Top Software Engineering and AI Analytics Platforms in Latin America 2026

CFBD builds software and AI analytics on the principle that complex technology should make information easier to act on, not create more work for the people using it. Its AZOR ecosystem serves as a monitoring and control panel that unifies video and sensor data with modern computing environments, turning fragmented information into real-time, actionable intelligence without requiring organizations to replace existing systems. AI sits at the core of its engineering approach rather than being treated as an add-on, shaping systems that translate complex challenges into simple, robust solutions. Serving government and enterprise clients, CFBD’s technical team immerses itself in each environment, adopts the client’s vision as its own and applies the technology best suited to the actual need. Throughout its evolution, this client-centric approach has remained constant, guiding the company in delivering solutions that create real impact on clients' and partners' operations. “What truly differentiates us isn't just the code, but our empathy and commitment,” says Carlos Barrientos Di Liberto, CEO. From Raw Feeds to Focused Decisions The AZOR Orchestrator serves as the common operating layer within the AZOR ecosystem, bringing together information from VMS environments, sensors and AI-processed sources. This centralized environment helps reduce information silos and technological fragmentation. AZOR extends that environment beyond passive monitoring by converting unstructured video into structured, searchable metadata. Through proactive intelligent surveillance, it continuously detects and tracks multiple people or objects, evaluates speed, trajectory, dwell time and distance, and then organizes the observations into a searchable knowledge library by type, color and behavior. The structured metadata enables forensic searches in seconds, replacing hours of manual review while generating visual dashboards for decision-making. That intelligence is useful beyond traditional security monitoring. Safety, logistics and facilities teams can use the same structured information to identify workflow bottlenecks, spatial usage patterns and other operational anomalies. Within the semi-automated workflow, AZOR Analytics serves as the intelligence layer, developing cutting-edge, customized computer vision analytics for various market verticals. Wherever there is a camera, there is a target, and AZOR Analytics can process the camera stream in real time to identify risk patterns and help organizations achieve their objectives. The AZOR Panel– its analyst-facing alert interface–receives only AI-filtered events for validation. This reduces continuous screen monitoring, limits analyst fatigue and allows instant validation of incidents. Interactive mapping and automated geolocation help teams locate devices and incidents across large sites, while analytical rules like loitering detection help reduce false positives. CFBD also emphasizes responsible AI, using dynamic object blurring to protect privacy in non-essential footage while preserving forensic metadata. Recent work with a centralized C4 operations center shows its workflow in practice. The client needed to connect private video devices and use the information more effectively for public safety. CFBD integrated the devices with AI for predictive public safety, sending real-time alerts through AZOR. The deployment improved efficiency and response while enriching information for safety decisions and supporting citizen engagement. Bridging Legacy Infrastructure with Next-Gen Computing CFBD’s hybrid architecture allows organizations to adopt next-gen capabilities without triggering costly ‘rip-and-replace’ cycles of legacy infrastructure. Software like Windows XP can be encapsulated within modern hyperconverged infrastructure, keeping its data accessible to cloud and edge AI pipelines while extending asset lifecycles. Edge Gateways bridge analog and IP camera networks by converting legacy feeds into digital streams for AI analysis. AI models then process high-definition video close to the source before sending lightweight metadata, alerts and keyframes to the AZOR Orchestrator. This edge-to-cloud approach reduces bandwidth consumption by 80 to 90 percent while maintaining sub-second response times. The hybrid model also keeps cost and sustainability in focus. It lowers initial capital expenditure by avoiding complete hardware replacements. Extending hardware lifecycles and using hyperconverged virtualization reduce electronic waste while making ongoing operational expenditure more predictable and scalable. CFBD’s engineering philosophy returns to a simple principle that technology should solve the problem in front of the user. Its focus remains on turning complexity into practical intelligence that clients can act on and build upon, while applying solutions around what they actually need.