Operational AI for European businesses

Mission-ready AI.

Creo deploys agentic services, data pipelines, and sovereign cloud foundations for organizations that need command, control, and trust.

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Services

Concrete capabilities, scoped for deployment.

Creo is for teams that already know AI matters, but need help turning the idea into a controlled capability with owners, assets, telemetry, and a path to production.

Agent fleets for operational command

Design and build AI agents assigned to specific workflows: customer operations, sales support, internal knowledge work, compliance intake, or technical service desks.

  • Use-case selection and workflow mapping
  • Tool-using agents with approvals and audit trails
  • Retrieval, document handling, and human handoff
  • Production deployment with quality and cost telemetry

Operational data pipelines and AI-ready platforms

Turn scattered operational data into trusted inputs for analytics, automation, and machine learning. The work is engineering-led, observable, and maintainable.

  • Asset integration and event-driven ingestion
  • Transformation, lineage, and data quality checks
  • Feature stores, vector indexes, and model context layers
  • Runbooks and transfer to internal command teams

Data security and sovereign deployment strategy

Help organizations adopt AI while staying clear about data classification, access, residency, vendor risk, and European cloud options.

  • Data classification and AI risk assessment
  • Secure reference architectures for sensitive workloads
  • Sovereign cloud and hybrid deployment planning
  • Command controls for agents, models, and datasets

How it works

Small senior unit. Clear scope. Deployment bias.

The point is not to promise transformation in the abstract. The point is to pick one valuable operational problem, build the missing system, and leave the organization more capable than before.

01

Select the target

Identify where AI or data engineering can remove friction, reduce risk, or improve decision quality in a real workflow.

02

Design command and control

Define users, data boundaries, approvals, security controls, success criteria, and what the internal team will command.

03

Deploy the first capability

Ship a focused system connected to live tools and data, with evaluation, telemetry, and rollback paths.

04

Harden the asset

Document, train, secure, and improve the system until the client can run it with confidence.

Deployment fit

Creo is strongest where AI enters regulated operations.

The sweet spot is not a generic chatbot demo. It is the space where workflows, legacy systems, sensitive data, procurement, regulation, and human accountability all have to operate under one command structure.

Typical starting briefs

Common entry points where Creo can turn an unclear AI ambition into a controlled deployment plan.

01
Agent requestA business unit wants an agent but does not know how to make it safe, useful, and accountable.
02
Data readiness gapA data platform exists, but the pipelines are too fragile for AI use cases.
03
Sensitive asset concernLeadership wants AI adoption without sending sensitive assets into the wrong environment.
04
Sovereign cloud questionA European organization needs a pragmatic deployment strategy that respects data sovereignty.

Rules of engagement

How Creo builds systems that clients can see, secure, scale, and keep under command after the consultants leave.

01
Maintain operational visibilityKeep architecture, data flow, model behavior, and control points visible from the start.
02
Secure command boundariesBuild access control, residency, auditability, and approvals into the operating model.
03
Deploy for scaleDesign services to add capacity under load with autoscaling, load balancing, and clear performance limits.
04
Prepare for disruptionDesign backups, recovery paths, and multi-zone deployment so critical data and services can be restored.

Team

Senior operators for AI, data, and cloud deployment.

Creo brings strategy, enterprise AI delivery, and cloud platform engineering into one command room.

Alberto Díaz Souto

Alberto Díaz Souto

Co-founder and CEO

Enterprise transformation leader focused on change management, digital programs, and executive AI adoption.

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Muhammad Umar

Muhammad Umar

Co-founder and CPTO

AI delivery lead focused on agentic systems, ML products, MLOps, and production-grade AI platforms.

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Artti

Artti

Strategic instigator

Platform engineering support for secure deployment, automation, infrastructure, and resilient cloud operating models.

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Work with Creo

Let us take on your AI, data, or cloud challenges.

hello@creo.ai