MiTSoftware and NAiOS: Strategic Alliance for AI Orchestration
Some agreements announce an intention. Others solve a concrete problem. The one MiTSoftware signed on August 28, 2026 in Barcelona with NAiOS, the AI orchestration platform from Netretina AI, clearly belongs to the second group. The goal is to accelerate the adoption of corporate and industrial AI across Spain and the rest of the European Union, without asking any company to abandon the systems it already has running just to get started.
If your company has spent years operating on an ERP, a CRM, or an established plant system, you probably recognize the situation: everyone talks about AI agents and automation, but few explain how to connect that to SAP, Salesforce, or the PLC controlling a production line without months of development work. That's the gap this alliance is built to close.
In practice, most companies aren't choosing between "adopting AI" or "not adopting it." They're choosing between adopting it in an orderly way, on top of infrastructure they already know and control, or doing it through disconnected tools that end up creating more information silos than they solve. That second path is exactly what this alliance is designed to avoid.
Custom engineering, now with an AI orchestrator
MiTSoftware is a software engineering company specialized in custom development: it builds, maintains, and provides high-availability support for its clients' critical technology infrastructure, from mobile applications to web platforms and complex enterprise systems. Until now, that work relied mostly on traditional development.
What NAiOS brings to that equation is the missing piece: an orchestrator capable of coordinating and automating multiple AI models and intelligent agents in real time, integrating them with core business processes without moving or duplicating data. By combining both capabilities, MiTSoftware can take clients well beyond conventional software development: it's now possible to connect language models, intelligent agents, and industrial sensors directly to SAP, Salesforce, Holded, PLCs, or SCADA systems, while keeping the infrastructure the company already has in place.
A MiTSoftware spokesperson put it this way in the alliance's official announcement: many companies want to adopt AI but hold back due to the complexity of connecting new tools with their traditional databases and ERPs; the integration with NAiOS aims to solve that bottleneck with infrastructure built for production, not for a demo.
Four processes where the difference already shows
The alliance focuses on four areas where AI automation is already delivering measurable impact:
- Document management. Classifying, extracting, and processing information from contracts, invoices, or reports without someone having to review each document by hand. The value isn't just time saved, but reducing the margin for human error in repetitive tasks that currently consume hours of skilled staff time.
- Financial analysis. Speeding up reports and detecting patterns in data that, in many companies, is still handled through spreadsheets scattered across departments, with all the risk of inconsistency that implies.
- Customer support. Agents connected to real internal systems, able to resolve queries with full context of the customer and their history, instead of isolated chatbots that just repeat generic answers.
- Predictive maintenance on the plant floor. Anticipating failures before they happen, with a very concrete business objective: reducing unplanned production stoppages, which in industrial settings usually translate into direct and hard-to-recover financial losses.
If your company manages operations and logistics through repetitive manual processes, this is usually the entry point where results show up fastest.
Data sovereignty: the axis that matters most for regulated industries
This is probably the most relevant point in the announcement, even if it's not the flashiest. The solutions coming out of this alliance are designed to be deployed either in private cloud or in on-premise infrastructure, inside the client's own facilities.
That's not a minor technical detail. The EU AI Act and the data sovereignty requirements facing sectors like banking, healthcare, defense, and industry mean many organizations simply can't send sensitive data to public clouds outside the European perimeter. Being able to keep AI within your own data center, without giving up orchestration capability, removes one of the adoption barriers that comes up most often in early conversations with companies in these sectors. If you're evaluating how to modernize your cloud infrastructure with AI in mind without compromising regulatory compliance, this is exactly the kind of architecture worth exploring first.
This conversation, too, isn't happening in a vacuum. Enterprise AI orchestration is a space where more and more players are competing to solve the same underlying problem: how to coordinate multiple models and agents in production without losing governance over the data. What sets this alliance apart in that landscape is its approach: less a generic platform meant for any company anywhere, and more custom engineering built on each client's actual infrastructure, with the Spanish business landscape as the starting point.
A detail that can change the budget conversation
Projects coming out of this alliance are structured to be eligible for Spanish public funding programs: Kit Digital and Kit Consulting, the digitalization programs managed by Red.es, along with R&D tax incentives under Spain's Corporate Income Tax.
In practical terms, this means a significant part of implementation cost doesn't necessarily have to come straight out of pocket. For a company that's been postponing its AI adoption due to budget concerns, it's worth putting this option on the table before ruling the project out.
One pattern: local engineering, real orchestration, compliance by design
This alliance isn't a merger or a funding round. It's a commercial agreement between two Spanish companies built around combining local engineering, an orchestrator capable of coordinating multiple models and agents, and European regulatory compliance built in from the start, not bolted on afterward.
If your company already has critical systems running and the idea of having to replace them is what's holding you back from adopting AI, or if you operate in a sector where data sovereignty isn't negotiable, this is precisely the kind of architecture worth evaluating before committing to a solution that forces you to start from scratch.
Want to know how this would apply to your operation? Get in touch or book a free technical consultation with our team, and we'll evaluate together which process in your company makes the most sense to automate first, and whether your project could benefit from Kit Digital or Kit Consulting.
To learn more about the orchestration technology behind this alliance, you can visit naios.net.
