Automation, AI agents and private models that run where you choose: on your servers, in a private cloud or in a hybrid setup. Implemented by the same team that has designed and operated critical infrastructure for 25 years.
Most business AI projects come down to connecting your systems to an external service and sending it your information. It works in a demo, but leaves questions unanswered: what data leaves, where it ends up, who sees it, and what happens if that provider changes its terms.
We come from the backstage of the digital world: data centers, complex networks and infrastructure that cannot fail. That is why our AI is not a plugin you install. It is a layer that demands order, security and solid infrastructure, and it stays documented, auditable and under your exclusive control.
AI is the new tool. The IT that supports it is what we have been doing for 25 years.
We start from a concrete problem in your operation, not from the trendy tool. Every solution is measured against a result agreed before we begin.
Repetitive tasks that eat up your team’s hours today, handled by workflows that read, classify and act on information.
Assistants that query and operate your real tools —ERP, CRM, databases, email— with defined permissions and a log of every action.
Language models that run on your infrastructure or in a private cloud. Your data never leaves the perimeter and is not used to train third-party models.
Before AI comes organized data. We integrate your sources, clean up the information and build dashboards that show what matters for decisions.
We build the whole circuit inside the perimeter we already protect. Based on volume, data sensitivity and budget, we propose the setup that fits.
The model runs on your company’s servers. Maximum control, ideal for sensitive or regulated information.
Dedicated infrastructure, with no resources or data shared with other clients. No upfront hardware investment.
Sensitive data stays inside; the rest can use external services under defined controls.
Nothing that isn’t agreed. Your data is not shared with third parties or used to train models.
A process designed so you never invest in AI blindly.
We learn your operation, your systems and where AI can deliver a concrete result.
We review where the data lives, who has access and where the solution will run.
One use case, a success metric agreed in writing and a defined timeline.
What works goes into production with 24/7 monitoring and a named person in charge.
Documentation, audits of access and model usage, and adjustments as it grows.
We were born almost alongside the internet in Argentina and changed with every wave: broadband, virtualization, cloud, data. Today we lean heavily on AI, and we can put it into production because we were already operating the infrastructure it runs on.
Every implementation goes through the same cybersecurity controls we apply to critical infrastructure.
We design with data protection law in mind —Argentina’s Law 25,326, the GDPR in Europe— and frameworks such as ISO 27001.
A person with a name, with response times set by contract.
It is an AI model that runs on infrastructure your company controls —your own servers or a dedicated private cloud— instead of a shared public service. The information it processes never leaves that environment, and you decide who has access, what gets logged and how long it is kept.
No. In Del Security implementations your data is not shared with third parties or used to train models. With a private model, the information never leaves your perimeter. If a hybrid setup uses an external service, what information may leave and under what conditions is agreed in writing.
With a concrete, measurable problem, not with the tool. The usual approach is to pick a repetitive process that eats up team hours today —document entry, answering inquiries, building reports— and solve it with a focused pilot. If it delivers, it scales. To identify that first case we offer a free assessment meeting.
Public tools are useful for individual tasks, but they don’t know your systems, can’t act on them, and process information on third-party servers. A custom implementation integrates with your ERP, CRM, databases or documentation, works with defined permissions, logs every action and can run in a private environment.
Not necessarily. It depends on usage volume, the size of the model you need and how sensitive the data is. Sometimes owning the hardware makes sense; other times a dedicated private cloud or a hybrid setup is better. We size it during the assessment, before you have to invest.
The key is knowing what personal data the solution processes, where it is processed and who has access. That is why we design every implementation with documented data processing, controlled access and the option to run everything inside your infrastructure —whether the framework is Argentina’s Law 25,326 or the GDPR. Our Audit, Risk and Compliance service also extends IT control assessments to the AI models your company adopts.
It depends on the use case, the state of your data and where the solution has to run. That is why we don’t sell fixed packages: after the assessment we give you the pilot’s scope, timeline and cost in writing, together with the metric that will define whether it worked.
Yes. We are based in Buenos Aires and work with companies in any country: Latin America, Europe or wherever your operation is. Most of the implementation is done remotely and, when the project requires it, we travel for on-site work, as in recent projects in Germany. We work in English and Spanish.
If you are a plumber, painter, electrician, builder, detailer or work on your own, you don’t need infrastructure: our assistant answers inquiries, quotes, books visits and passes you what matters.
We’ll set up a free, no-obligation assessment meeting to understand your real situation before proposing anything.