In an era when a $500 drone can neutralize a multimillion-dollar asset, the traditional defense paradigm is broken. Pentum Safe Sky™ was founded to fix the asymmetry of modern warfare. Our mission is to provide an intelligent, software-defined shield that outpaces, outsmarts, and out-evolves emerging aerial threats.
We are not just software developers or hardware integrators. Pentum Safe Sky™ is a hybrid entity born from two worlds:
Tactical Expertise: Our leadership includes veteran military engineers and electronic warfare (EW) specialists who have seen the evolution of drone threats in real-world theaters of operation.
Deep-Tech Innovation: Our engineering core comprises world-class AI architects and sensor-fusion experts who specialize in low-latency processing and autonomous decision-making.
"We don't build boxes; we build the intelligence that makes sense of the chaos."
Alvaro R. Bonilla. Cofounder
The "Big Defense" approach of building proprietary, closed-loop hardware is obsolete. By the time a legacy system is deployed, the threat has already changed.
Pentum Safe Sky™ champions the Software-Defined Defense model:
Hardware Agnosticism: We believe in an open architecture. Our Pentum C2 platform is designed to integrate the world’s best sensors and effectors, regardless of the manufacturer.
Agile Evolution: As new drones emerge—be they fiber-optic guided, autonomous swarms, or low-RCS fixed wings—our system evolves via software updates, not costly hardware overhauls.
Cost-Efficiency: We prioritize the "Cost-per-Kill" metric. We ensure that our clients never spend $100,000 to neutralize a $1,000 threat.
In 2026, security is no longer about having the biggest gun; it’s about having the fastest brain. Pentum Safe Sky™ is that brain. Whether protecting a national border, an international airport, or a critical energy refinery, we provide the Sovereign Technology necessary to reclaim the sky.
We master the four critical stages of the C-UAS kill chain through our proprietary Decision Intelligence:
Detect: Leveraging multi-spectral fusion (Radar, RF, and Acoustics).
Identify: Utilizing deep-learning neural networks to classify threats in milliseconds.
Decide: Providing the operator with a high-probability course of action through an intuitive UX.
Defeat: Executing surgical soft-kill or high-precision hard-kill measures with clinical accuracy.