Engineered to replace bloated legacy RMM software. Combining high-frequency C# endpoints, real-time MQTT protocol streaming, and MariaDB analytics to automate remediation at cloud scale.
Built for Enterprise Scale. Designed for MSP Operational Efficiency.
Legacy RMM providers rely on slow, heavy, decade-old frameworks. SafePC AI Ops targets the multi-billion dollar RMM and EDR market with an AI-native architecture.
Ultra-lightweight background services mean lower compute costs per node, providing software margins that significantly exceed legacy industry baselines.
Proprietary automated telemetry pipelines and machine-learning remediation models create deep platform retention and defensible moat characteristics.
Built in C# running as a native Windows service. Uses minimal RAM and negligible CPU power, eliminating host endpoint lag completely.
Instantaneous bi-directional command execution via light MQTT broker pipelines, bypassing sluggish HTTP polling delays.
Resolve system failures, security exploits, and memory leaks before clients log a single support ticket.
Designed for high reliability, minimal overhead, and instant scale.
Deploys directly to target systems. Executes local checks and lightweight metrics capture.
High-speed event pub/sub mechanism carrying encrypted telemetry packets.
Optimized relational engine indexing system state logs, audit trails, and device metrics.
Web interface powering automated incident response and management analytics.
Access detailed financial models, platform architecture whitepapers, and technical roadmap documentation.