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Yaju AS
Sign in
Book demo

Platform

  • Agent Orchestration System

    Building agents is easy. Operating should be too.

  • Software Factory

    Turn your backlog into review-ready code

  • Agent Hub

    Browse, run, and share agents


Functionalities

  • AI Governance

    Policy enforced at the moment of action

  • AI Observability

    Observe and trust every agent

  • Token Monitoring

    Make every token count

  • Optimizer

    Same outcomes, lower cost

  • AI Spend Explorer

    Find overspend in two minutes


Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions


Featured

Choosing a model is an operations decision, not a benchmark decision

Use Cases

  • Cost Control

    Know what agents cost. Prove what they deliver.

  • AI Transformation

    Turn AI adoption into business transformation


Deployment

  • Credential Vault

    Org-level secrets, resolved at runtime

  • Self-hosted

    Run agents in your own environment


By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing


Featured

Running agents on hardware you own

Discover

  • Customer Stories

  • Partners

  • Yaju Labs

    Yaju Agent Systems research lab


For Learners

  • Versions

  • Agent Academy


Featured

Support triage is the best first agent most teams never build

Content

  • Blog

    The latest from Yaju, launches, and insights


Explorations

  • Future(s) of Work

    How will AI change the way we work?

  • Oran Models

    The generation teams run today


Initiatives

  • Scholars Program

    Finding the next generation of agent builders

  • Open Development Community

    Building agent tooling in the open

  • Catalyst Grants

    Backing ambitious work on agents


Featured

The future of work debate has an evidence problem
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Governance

Running agents under EU data rules without pretending it is simple

Operating an agent platform from Barcelona means the data protection questions are not an export concern, they are the default condition. Here is how we have built around them and where the genuine difficulties remain.

Yaju Team · 9 July 2026

Plenty of vendors treat European data protection as a compliance appendix. We operate from Barcelona, so it is simply the environment, and the design follows from it rather than being retrofitted.

That does not make it straightforward. It makes it familiar, which is different.

The distinction that causes most confusion

Data protection law separates a controller, who decides why and how personal data is processed, from a processor, who acts on a controller's instructions.

For data about our own customers, we are the controller. For the content our customers send through the platform, they are the controller and we are the processor. Those are different obligations, and conflating them produces both over-promising and under-delivering.

Practically: if an individual asks us to delete data that a customer put into the platform, the request belongs with that customer, and we tell them so rather than acting unilaterally.

Transfers are avoided rather than papered over

The usual approach is to process wherever is convenient and cover the transfer with contractual clauses. That is lawful and it is not our default.

Our default is processing inside the European Union, with Barcelona as the primary region, which removes the question for most customers rather than answering it. Where a contract requires a specific location, processing can be pinned to it. Where a transfer outside the EEA is genuinely unavoidable, it is covered by the Standard Contractual Clauses together with encryption at rest and in transit and role-based access control.

Agents create a retention problem that documents do not

A traditional system stores what you put in it. An agent system also stores what it did: the plan, the intermediate steps, the tool calls, the audit trail.

That record is genuinely necessary. It is what makes governance possible and what answers a regulator eleven months later. It is also personal data when it concerns identifiable people, and it accumulates faster than anyone expects.

Our position is that audit data is retained for the period needed to meet legal and contractual obligations and then deleted or irreversibly anonymised, and that customers can see what is held rather than having to ask.

We do not train on your data

This is short because it should be. Content that passes through the platform is not used to train models. It is not a setting you have to find and disable.

Where the difficulty actually remains

Two places, honestly.

The first is data minimisation in a retrieval system. An agent works better with access to more context, and data protection asks you to process the minimum necessary. Those pull in opposite directions and the resolution is a judgement about scope rather than a technical control. We help by making access boundaries enforceable, but the decision about what an agent should reach is the customer's.

The second is explaining an outcome. The right to understand a decision is easier to satisfy for a rules engine than for an agent that assembled a plan across several steps. A complete audit trail is the best available answer and it is a record of what happened rather than a simple explanation of why.

Saying otherwise would be tidier and less true.

Next

The Privacy Notice covers our own processing, and the Trust Center covers subprocessors, transfers and security reporting. Data processing agreements and questionnaires can be requested at contact@capconsultor.eu.

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Running agents under EU data rules without pretending it is simple | Yaju