Artificial Intelligence and MLOps Consulting

Transform your data into smart applications. We support you from conceptualisation and prototyping through to deployment during ongoing operations and establish a sustainable MLOps culture.

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  • Experienced consultants and ML engineers
  • Customised solutions for maximum ROI
  • One step ahead with the state of the art technology

Why does your company need our artificial intelligence and MLOps consulting?

The rapidly increasing demand for data-driven solutions makes a structured and efficient development process indispensable. With artificial intelligence and MLOps, you can create automated workflows that seamlessly combine model development, data processing and deployment. This lays the foundation for sustainable growth and rapid innovation in your company.

3 steps to a customised AI solution

We accompany you from the idea to the go-live and ensure that your ML infrastructure is stable, performant and scalable right from the start.

Our tried-and-tested approach guides you step by step towards a future-proof AI architecture with MLOps and fully automated deployments.

Workshop

Datenanalyse Workshop Enari

Together, we clarify your needs, analyse existing data sources and define clear goals. This is how we lay the foundation for AI development, preprocessing and possible use cases.

  • Recording the current situation (data, technology stack, processes)
  • Goal definition for the use of artificial intelligence
  • Roadmap for the introduction or optimisation of your MLOps strategy

Architecture Design & Implementation

Datenanalyse Prozess Enari

Based on the findings from the workshop, we develop a customised AI architecture. We set up CI/CD pipelines, automated pre-processing workflows and ML pipelines so that you can move quickly and reliably from an idea to a fully developed model.

  • Prototyping & model development for initial valid results
  • Automated pipeline set-up including data preparation and model training
  • Integration into existing systems (cloud, on-premise or embedded)

Deployment, Monitoring, Continous Improvement

Datenanalyse Report

After successful piloting, we implement your AI solutions productively. MLOps methods ensure that models are continuously updated, monitored and improved where necessary - for the best possible ROI.

  • Deployment in productive environments with automated CI/CD
  • Monitoring & model management for tracking quality and performance
  • Continuous optimisation based on real-time data and user feedback

Reporting from the field

We support you at every stage of your individual data journey - from the first data assessment management reports, through the selection of the right visualisation tool, such as Power BI or Tableau, to the creation of initial prototypes and the final implementation and completion of your dashboards.

Datenanalyse Report Beispiel
  • Detailed description of objectives and metrics
  • Description of our data analysis process
  • Detailed visual preparation of the data
  • Comprehensive compilation of the next steps

Why Enari?

With our expertise, we utilise the full potential of your data to streamline processes, improve decision-making and increase the success of your company.

Industry experience

  • Manufacturing and retail
  • Sport and e-bike
  • Automotive
  • Banking and Finance

White-Label Solutions

  • Your brand remains in the foreground
  • Customised solutions
  • Personalised branding
  • Scalable and modular design

Platform agnostic

  • Cloud Platforms (Azure, AWS, GCP)
  • On-Premise Solutions
  • Hybrid Environments
  • Embedded Solutions

More about Artificial Intelligence and MLOps

Your contact

How may we help you?

Bastian Knaus

Co-Founder & COO

bastian.knaus@enari.com

+49 176 666 78 033

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