R Sigma LLC

Turning legacy complexity into modern capability.

Website

About the firm

R Sigma is an engineering and automation consultancy specializing in robotics, computer vision, AI integration, and digital transformation across aerospace, semiconductor, and defense sectors.

Established
2023
Firm type
Automation & Controls · Software Engineering · Aerospace Engineering

People

Thomas Boe-WiegaardPartner

Alex KingPartner

James CarthewPartner

Mitch KaminskiMechanical & Manufacturing

Eric WestGrowth

Nelson BrockProduct Development

Ben HeinInstrumentation & Analysis

Steven MenkingFinancial Insight

Capabilities

Strategic Business and Process Optimization

Aligns organizational workflows, resource allocation, and operations to improve overall performance and manage digital transformation initiatives.

  • Business Transformation and Process Design

    Reconfigures operational models and legacy workflows to drive agility and prepare operations for advanced technology adoption.

  • Partnerships and Growth Strategy

    Develops strategic alliances and market positioning strategies to scale capabilities and expand industrial footprints.

  • Resource Allocation and Financial Insights

    Optimizes cost structures and asset deployment to maximize operational efficiency and project return on investment.

Industrial Automation and Emerging Technologies

Designs and deploys advanced systems using modern software, computer vision, and robotics to upgrade legacy manufacturing processes.

  • Automation Strategy and Deployment

    Constructs comprehensive roadmaps and implements automated systems to replace high-friction manual tasks in production environments.

  • Emerging Technologies and AI Integration

    Incorporates machine learning, computer vision, and digital capabilities directly into industrial workflows for enhanced decision-making.

  • Advanced Sensor Calibration and Integration

    Embeds high-precision instrumentation, including LiDAR and load cells, to gather real-time process data and guide technicians.

  • Embedded to Cloud Software Development

    Builds custom applications that bridge on-premise hardware sensors with cloud data storage for seamless tracking and analysis.

Product Realization and Advanced Manufacturing

Transforms conceptual designs into functional hardware through rapid physical modeling and production-line tooling integration.

  • Rapid Prototyping and Hardware Realization

    Accelerates product development cycles by engineering and manufacturing functional prototypes for rigorous physical testing.

  • Aerospace Tooling and Manufacturing Integration

    Designs custom tooling and guides alignment processes for high-precision manufacturing, specializing in complex aerospace and semiconductor components.

Testing, Analysis, and Quality Assurance

Establishes robust verification procedures and data-collection frameworks to guarantee product safety and regulatory compliance.

  • Test Planning and Experiment Design

    Formulates detailed testing methodologies and experimental procedures to validate critical hardware and software subsystems.

  • Nondestructive Testing and Digital Threads

    Implements advanced inspection techniques, such as white and black light testing, while linking results directly to CAD geometry using standardized frameworks.

Industries

Aerospace · Semiconductors · Defense · Automotive · Manufacturing

Projects

Legacy NDT Inspection System Modernization

Aerospace

Project details

Upgraded a legacy flight safety visual inspection system for helicopter spars by developing lightweight custom software. The solution remapped camera layouts and enabled simultaneous video recording and display directly on existing hardware without infrastructure downtime, reducing inspection time by 25% and creating a foundation for AI-driven quality review.

High-Precision Semiconductor Assembly Automation

Semiconductors

Project details

Optimized a high-precision semiconductor assembly process using an instrumentation-first approach. Integrated LiDAR, load cells, and RGB/depth cameras with a technician-facing visual dashboard to enable sub-millimeter manual alignment, eliminating the need for working at height, reducing takt time, and establishing a traceability framework for future robotic integration.

Model-Based Definition and Quality Information Framework Integration

Aerospace

Project details

Implemented a Model-Based Definition strategy for large helicopter components by augmenting existing CAD models with semantic Part Manufacturing Information (PMI) expressed via the Quality Information Framework (QIF). Established a local machine-to-datalake feedback loop that links inspection results back to shared geometry in real time, reducing engineering overhead and eliminating redundant model creation.