AI Mentoring

Advice exactly when you need it.

Our mentors can support you and your team with data science and artificial intelligence questions, without the necessity of hiring a full-time consultant.

A Mentor Is Perfect For You If You Need…

External Know-How to Ensure the Success of Your AI projects.

Our different Mentors have deep expertise to support you in all the questions around your AI project and can support you in areas where you lack in-house expertise.

A More Flexible Solution Compared to a Full-Time Consultant.

Book consultations when questions arise in your project. Or just drop us an email with your questions.

Support for Specific Phases of your Project or Project planning

Book consultations to discuss questions in the beginning of a new project and get a sounding board for your ideas, or book regular calls e.g. in the beginning of a project sprint.

Did you know?

Mentoring sessions take place at regular intervals or as needed via email or video call.

This gives you the flexibility to get advice and support right when you need it.

Resolving AI Project Challenges

Get fast and flexible support whenever you run into complex issues with your AI project.

Validating Project
Plans

Get feedback on your project or sprint plan to keep you on track with your development.

Expert Feedback & Code Reviews

Get expert feedback and code reviews on new project developments.

Pair Programming Sessions

Learn new AI skills in interactive pair programming sessions.

Validating Your Ideas and Business Cases

Use one of our experts as a sounding board for new ideas and business cases.

Advice on Latest AI Developments

Discuss latest AI developments and gain ideas on how to incorporate it into your projects.
Export advice right when you need it

How to Get Started with AI Mentoring

01

Book a Free Introductory Call With the Mentor of Your Choice

We start with a short call to understand your challenges, goals, and expectations. This helps us determine the best mentoring approach for you.

02

Choose the Right Mentoring Option

Based on our discussion, we recommend either one-time support or ongoing mentoring. You decide on the number of hours that fit your needs.

03

Start Your Mentoring Sessions

Once everything is agreed upon, we begin the mentoring. You’ll receive expert guidance, practical advice, and support tailored to your specific challenges.
With over a decade of hands-on experience in data science and AI, I’ve developed a deep understanding of what it takes to build and scale successful AI systems. Whether you’re looking for expert validation on your AI system design, need a trusted advisor to refine your AI project plan, or want to elevate your operations with MLOps, I’m here to help you navigate the challenges and unlock the full potential of your AI initiatives.
My approach is collaborative and practical, ensuring that you not only get answers to your immediate questions but also gain insights that drive lasting impact for your team.
Too many companies get lost in the technical details or are unsure where to begin. That’s why I founded cocreate AI — to demystify AI, offering you a clear, manageable path to success while ensuring you stay on top of the latest innovations.

Expert Knowledge:

  • Machine Learning & AI Model Design and Optimization
  • AI System Architecture (in the cloud)
  • Data Warehouse Design (specializing in Snowflake)
  • Scalable Data Pipelines
  • MLOps / DataOps / AIOps

Simon
Löw

Simon Löw
An experienced Data Engineer, I have worked on various projects, including collecting and processing millions of daily transactions for a major retailer and gathering telemetry data from hundreds of microservices.
For the past three years, my primary focus has been designing, building, and maintaining production-grade, on-premise Kubernetes infrastructure for software deployments and ML workloads. I possess over six years of experience in setting up data infrastructure (e.g., Kafka, Airflow) on Kubernetes.

Coming from a background in software engineering, I’ve had the chance to build programming languages and explore how code can be structured, generated, and optimized. But I’ve also seen how much time teams spend writing boilerplate code — or other texts — over and over again.

Building on that foundation, I now focus on using large language models to automate code and content generation within real business workflows.

Expert Knowledge:

  • Kubernetes
  • Microservices, Observability & DevOps
  • Cloud Data Infrastructure on Azure
  • Kafka
  • LLMs & Chatbots

Christian
Hunger