Case Studies

Real Projects.
Measurable Outcomes.

Each case study shows how Numeric applies its blend of engineering and technology to solve high-stakes problems.

EnergyCustom PlatformEdge Intelligence

Deep Edge Platform

Unified offshore intelligence across 10 deepwater assets

The Challenge

Offshore operators faced fragmented data systems across deepwater installations – separate vendors for sensors, software, AI, and integration. Critical decisions relied on incomplete data, delayed reports, and siloed information that couldn't keep pace with dynamic ocean conditions.

The Solution

Numeric developed Deep Edge, an operational edge-intelligence platform built on an open-source, agentic infrastructure. Deep Edge fuses instrumentation, real-time data acquisition, physics-based models, and AI into a unified edge-resident system. The modular, containerized architecture supports third-party and mission-specific applications with GPU-accelerated onboard processing and secure, cloud-optional deployment.

The Results

Deployed across 10 deepwater assets in continuous operation, Deep Edge provides real-time operational support to both offshore and onshore personnel. The platform demonstrates sustained autonomous performance in harsh, disconnected environments – proving the viability of edge-first intelligence for mission-critical applications.

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Deep Edge platform deployment
Technology Stack
Edge ComputingGPU ProcessingIoT SensorsPhysics-Based AIComputer VisionContainerized ArchitectureCloud-OptionalReal-Time DAQ
EnergyIndustrial & PortsDigital Twin

Load Management System

Real-time stability monitoring replacing manual calculations

The Challenge

On floating assets and heavy-load environments, stability is non-negotiable. Small changes in ballast or cargo can push an asset toward unsafe trim. Traditionally, crews tracked stability through spreadsheets and manual calculations – slow, error-prone, and disconnected from live conditions.

The Solution

Numeric's Load Management System (LMS) replaces guesswork with a physics-based digital twin to assist offshore personnel in maintaining a safe operating load condition of the floater by receiving real time monitoring data from various sensors on the Floating Production Facility (FPF) and processing the information to determine the optimum ballast tank water levels at any given time.

The Results

Operators gain continuous visibility into stability margins with automated compliance logging. The system eliminates manual calculation delays, reduces human error in critical safety decisions, and provides a clear audit trail for regulatory review.

Load management system monitoring interface
Technology Stack
Digital TwinPhysics-Based ModelingReal-Time SensorsStability AnalysisAutomated LoggingDashboard UI
DefenseAerospacePatented Technology

Measurement Without Direct Instrumentation

Patented 6-DOF structural motion tracking via video

The Challenge

In many operational environments, direct instrumentation is limited by access, survivability, installation constraints, or cost. As a result, critical parameters such as displacement, alignment, and system motion are often not directly measurable.

The Solution

Numeric develops measurement methods that replace conventional sensors with vision-based tracking, indirect sensing, and physics-based inference and has a patented computer vision application (US 11,461,906 B2) capable of tracking six degrees-of-freedom (6-DOF) motion using vision based tracking in operational environments. These systems combine calibrated visual references, geometric reconstruction, and model-based interpretation to extract quantitative measurements from available data.

The Results

The system provides structural monitoring capability where conventional instrumentation is constrained – enabling displacement measurement in environments that were previously unmeasurable. Technology has direct applications in defense situational awareness, aerospace structural testing, and industrial asset monitoring.

Computer vision motion tracking system
Technology Stack
Computer Vision6-DOF TrackingPatented (US 11,461,906 B2)Video AnalysisGeometric ReconstructionEdge Processing
AerospaceEnergyAdvanced Simulation

Inferring System Conditions through Reduced Order Models

Predictive fatigue tracking through high-fidelity modeling

The Challenge

Structural response in offshore and dynamic systems is governed by complex interactions between environmental loading, system dynamics, and structural properties. Structures don't fail all at once – they wear down gradually under stress cycles. Direct measurement of fatigue is rarely possible, and unplanned inspections or failures cost millions in downtime. Operators needed a way to track cumulative fatigue damage continuously, not just during scheduled inspections.

The Solution

Numeric combines measured platform motions in combination with high-fidelity physics-based models to estimate cumulative fatigue damage in critical structural components. Synthetic data generated through finite element analysis (FEA) is used to train predictive models that forecast component degradation. Numeric transforms these models into deployable computational systems by combining physics-based simulation, large-scale synthetic data generation, and reduced-order or machine learning representations derived from those simulations.

The Results

The system integrates with Numeric's edge platform for continuous, autonomous monitoring. The result is a transition from analysis-driven models to operational engineering capability, where models function as embedded components of real-world systems rather than isolated analytical tools.

Simulation and fatigue monitoring visualization
Technology Stack
FEA (ANSYS)Synthetic DataFatigue AnalysisReduced-Order ModelsMachine LearningEdge Platform

Intelligent Designs

Engineered for Real Conditions

Physics. Data. Deployment.

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