Telemetry and log streams must become live decision signals, moving beyond post-hoc reporting into real-time operational control.
Maintenance needs to move from static schedules to risk-based intervention, driven by predictive asset health models.
Field and plant data must connect to enterprise reporting, eliminating the air-gap between OT and IT floors.
Operational resilience increasingly depends on security, governance, and high-quality asset data as the core infrastructure.
Early warning detection, anomaly analytics, and maintenance prioritization to ensure peak performance of critical energy assets.
Early warning detection, anomaly analytics, and maintenance prioritization to ensure peak performance of critical energy assets.
Trusted by operators & infrastructure leaders
Asset and operations analytics, trading and risk insight, grid and IoT data integration, and compliance reporting for energy and utilities.
2.1B+
Monthly IoT Readings
72%
Reconciliation Reduction
Real-time
Operational Decisions
Every NeoStats engagement comes with delivery discipline, security posture, governance depth, and a partner that understands what it means to operate in a critical infrastructure environment.
NeoStats builds on Azure and Microsoft Fabric - the platform most energy enterprises are already invested in. No forced migrations, no unfamiliar stack.
Data ownership, quality monitoring, lifecycle management, and responsible AI are part of the delivery model - critical for industrial safety and compliance.
Secure-by-design architecture, access controls, and audit-ready delivery across all engagements - aligned to critical infrastructure security requirements.
Leadership with direct industrial and operational background stays close to delivery, governance, and stakeholder alignment - not just sales.