Contact
AI Engineering

BUILD YOUR BOLD VISION WITH SOLID AI.

For technology leaders like you, the challenge is no longer if AI can create value—it’s how to make it enterprise-ready, scalable, and future-proof. That’s where ML6 comes in. We combine technical excellence with scalable engineering to solve your toughest challenges and build your boldest ideas.

Zoom in for code

How we bring your
vision to life?

At ML6, we don’t stop at prototypes. We engineer AI solutions that work reliably at scale, integrate with your enterprise stack, and continue to deliver value long after deployment.
  • Focus on Business Impact

    Our primary aim is to ensure our AI solutions drive tangible value and actual utilization within your core business activities.

  • Deep AI-native expertise

    We combine deep technical expertise with pragmatic delivery to design, deploy, and run secure AI solutions that accelerate your strategy, unlock your data, and deliver business impact.

FIRST, WE 
MAKE A PLAN.

Software engineers working on project and programming in company. Startup business teamwork concept By nd3000_SQ0

AI Business Advisory: We help you turn your AI vision into impact— pinpointing high-impact use cases and guiding people, governance, and architecture to accelerate execution.

Read more

AI Technical Advisory - We help your teams make the right AI, data, and cloud decisions—building robust, future-proof solutions that deliver value from day one.

Read more

THEN WE
BUILD.

AI lives or dies by data—so we start there. From there, we design and optimize systems you can rely on for business-critical performance. We focus continuously on improving performance. We ensure your AI integrates seamlessly into existing systems—strengthening rather than disrupting operations.  All this with enterprise-grade security, built in from day one.

ML6 Amsterdam Office september 2025-28

Source internal and external datasets with a focus on usability and relevance. Where needed, we can create synthetic data.

Label data efficiently with a mix of automation, tooling, and managed services.

Apply anonymization and pseudonymization to ensure compliance and enable safe cloud processing.

Implement rigorous data quality management and augmentation techniques to strengthen training sets.

Set up cloud-native data warehouses on Azure, AWS and Google Cloud Platform that serve as scalable, AI-ready backbones.

ML6 Gent Office august 2025-038

TEST, DEPLOY
& SCALE.

Once an architecture is built, the real challenge begins — getting it into production at scale. We ensure that our AI doesn’t stall at the proof-of-concept stage.

We implement Continuous Integration (CI) and Continuous Delivery/Deployment (CD) pipelines, retraining loops, monitoring, and governance frameworks that make AI production-ready and sustainable.

RUN & MAINTAIN 

AI isn’t a one-off project—it’s a living system that requires monitoring, optimization, and support.

  • We provide secure, cloud-native hosting and continuously track model performance, retraining as needed to maintain accuracy and reliability
  • Managed services on AWS, Azure, and Google Cloud Platform
  • Whether your strategy is single-cloud, multi-cloud, or hybrid, we deliver managed services on the world’s leading platforms, always aligned with enterprise standards

100% custom

Your strategy isn’t
off-the-shelf.
Neither is our AI.

With us, there’s no "that’s not part of the product vision” and no awkward “we don’t integrate with that.” Our AI is built the way your company actually runs, not the way a product manager thinks it should. Every solution is tailor-made to fit your strategy and company like a glove—no compromises, no roadblocks, no missed opportunities. Just the exact intelligence your organisation needs to move faster, smarter, and stronger.

Why ML6?

When the margin for error is small, you need a partner with the correct depth, experience, and mindset.

  • Visionary leaders love us

    From BASF and Randstad to Sappi and Walmart, global enterprises rely on ML6 to deliver AI that works—technically and strategically. We have 13 years of AI native experience and have deployed over 450 complex use cases. Our customers give us an average 9/10 NPS score. Many have done several projects with us.

  • We Lead in AI

    We’re the ones who do, not just talk. You benefit from top-tier AI engineering rooted in deep technical knowledge that is 3–5 years ahead of the market. For example, we launched our first GenAI solution in 2019 and continue to lead in complex deployments. We go beyond the hype to deliver future-proof solutions aligned with your business DNA.

  • Depth & expertise

    Over 90% of our team holds a Master’s degree or a PhD. They also allocate 17% of their time to testing emerging technologies. We’re advanced partners across all major cloud platforms, having direct access to engineers at AWS, Azure, Google Cloud Platform, and OpenAI—bringing the latest tech to your business, responsibly.

  • Value-first, co-creative approach

    We work side-by-side with your team to align business and tech, focusing on the few initiatives that truly move the needle. Our agile team model combines a stable core with just-in-time expertise.

Get
inspired

Stay in the loop with stories from our team, success cases from our clients, and news on what we’re building behind the scenes. Whether it's a deep dive into the latest in AI, a behind-the-scenes look at a real-world implementation, or product updates we’re proud of — here’s what’s been happening lately.

  • From Prompts to Production: What Is an Agentic Workflow?
    Blog
    Agentic AIAI DropsAI Models

    From Prompts to Production: What Is an Agentic Workflow?

    Executive Summary Agentic workflows are AI-driven systems designed to reason, plan, and act autonomously across complex tasks and environments. Unlike prompt-based interactions or deterministic automation, they coordinate multiple AI agents, tools, and feedback loops to achieve high-level goals under uncertainty. This article introduces the core components of an agentic workflow, explains how autonomous AI agents operate within them, and clarifies when agentic approaches are appropriate for production AI systems.

  • Multi-Agent AI Systems: Where They Shine and How They Work Together
    Blog
    Agentic AIAI ModelsLLMOps

    Multi-Agent AI Systems: Where They Shine and How They Work Together

    Executive Summary The field of Artificial Intelligence is in a constant state of evolution. For years, the focus was on building a single, powerful model capable of tackling any task thrown its way. But as the complexity of our problems grows, it's becoming clear that a lone genius, no matter how brilliant, can be outmatched by a well-coordinated team of specialists. This is the paradigm shift that brings us to multi-agent AI systems. A Multi-Agent System (MAS) is a team of specialized AI agents that collaborate to tackle complex problems. Use a multi-agent system when your challenge involves multiple tasks, dynamic environments, or specialized expertise that require agent coordination and agent communication. For simpler or well-defined workflows, a single intelligent agent or structured agentic workflow is often a better, faster, and more cost-efficient choice. The golden rule is to use the simplest setup that effectively solves your problem.

  • AI engineering paris
    Blog
    Agentic AIAutonomous AILLM Engineering

    MCP and AI Agents: The Next Big Shift in Engineering Workflows

    Executive Summary ML6 went to the AI Engineer summit in Paris. We are confident that agents will remain a vital part of the industry, and MCP will be at the forefront of this trend. While MCP adoption is skyrocketing, its potential remains heavily underutilized. And while many agent projects are still explorative, those that find a suitable use case can radically transform their processes through iterative engineering.

Jeffrey Hagen 2
Jeffrey HagenHead of DnA

LET’S BUILD YOUR AI VISION.

At ML6, we’ve partnered with the world’s most ambitious enterprises to build their AI vision together. Let's use AI to turn your business strategy into operational impact today.

Let's schedule a talk
Jeffrey Hagen 2
Jeffrey HagenHead of DnA