Computer use AI

COMPUTER USE AI FOR ENTERPRISES

The next leap in automation — beyond APIs, beyond Robotic Process Automation. ML6 brings AI that can use a computer like a human — only faster, smarter, and at scale. 

envato_business women in office with laptop

Make applications work together is hard work.

When your enterprise runs on hundreds of applications, decades of legacy systems, and globally distributed teams, the friction is real. 

  • Integrations take months, sometimes years
  • The APIs you need don’t exist and need to be written
  • Workflows slow down when people have to manually switch between different systems

Computer Use AI

changes the equation.

  • It operates like a human

    Computer use AI can operate a computer like a human — only faster, smarter, and without the limits of human endurance.

  • It’s a bit like magic

    It can see, understand, and act inside your systems — moving the mouse, clicking buttons, reading screens, navigating menus — all without building a single custom integration.

  • You roll out much much faster

    And it does it at enterprise scale, 24/7, with full auditability.

A Few Examples of What It Can Do.

Engineering & Operations

  • Run simulations, export results, and upload to project systems — hands-free
Female programmer working on coding, software development and web design.

How It’s Different from.

Traditional Robotic Process AutomationComputer Use AI
Handles UI changesBreaks easilyAdapts in real time
Reads unstructured dataLimitedText, images, PDFs
Works without APIs⚠️ SometimesAlways
Orchestrates multi-app flow⚠️ Complex, high-codeNatural capability

Become an innovator in months

The stakes couldn’t be higher. In the next five years, Physical AI will decide who leads and who follows in every industry touched by logistics, manufacturing, energy, or physical operations. We want to make sure your company is the one rewriting the rules.

  • Move faster

    Deploy AI agents that respond instantly to real-world changes.

  • Scale smarter

    Multiply capacity without multiplying headcount.

  • Compete decisively

    Execute strategies in the physical world faster than rivals can react.

From Vision to

Deployment—Fast

ML6 Gent Office august 2025-093
  • C-LEVEL ALIGNMENT

    Define the boldest possible business outcomes.

  • RAPID PROOF-OF-CONCEPT

    Deliver measurable impact from the get-go.

  • SCALED DEPLOYMENT

    From single site to global deployment, without downtime.

Unum enterprise Superintelligence 

Forget fragmented agents. We can deploy Physical AI as a fully integrated pillar of Enterprise Superintelligence™. By integrating Physical AI, your organization’s autonomous brain gains the ability to act directly in the physical world.

Secure & Compliant

by Design

When AI can move physical assets and make operational decisions at scale, governance is non-negotiable. ML6’s Physical AI is built on strict, transparent control frameworks that mirror — and often exceed — enterprise and regulatory standards.

  • Role-Based Access Control (RBAC)

    Every agent operates within the exact permissions of its assigned role, ensuring no overreach into sensitive systems or data.

  • Policy-Aligned Decision Making

    Business rules, safety protocols, and compliance requirements are embedded directly into the decision logic of every AI agent.

  • Full Audit Trails

    Every action, from sensor reading to robotic movement, is logged in real time for audit, investigation, and continuous improvement.

  • Regulatory Alignment

    Designed to meet and adapt to standards such as ISO 27001, SOC 2, GDPR, NIS2, and industry-specific regulations (e.g., GxP in pharma, IATF 16949 in automotive).

  • Human-in-the-Loop Safeguards

    For high-risk scenarios, human approval is required before execution, with clear escalation paths.

  • On-Premise & Sovereign Deployment Options

    Maintain data residency and operational sovereignty in any jurisdiction.

Niels Rogge
Niels RoggeML Engineer

From Boardroom Insights 
to Shopfloor Floor Execution — Instantly

Niels Rogge
Niels RoggeML Engineer