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AI-Native Engineering Delivery

AI-NATIVE BY DESIGN. PRODUCTION-READY BY DEFAULT.

Designing around AI and for AI from day one isn't a nice-to-have; it's what sets you apart. It's what will unlock real innovation: when AI shapes the architecture from day one, you can build what competitors can't. Rethink what your AI solutions can do.

Define your AI strategy first
Define your AI strategy first
water-extreme-sport-the-guy-is-flying-at-the-aqua-2026-03-09-01-50-37-utc
14y

AI EXPERTISE

400+

ENTERPRISE AI PROJECTS DELIVERED

9/10

AVERAGE NPS SCORE

140+

AI-NATIVE EXPERTS

12wks

AVERAGE TIME TO VALUE

AI-assisted is not AI-native.
And that gap matters a great deal.

Rethink your business model.

AI-native engineering is the practice of building software with AI by optimizing the context provided to AI at every stage of the software development life cycle. The whole system is designed around it—it's not just an AI layer that is bolted on afterward.

Think of the shift to mobile websites. Early on, companies shrank their websites into "mobile-friendly" versions: the same thing, but smaller. The winners, Uber and Instagram, built products that could only exist because a phone has GPS and a camera. AI-native engineering works the same way. You don't shrink the old process.

AI-assistedAI-native engineering
The workflowUnchanged; AI helps at the edgesRedesigned around AI, end to end
The engineer's roleWrites; AI autocompletesOrchestrates, specifies, validates
ContextRe-explained every promptEngineered once, best practices used by all
Order of workBuild first, document laterSpecify first, build from it
Best practicesBolted on at reviewBuilt in from day one
Where the gain landsIndividual productivitySystem & organizational productivity

The ML6 approach

THE 4 essential parts We use in every project.

Fourteen years building enterprise-grade, secure, governed AI leaves a mark: a hard-won library of what actually works. We've bundled it all into foundations that ship with every project. AI is embedded across every phase of your software delivery. Your first proof of concept already stands on a decade and a half of best practice. Solid engineering + speed to market = you outrun the competition. 

01 / 04

Engineering foundation

Nimbus

Our unique ML6 engineering foundation is built on 14 years of AI experience. We made the right way the default: best practices and lessons are shaped into engineering foundations. It provides a kickstart for projects and engineers. Nimbus enforces security from day one.  It includes secure-by-default infrastructure, a proven repo structure, and shared context that both humans and agents can read from.

02 / 04

Delivery model

AI Pods

A lean AI-native core that already knows your context. Your team also gets on-call access to engineers who push the boundaries of what is possible with AI, setting new standards along the way and achieving optimal delivery efficiency.

03 / 04

Engineering blueprint

unum logo horizontal website

Unum is an enterprise AI infrastructure platform that autonomously identifies IT and software-delivery priorities and executes them through governed, human-approved agent workflows, while keeping every action auditable, policy-controlled, and owned by your organization.

Discover Unum

04 / 04

Method & Mindset

AI-native way of working

Delegation over doing. Context as infrastructure. Default-to-AI for research, drafts, and boilerplate; human judgment for direction, relationships, and accountability. Iterative loops with agents that handle multi-step work while engineers review outcomes.

AI-native way of working
ML6 Berlin October 2025-07

You stay in charge.

The goal isn't maximum automation; it's the right automation, matched to the stakes of each step. AI drafts, generates, and accelerates. You decide if the AI owns the outcome, or your team does. Your engineers stay accountable for architecture, security, and every line that carries their name, so your team keeps full mastery of what ships.

  • Mandatory sign-off

    Human in the loop—Nothing ships without approval. Used for prototypes, specifications, and the core build, where being wrong is costly.

  • Monitor and intervene

    Human on the loop—While the AI runs; a human watches and can step in. Used for testing, security scanning, and delivery reporting at scale.

  • Set the boundaries

    Human in command—The human owns the policy and can intervene at any moment. The AI acts with real autonomy inside a frame you control.

Five core principles 

AI drafts; your engineer decides and owns every line that carries their name.

Your outcome.

  • Value in weeks, not quarters

    Work starts ahead of a traditional week one, on quality defaults and reusable assets. You see working software every sprint and real use cases shipped at a reliable, repeatable pace.

  • We leave your team stronger

    Your engineers pair with ours and own what gets built. We don't just hand over code; we transfer the capability to extend it. Your team is stronger when we leave than when we arrived.

  • Trust built in by design

    Documented decisions, traceable changes, security review and evals baked into the build, not bolted on at a gate afterward. Every automated workflow has a named human owner.

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.

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