Cisco Systems Inc., the global leader in networking and security, has partnered with Entropy Technology Inc., a Philippine-based digital solutions company, to accelerate the rollout of artificial intelligence solutions across the country as demand for secure and scalable AI infrastructure gains momentum.
Under the collaboration, Entropy Technology will deploy Cisco Secure AI Factory with NVIDIA to develop and scale AI-driven solutions for telecommunications firms, internet service providers, and large enterprises. The initiative is part of Cisco’s Country Digital Acceleration Program, locally known as UGNAYAN 2030, which aims to boost digital resilience and innovation nationwide.
The tie-up comes as Philippine organizations race to adopt AI but face infrastructure constraints. Cisco’s AI Readiness Index 2025 shows that half of Philippine firms expect their AI workloads to grow by more than 50 percent over the next three to five years, yet only half are investing in the power and systems needed to support that expansion.
“AI’s impact depends on having the right foundation,” said Zaza Soriano-Nicart, managing director of Cisco Philippines, noting that the partnership brings enterprise-grade, secure AI infrastructure closer to local industries.
For Entropy Technology, the deal strengthens its ability to deliver AI in real-world, mission-critical environments. “This partnership enables us to turn AI into practical solutions—from expanding rural connectivity to ensuring reliable communications during disasters,” said Sam Consorte, managing director of Entropy Technology.
At the core of the collaboration is Cisco Secure AI Factory with NVIDIA, built on Cisco AI PODs—modular, pre-validated, cloud-agnostic infrastructure that reduces the complexity of deploying AI-ready data centers. Entropy previously relied on analytics tools that struggled with live telecom operations. With Cisco’s platform, it can now process large volumes of data securely and at scale.
The partnership reflects a broader shift in the Philippine AI market from experimentation to execution, as companies seek infrastructure that can turn AI ambitions into measurable results.
