization

We provide client-focused solutions and experienced experts to deliver customized IT infrastructure services.

Technology Coverage

We provide comprehensive Infrastructure and Data Consulting Services of IT infrastructure and data management.

Experienced Consultancy

Our consultants possess a wide range of certifications and have extensive project experience, to provide expert advice and guidance.

Rapid and Trusted Delivery of Services

Our primary guiding principle is to provide our clients with the highest level of support possible.

Our Certifications

Why don’t we talk business?

Get in touch with our experts and start your journey towards business evolution, innovation and profitability. Upgrade your company with our cutting-edge IT infrastructure and data management services. Contact us today to schedule a consultation.


    Case Studies

    Case Studies that may interests you

    Big Data

    Industry: Medical Technology

    Technologies: Azure Kubernetes service, Terraform, Azure DevOps pipeline

    The client must store vast amounts of data in various formats from multiple sources in a unified data platform, accessible to machine learning engineers and data scientists within the organization for the development of machine learning applications and data analysis.

    Automation in Banking systems

    Industry: Automotive

    Technologies:Java, Spring Boot, Java Persistence API(JPA), Hibernate

    The client needs automation for manual procedures in handling bankrupt clients, as well as for document management and payment recommendation platforms.

    Design and establish Voice AI system

    Industry: Automotive

    Technologies: Azure Functions, Github Actions, Python | Flask | Pytest, Microsoft LUIS

    We developed a voice-based AI system utilizing voice recognition and natural language processing to communicate with customers in a car.

    Full Body Anonymization

    Industry: Medical Technology

    Technologies: Gluoncv, opencv, decord and Python

    A client in the medical technology industry has a requirement to protect the anonymity of individuals whose images or videos are being used.

    Azure Cloud Monitoring

    Industry: Medical Technology

    Technologies: Grafana, Prometheus, Azure Monitor, TorchServe, Docker

    The medical technology client aims to deploy their machine learning models on Azure cloud for active use by consumers.

    Tech Talk 1:
    DataOps – When DevOps meets data processing

    Data is crucial in today's world, as all industries and businesses rely on it. Data must undergo processing before humans or machines can understand and analyze it, as raw data is either unreadable or unstructured.

    Industries we support

    • IT IT
    • Automotive Automotive
    • Banking Banking
    • Energy Energy
    • Logistics Logistics
    • Public Sector Public Sector

    CAREER

    Be the change with us!

    As a successful IT startup, we offer a wide range of services that provide exciting and challenging projects. Our company culture is built on a strong team spirit and an innovative management approach, and we also offer the flexibility of remote work. Join our team and take on exciting projects while also enjoying a supportive and dynamic work environment.

    Good working atmosphere with an open feedback culture

    Good working atmosphere with an open feedback culture

    complete remote work with modern technical equipment

    complete remote work with modern technical equipment

    High learning curve with professional development

    High learning curve with professional development

    Shape your future with us

    Shape your future with us