Predictive Maintenance & Asset Health Intelligence
Stop reacting to machine failures. Predict them down to the hour.
Eliama Protea turns raw sensor telematics, maintenance logs, and historical failure modes into a real-time health index for every critical machine on your line. Eliminate unplanned downtime, extend remaining useful life, and dispatch maintenance with deterministic precision.
30–50%
Reduction in Unplanned Machine Downtime
20%
Extension of Asset Useful Life (RUL)
15%
Decrease in Spare Parts Inventory Holding
100%
Grounded Failure Predictions (No Model Hallucinations)
The Reality
Enterprise maintenance is caught between costly scheduled calendar checks and catastrophic emergency shutdowns. Fragmented SCADA alerts generate alert fatigue, while critical early degradation signatures — bearing harmonic jitter, micro-thermal spikes — slip past threshold monitors.
The Protea Solution
Protea builds an active digital twin of your mechanical and electrical fleet. By ingesting high-frequency sensor streams alongside historical work orders from SAP PM or IBM Maximo, Protea detects anomalous behavior weeks before physical failure occurs — notifying engineers with clear, auditable root-cause diagnostics.
CORE CAPABILITIES
01
Multi-Sensor Anomaly Triangulation
Ingests vibration, acoustic, temperature, pressure, and electrical load metrics across high-frequency industrial historians (PI System, Timescale, InfluxDB). Protea correlates cross-sensor deviations that standard single-variable SCADA thresholds ignore.
02
Remaining Useful Life (RUL) Prognostics
Rather than providing binary fail/pass flags, Protea computes a dynamic Remaining Useful Life curve based on current operating load, environmental parameters, and historical asset degradation profiles.
03
Closed-Loop ERP Work Order Generation
When Protea predicts a component failure, it does not stop at firing a dashboard alert. It cross-references current inventory levels in SAP/Dynamics, verifies replacement part availability, drafts an optimized work order, and schedules technician maintenance during planned line changeovers.
04
Prescriptive Remediation Playbooks
Every alert includes an operational mitigation path: running the asset at an altered setpoint to relieve mechanical stress, redirecting capacity to parallel lines, or ordering urgent inspections with step-by-step diagnostic checklists.
TECHNICAL ARCHITECTURE
Linking FloraOS to legacy ERPs and Kervalt.
PRESENTATION LAYER
Eliama Executive Cockpit
Field Dispatch (Mobile)
Kervalt Sovereign UI
AGENTIC FABRIC & SOLVER ENGINE — FLORAOS
Eliama Protea
Reliability / Anomaly Inference Models
Eliama Dahlia
MILP / Heuristic Constraint Solvers
Kervalt Sovereign
Tri-Engine Context Vault: Tafari, Griot, Elimu
POLICY & AUDIT GOVERNANCE ENGINE — Deterministic Verification · Role-Based Human Approval Gates
FLORAOS ENTERPRISE ONTOLOGY
Unified Semantic Graph: Equipment ⇄ Work Orders ⇄ Materials ⇄ Suppliers ⇄ Sensor Runs
BIDIRECTIONAL INTEGRATION RUNTIME — CONNECTORS
ERP & Business Core
SAP S/4HANA & ECC (BAPI / OData / IDoc)
MS Dynamics 365 (Dataverse)
SAP Event Mesh Streaming
OT, SCADA & Industrial Telematics
OPC UA / MQTT Industrial Gateways
Time-Series Historians (OSIsoft PI, Timescale)
MES Systems (Siemens Opcenter, Rockwell)
The FloraOS Semantic Layer
FloraOS avoids point-to-point synchronization and brittle ETL pipelines by establishing a model-driven semantic ontology. Operational reality is mapped into unified digital entities — Asset, Batch, WorkOrder, ProductionConstraint, MaterialSKU, SupplierContract. When Protea detects an anomalous vibration, it does not see an isolated float value: it associates that signal with the asset, reads its active batch, checks work-order history, and alerts the certified technician on duty.
Bidirectional ERP & OT Connectors
SAP S/4HANA and ECC are read via NetWeaver RFCs, OData v4 and SAP Event Mesh, and written through transactional BAPIs that stage draft actions — no change touches production ledgers without passing SAP validation schemas. Dynamics 365 syncs via Dataverse webhooks and OData batch writeback for human review. On the plant floor, lightweight edge runtimes subscribe to OPC UA and MQTT streams inside the DMZ, with indexed querying of PI, InfoPlus.21, TimescaleDB and InfluxDB historians.
Where Kervalt Fits: The Sovereign Privacy Vault
Kervalt runs either inside the FloraOS enterprise architecture or standalone for SMEs. In enterprise deployments it is the Confidential Intelligence Layer: while Protea and Dahlia process telematics and schedules, Kervalt ingests highly sensitive records — supplier agreements, patents, shift logs, board risk registers — with Tafari parsing multilingual text, Griot mapping relationships across legacy archives, and Elimu cryptographically grounding every output before it reaches an operator.
ENTERPRISE ARCHITECTURE
Engineered for Legacy Realities. Built for Total Data Sovereignty.
Your enterprise does not run on clean, centralized databases. It runs on decades of SAP transactions, proprietary SCADA historians, custom MES platforms, and fragmented documentation. FloraOS bridges this divide — a unified ontology that turns historical systems of record into active systems of intelligence. No rip-and-replace required.
Non-Invasive Architectural Overlay
FloraOS connects via native SAP BAPIs, Dynamics OData endpoints, and standard industrial OPC UA protocols. Your source systems remain the single point of truth.
Deterministic Guardrails, Not Hallucinations
When FloraOS optimizes a production sequence or schedules an emergency pump overhaul, it runs deterministic mathematical solvers and rule-based verification. Generative models only assist with semantic parsing and contextual summarization.
Sovereignty by Design
Through dedicated European bare-metal infrastructure — anchored by Kervalt — your intellectual property, plant telemetry, and internal records remain strictly under European jurisdiction.