Lisbon, April 28, 2026 (Lusa) – Portuguese tech company InnoWave announced on Tuesday an investment of €3.8 million in artificial intelligence (AI), including €1.6 million this year, aiming to accelerate software delivery and strengthen competitiveness.
"Between 2024 and 2025, the Portuguese tech firm increased its investment in AI in the areas of software development, the creation of new products and services, operations and talent" and, "over the course of this year, the company plans to invest a further €1.6 million," the statement reads.
The €3.8 million total investment, scheduled through the end of 2026, forms part of a strategy to significantly speed up software delivery and enhance clients' ability to launch products faster than their competitors. The company invested €2.2 million in this area between 2024 and 2025.
InnoWave’s focus on AI "reflects a trend highlighted by the Education and Science Statistics Authority among companies with high research and development spending in Portugal."
According to the company, the ongoing investment aims to accelerate AI adoption, strengthen internal skills, optimise processes, and promote an innovation ecosystem. The approach rests on six pillars: talent, ecosystem, customer value, operational excellence, governance, and communication.
AI “has moved from being a side project to becoming an integral part of how we design solutions, organise teams and create value for customers. The investment made so far, and the planned increase for 2026, reflect a long-term vision of how InnoWave intends to evolve, with greater execution capacity, higher delivery quality and an operational model better equipped to scale," says Tiago Gonçalves, CEO of InnoWave, quoted in a press release.
He noted that the investment made so far, and the reinforcement planned for 2026, reflect a long-term vision for the company's evolution, focusing on execution capacity, delivery quality, and a scalable operational model.
InnoWave applies AI to data analysis and operations, allowing organisations to access critical information faster and make decisions with greater operational impact. A European telecommunications operator, for instance, uses this approach to accelerate fault identification and incident resolution, thereby reducing operational impact.
This investment in artificial intelligence "is allowing us to accelerate our execution capacity and, above all, enhance how we help our clients respond and act more quickly in their markets," he said.
ALU/RYOL // AYLS
Lusa
