Eduardo Magalhaes

SIENTIA™ (by aignosi) is an OT-first Industrial AIOps platform focused on operationalizing AI at scale—governed, observable and repeatable across industrial sites. We help industrial teams move from isolated AI experiments to production-grade operations by providing: • Governance: traceability and auditability of data and models (lineage, versioning, approvals, access control) • MLOps for OT: deploy and manage models/pipelines across edge/on-prem/hybrid environments under strict change-management • Observability: continuous monitoring of data quality, drift, model performance and system health, with actionable alerts • Scalability: reusable templates, standardized pipelines and multi-site rollout patterns SIENTIA™ connects to OT data sources (SCADA, historians and IIoT) and supports reliability-driven use cases such as anomaly detection and predictive maintenance for asset-intensive industries, including energy & utilities. We welcome collaboration for pilots, co-development and deployment with industrial companies, OEMs, system integrators and applied research teams.