Akselos provides a cloud‑native Structural Performance Management platform that builds physics‑based digital twins of industrial assets and runs real‑time finite‑element simulations driven by live sensor data. The system uses AI‑augmented degradation models to deliver continuous condition metrics, predictive fitness‑for‑service scores, and automated compliance reporting, enabling asset integrity teams to optimize maintenance and expand operating envelopes.
Funding
Funding not disclosed
GCFounders
Product
Problem
Asset integrity teams in energy and heavy‑industry sectors rely on periodic inspections and static engineering calculations, which provide limited visibility into real‑time structural health. This approach leads to conservative operating envelopes, unexpected downtime, and difficulty forecasting remaining useful life of critical equipment. Integrating disparate sensor data into actionable insights remains a technical bottleneck.
Solution
Akselos delivers a Structural Performance Management (SPM) platform that creates physics‑based digital twins of assets and continuously runs high‑fidelity simulations driven by live sensor feeds. The system applies machine‑learning models to interpret simulation outputs, generating real‑time condition metrics and predictive Fitness‑for‑Service (FFS) assessments. Operators can expand operating envelopes, schedule maintenance based on actual degradation, and meet regulatory compliance with automated reporting. The cloud‑native analytics pipeline scales across offshore platforms, refineries, LNG trains, and wind turbines, enabling enterprise‑wide asset‑wide visibility. Integration hooks allow direct ingestion of SCADA, IoT, and historical inspection data, turning raw measurements into actionable risk scores. The platform is delivered as a SaaS solution with role‑based access controls and end‑to‑end encryption to protect critical infrastructure data.
Target Audience
Primary users are asset integrity managers, reliability engineers, and operations teams at oil & gas producers, petrochemical complexes, LNG facilities, offshore platform operators, and wind‑farm developers seeking data‑driven asset performance optimization.
Features
- High‑performance finite element engine that runs real‑time, physics‑based simulations of pressure vessels, jackets, FPSOs, and wind turbine structures
- AI‑augmented degradation models that translate simulation results into predictive remaining‑life and fitness‑for‑service scores
- Continuous data ingestion framework supporting OPC-UA, MQTT, and proprietary SCADA protocols for seamless sensor integration
- Cloud‑hosted analytics dashboard with customizable KPI widgets, trend visualizations, and automated compliance report generation (e.g., API 650, ASME)
- On‑demand FFS module that produces detailed inspection‑level assessments without interrupting operations
- Multi‑industry asset libraries and pre‑configured templates for petrochemical, LNG, offshore oil & gas, and renewable wind applications
- Secure SaaS delivery with role‑based access, audit logging, and AES‑256 encryption for data at rest and in transit