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Mat Siems: AI Agile Automation

Welcome to the future of business efficiency. At AI Agile Automation, we blend cutting-edge artificial intelligence with agile methodologies to revolutionize your operational processes. Experience a new era of productivity and innovation.

AI Agile Automation: Empower Your Business with Smart Automation and Agile Excellence

MS is founded on three pillars: Adoption, Integration, and Customization, or AIC.

  • We begin with Adoption, educating and guiding businesses through the ever-evolving landscape of AI technologies like GPT-4 and DALL·E-3.
  • Next, we step into Integration, where we skillfully weave AI into your existing systems using OpenAI's APIs, enhancing your workflow seamlessly.
  • Finally, for those ready to leap into the forefront of innovation, our Customization phase offers bespoke AI solutions, tailoring models to your unique needs using advanced tools like PyTorch.

We now stand at a pivotal point. It's no longer just about Web 2.0 or even the emerging trends of blockchain and crypto. It's about harnessing the potential of AI to revolutionize how we interact, operate, and grow. At Mat Siems, we're not just adapting to this new wave; we're leading it. Let's embark on this journey together, leveraging AI to unlock unprecedented possibilities for your business.

3 Pillars

Focuses on three core areas: Adoption, Integration, and Customization, or AIC for short.

  1. Adoption: This is where you introduce the concept of AI, focusing on familiarizing businesses with technologies like GPT-4, DALL·E-3, and Gentriff AI. It's about creating awareness and understanding of what's available and how it can be relevant to them.
  2. Integration: This step is about implementing AI into existing systems. You'll be using APIs, particularly OpenAI's, to incorporate large language models and other tools like DALL·E-3 into clients' workflows. It's a practical, hands-on approach to make AI a functional part of their operations.
  3. Customization: The most advanced level, where you help businesses create their own AI models from scratch using tools like PyTorch. This is for clients who are ready to move beyond off-the-shelf solutions and develop something tailored specifically to their needs.

Our Solutions

  • Smart Automation Tailored to Your Needs
  • Data-Driven Insights: Harness the power of AI to unlock valuable insights from your data.
  • Custom Automation: From routine tasks to complex workflows, our AI solutions adapt to your unique business challenges.
  • Seamless Integration: Easily integrate our AI tools with your existing systems for a smooth transition to smarter automation.
  • Agile Methodology for Rapid Results


  • Flexibility and Adaptability: Embrace change with our agile approach, ensuring your business stays ahead of the curve.
  • Continuous Improvement: Benefit from iterative development and regular feedback, leading to constant enhancement of your automation tools.
  • Collaborative Approach: Work closely with our team for tailored solutions that truly understand and meet your business objectives.

Why Choose AI Agile Automation?

  • Expertise: Leveraging extensive experience in AI transformation and agile processes.
  • Customization: Every solution is crafted to fit your specific business context and objectives.
  • Scalability: Grow and adapt with solutions that scale as your business evolves.
  • Security and Compliance: Prioritizing the security of your data and adherence to industry standards.


  1. Data Management with MongoDB: As an AI consultant, you can use MongoDB effectively for handling large datasets which are common in AI projects. Its flexibility in handling diverse data types is a huge plus.
  2. API Development with FastAPI: FastAPI can be your go-to for creating efficient, high-performance APIs necessary for AI applications. Its asynchronous features are particularly beneficial for handling AI model requests that might require longer processing times.
  3. Front-end Integration: Using Jinja2 templates and JavaScript, you can build interactive front-ends for AI applications. This is crucial for making AI tools user-friendly for clients who may not be tech-savvy.
  4. Containerization with Docker: Docker will be invaluable for creating consistent environments for AI models. It ensures that your AI applications run smoothly across different platforms and systems, a common challenge in AI deployment.
  5. Cloud Deployment on AWS EC2: AWS EC2 provides a robust and scalable environment for hosting AI applications. It offers the computational power needed for processing AI tasks, and with your experience, deploying on AWS should be a breeze.

About Mat Siems

I'm Mat, the driving force behind Mat Siems AI consultancy. With over fifteen years in agile tech, I've developed a diverse range of products from cutting-edge AI applications to dynamic web and mobile apps, integrating databases and external APIs for robust e-commerce solutions. Now, I'm channeling this expertise into Maxiem, focusing on the transformative power of AI.