Bellevue, Washington — February 2026 — Tupl today announced key organizational changes designed to deliver stronger product and business focus as the company continues scaling its AI-driven automation platform globally. The company will feature a dedicated technological leadership team to fully absorb and operationalize the evolution of AI at scale.
As part of this strategic evolution:
Pablo Tapia has been appointed Chief Product Officer (CPO) and will lead the global Product Management function. At the same time, Pablo will continue driving Tupl’s strategic vision, internal transformation, and the corporate culture direction, which has become a key differentiator for the company.
Luis Ortega assumes the role of Chief Technology Officer (CTO), leading technology strategy and platform development. Luis has been instrumental in developing key capabilities within TuplOS, including our Agent Builder, and his leadership will take the TuplOS platform to new heights.
These leadership appointments reflect Tupl’s commitment to delivering measurable business value through a pragmatic, production-ready approach to scalable data and AI automation.
In Pablo Tapia’s words: “We are entering a phase that demands radical clarity in what we build, why we build it, and how we position ourselves to lead. Our ambition is bold: to become the undisputed leader in AI platforms and solutions for Telco.”
Strengthening Product Leadership to Drive End-to-End Value
As Chief Product Officer, Pablo Tapia will spearhead Tupl’s product vision and roadmap, ensuring tight alignment between customer needs, operational transformation objectives, and platform evolution.
His mandate includes accelerating the development of TuplOS, the company’s automation platform, positioning it as a best-of-breed solution for end-to-end operational transformation across complex environments.
TuplOS embodies Tupl’s philosophy of delivering a pragmatic AI approach, focused on real operational outcomes, and driven by use cases tailored to each operator, network, and business context
Under Pablo Tapia’s leadership, Product Management will further sharpen its focus on delivering automation that integrates seamlessly into customer workflows and produces tangible improvements in efficiency, scalability, and cost performance.
Deepening AI Architecture and Production-Grade Execution
In his new role as Chief Technology Officer, Luis Ortega will lead the evolution of Tupl’s AI architecture , ensuring that innovation consistently translates into production-grade solutions operating in live environments.
He will focus on strengthening the technical foundations of TuplOS, from AI model lifecycle management and system integration to real-time decision orchestration across complex operational ecosystems. In parallel, he will drive the technical execution of the product roadmap, ensuring that new AI capabilities are architected for deployment, integration, and long-term operability in demanding production environments.
This alignment between Product and Technology reinforces Tupl’s differentiation: AI solutions engineered not as theoretical models, but as operational systems delivering continuous value in live networks and business operations.
As enterprises increasingly demand automation that delivers measurable impact, from operational efficiency to energy optimization and customer experience transformation, Tupl’s reinforced leadership structure positions the company to meet that demand with precision and scale.
About Tupl
Founded in 2014 by telecom, big data and AI experts, Tupl is pioneering the digital transformation of the telecom industry by automating network operations with AI. The company’s AI engine, TuplOS, leverages machine learning and other technologies to accelerate the innovation cycle of network and customer care operations for wireless carriers in the United States, Japan and Europe. Beyond the telecommunications sphere, Tupl has developed solutions for other key sectors such as smart agriculture or Industry 4.0. Tupl’s ultimate goal is to bring artificial intelligence to any sector, enabling any user to implement AI applications easily.
Headquartered in Bellevue, Washington, USA, with offices in Spain and Japan,
Tupl is rapidly expanding its global presence.
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