Market Overview

The LA neuromorphic chip market represents a revolutionary segment within the broader semiconductor industry, focusing on brain-inspired computing architectures that mimic neural networks. Neuromorphic chips are designed to process information in ways similar to the human brain, offering unprecedented efficiency in artificial intelligence applications, edge computing, and autonomous systems. This emerging technology sector has gained significant momentum as organizations seek more efficient alternatives to traditional von Neumann computing architectures.

Market dynamics indicate substantial growth potential driven by increasing demand for energy-efficient computing solutions and advanced AI capabilities. The technology demonstrates remarkable promise in applications ranging from autonomous vehicles to smart sensors, with adoption rates accelerating at approximately 12.5% annually across key industry segments. Los Angeles has emerged as a significant hub for neuromorphic chip development, hosting numerous startups, research institutions, and established semiconductor companies investing heavily in this transformative technology.

Industry participants are witnessing growing interest from venture capital firms and technology giants seeking to capitalize on the potential of brain-inspired computing. The convergence of artificial intelligence, Internet of Things, and edge computing requirements has created a fertile environment for neuromorphic chip innovation, with 65% of surveyed companies indicating plans to integrate neuromorphic solutions within the next three years.

Meaning

The LA neuromorphic chip market refers to the ecosystem of companies, research institutions, and stakeholders in the Los Angeles region developing, manufacturing, and commercializing brain-inspired semiconductor devices. Neuromorphic chips utilize novel architectures that process information through spiking neural networks, enabling real-time learning, adaptation, and ultra-low power consumption compared to conventional processors.

These specialized semiconductors represent a paradigm shift from traditional digital computing, incorporating analog and mixed-signal processing capabilities that more closely resemble biological neural systems. The technology enables continuous learning, pattern recognition, and decision-making processes that occur directly on the chip, eliminating the need for constant data transmission to cloud-based processing centers.

Key characteristics of neuromorphic chips include event-driven processing, where computations occur only when input changes, resulting in significant energy savings. The architecture supports parallel processing of multiple data streams simultaneously, making these chips particularly suitable for applications requiring real-time responses and adaptive behavior in dynamic environments.

Executive Summary

The LA neuromorphic chip market stands at the forefront of next-generation computing technology, driven by increasing demand for intelligent, energy-efficient processing solutions. Market momentum continues to build as organizations across industries recognize the transformative potential of brain-inspired computing architectures for solving complex computational challenges.

Key growth drivers include the exponential increase in IoT devices requiring edge intelligence, autonomous vehicle development demanding real-time processing capabilities, and the growing need for energy-efficient AI solutions. The market benefits from Los Angeles’ robust technology ecosystem, including world-class universities, established semiconductor companies, and a thriving startup community focused on innovative computing solutions.

Investment activity in the region has intensified significantly, with approximately 40% of neuromorphic chip startups receiving funding increases in recent years. Major technology companies are establishing research and development facilities in LA to capitalize on the region’s talent pool and collaborative innovation environment. The convergence of entertainment technology, aerospace, and semiconductor expertise creates unique opportunities for neuromorphic chip applications.

Competitive landscape features a mix of established semiconductor giants, emerging startups, and research institutions working collaboratively to advance neuromorphic computing technology. Strategic partnerships between academia and industry continue to accelerate innovation cycles and commercialization timelines for breakthrough neuromorphic solutions.

Key Market Insights

Market analysis reveals several critical insights shaping the LA neuromorphic chip landscape. Technology adoption is accelerating across multiple sectors, with early adopters demonstrating significant performance improvements and energy efficiency gains through neuromorphic implementations.

1. Energy Efficiency Leadership: Neuromorphic chips demonstrate up to 1000x lower power consumption compared to traditional processors for specific AI workloads
2. Real-time Processing Capabilities: Event-driven architectures enable microsecond response times for critical applications
3. Adaptive Learning Integration: On-chip learning capabilities reduce dependency on cloud-based training and inference
4. Scalability Advantages: Modular designs support seamless scaling from edge devices to data center applications
5. Industry Convergence: Cross-sector collaboration driving innovative applications in automotive, healthcare, and robotics
6. Research Institution Leadership: LA universities contributing breakthrough research in neuromorphic computing architectures
7. Venture Capital Interest: Increasing investment in neuromorphic startups with 85% funding growth year-over-year
8. Patent Activity Surge: Significant increase in neuromorphic chip patent filings from LA-based companies

According to MarkWide Research, the convergence of artificial intelligence requirements and energy efficiency demands creates unprecedented opportunities for neuromorphic chip adoption across diverse industry verticals. The technology’s ability to perform complex computations while consuming minimal power positions it as a critical enabler for next-generation intelligent systems.

Market Drivers

Several key factors are propelling growth in the LA neuromorphic chip market, creating a robust foundation for sustained expansion. Primary drivers include the increasing complexity of AI workloads, growing demand for edge computing solutions, and the critical need for energy-efficient processing architectures.

Artificial Intelligence Evolution represents the most significant driver, as traditional computing architectures struggle to meet the performance and efficiency requirements of advanced AI applications. Neuromorphic chips offer native support for neural network operations, enabling more efficient processing of machine learning algorithms and deep learning models.

Edge Computing Proliferation drives demand for intelligent processing capabilities at the network edge, where neuromorphic chips excel due to their low power consumption and real-time processing capabilities. The technology enables sophisticated AI functionality in resource-constrained environments, supporting the growth of autonomous systems and smart IoT devices.

Autonomous Vehicle Development in LA’s automotive sector creates substantial demand for neuromorphic processing solutions capable of real-time decision-making and adaptive learning. The technology’s ability to process sensor data continuously while learning from environmental changes makes it ideal for autonomous navigation systems.

Sustainability Initiatives across industries drive adoption of energy-efficient computing solutions, with neuromorphic chips offering dramatic reductions in power consumption compared to traditional processors. Organizations seeking to reduce their carbon footprint find neuromorphic technology particularly attractive for AI-intensive applications.

Market Restraints

Despite significant potential, the LA neuromorphic chip market faces several challenges that may impact growth trajectories. Technical complexity represents a primary restraint, as neuromorphic architectures require specialized design expertise and development tools that are still evolving.

High Development Costs associated with neuromorphic chip design and manufacturing create barriers for smaller companies and startups. The specialized fabrication processes and limited production volumes result in higher per-unit costs compared to conventional semiconductors, potentially limiting initial market adoption.

Software Ecosystem Maturity remains a significant challenge, as neuromorphic chips require specialized programming models and development frameworks that differ substantially from traditional computing approaches. The limited availability of experienced developers and software tools may slow adoption rates across potential user organizations.

Standardization Gaps in neuromorphic computing create uncertainty for potential adopters, as the lack of industry-wide standards makes it difficult to ensure interoperability and long-term support. Organizations may hesitate to invest in neuromorphic solutions without clear standardization roadmaps.

Market Education Requirements present ongoing challenges, as many potential customers lack understanding of neuromorphic computing benefits and applications. The need for extensive education and demonstration programs may extend sales cycles and slow market penetration rates.

Market Opportunities

The LA neuromorphic chip market presents numerous opportunities for growth and innovation across multiple sectors. Emerging applications in healthcare, entertainment, and smart city infrastructure create substantial potential for neuromorphic chip deployment and market expansion.

Healthcare Applications offer significant opportunities, particularly in medical device development, patient monitoring systems, and diagnostic equipment. Neuromorphic chips can enable real-time analysis of biological signals, adaptive prosthetics, and intelligent medical implants that learn and adapt to individual patient needs.

Entertainment Industry Integration leverages LA’s position as a global entertainment hub, with opportunities for neuromorphic chips in virtual reality systems, augmented reality applications, and intelligent content creation tools. The technology’s ability to process sensory data in real-time makes it ideal for immersive entertainment experiences.

Smart Infrastructure Development across Los Angeles creates opportunities for neuromorphic chip deployment in traffic management systems, environmental monitoring networks, and intelligent building management. The technology’s energy efficiency and adaptive capabilities make it suitable for large-scale infrastructure applications.

Aerospace and Defense sectors present substantial opportunities, with neuromorphic chips offering advantages for satellite systems, autonomous drones, and intelligent surveillance applications. The technology’s radiation tolerance and low power consumption make it particularly suitable for space-based applications.

Partnership Opportunities with established technology companies, research institutions, and government agencies create pathways for accelerated development and market entry. Collaborative relationships can provide access to resources, expertise, and market channels necessary for successful commercialization.

Market Dynamics

Market dynamics in the LA neuromorphic chip sector reflect the complex interplay between technological innovation, industry demand, and competitive positioning. Innovation cycles are accelerating as companies race to develop breakthrough neuromorphic architectures and applications.

Competitive intensity continues to increase as more companies enter the neuromorphic chip space, driving rapid technological advancement and market differentiation strategies. Established semiconductor companies are investing heavily in neuromorphic research while startups focus on specialized applications and novel architectures.

Supply chain considerations play an increasingly important role, as neuromorphic chip manufacturing requires specialized processes and materials. Companies are working to establish reliable supply chains and manufacturing partnerships to support scaling production volumes.

Customer adoption patterns show increasing interest from early adopters in automotive, robotics, and IoT sectors, with approximately 30% of surveyed companies planning neuromorphic chip evaluations within the next 18 months. The technology’s proven benefits in specific applications are driving broader market interest and adoption consideration.

Regulatory landscape evolution affects market dynamics, particularly in automotive and healthcare applications where safety and efficacy standards must be met. Companies are working closely with regulatory bodies to establish appropriate frameworks for neuromorphic chip deployment in critical applications.

Research Methodology

Comprehensive market analysis of the LA neuromorphic chip sector employs multiple research methodologies to ensure accuracy and completeness. Primary research includes extensive interviews with industry executives, technology developers, and market participants to gather firsthand insights into market trends and dynamics.

Secondary research encompasses analysis of industry reports, patent filings, academic publications, and company financial statements to understand technological developments and market positioning. Data triangulation methods ensure consistency and reliability across multiple information sources.

Market sizing methodologies utilize bottom-up and top-down approaches, analyzing individual company revenues, product shipments, and market share data to develop comprehensive market assessments. Technology adoption modeling incorporates diffusion theory principles to project future adoption rates across different industry segments.

Expert validation processes involve consultation with leading neuromorphic chip researchers, industry analysts, and technology executives to verify findings and validate market projections. Continuous monitoring of market developments ensures research remains current and relevant to rapidly evolving market conditions.

Quantitative analysis incorporates statistical modeling techniques to identify trends, correlations, and growth patterns within the neuromorphic chip market. Qualitative insights from stakeholder interviews provide context and depth to quantitative findings, creating a comprehensive market understanding.

Regional Analysis

Los Angeles has emerged as a leading hub for neuromorphic chip development, benefiting from its unique combination of academic excellence, industry expertise, and venture capital availability. Regional advantages include proximity to major technology companies, world-class research universities, and a collaborative innovation ecosystem.

Silicon Beach continues to attract neuromorphic chip startups and established companies seeking to leverage the region’s talent pool and business environment. The area’s concentration of AI companies, semiconductor firms, and technology investors creates synergies that accelerate neuromorphic chip development and commercialization.

University partnerships with institutions like UCLA, USC, and Caltech provide access to cutting-edge research and top-tier talent. These collaborations have resulted in breakthrough neuromorphic architectures and spawned numerous startup companies focused on commercializing university research.

Aerospace industry presence in LA creates unique opportunities for neuromorphic chip applications in satellite systems, space exploration, and defense applications. The region’s aerospace companies are increasingly interested in neuromorphic solutions for autonomous systems and intelligent spacecraft.

Entertainment industry integration offers distinctive market opportunities not available in other regions, with neuromorphic chips finding applications in virtual production, real-time rendering, and intelligent content creation systems. This sector represents approximately 15% of regional neuromorphic chip demand.

Venture capital ecosystem in LA provides crucial funding for neuromorphic chip startups, with local investors demonstrating increasing sophistication in evaluating neuromorphic technology opportunities. The region’s VC firms have developed expertise in semiconductor investments and maintain strong networks within the neuromorphic chip community.

Competitive Landscape

The competitive landscape in the LA neuromorphic chip market features a diverse mix of established semiconductor companies, innovative startups, and research institutions. Market participants range from global technology giants to specialized neuromorphic chip developers focused on specific applications.

1. Intel Corporation – Leading neuromorphic chip development with Loihi processors and extensive research programs
2. IBM Research – Pioneering TrueNorth neuromorphic architecture and continued innovation in brain-inspired computing
3. Qualcomm – Developing neuromorphic solutions for mobile and edge computing applications
4. BrainChip Holdings – Specialized neuromorphic chip company with Akida processor technology
5. General Vision – LA-based company focusing on neuromorphic pattern recognition solutions
6. Applied Brain Research – Developing neuromorphic computing platforms and software tools
7. SynSense – Creating neuromorphic processors for edge AI applications
8. Innatera – Developing ultra-low power neuromorphic processors for IoT applications

Competitive strategies vary significantly across market participants, with some companies focusing on general-purpose neuromorphic architectures while others target specific application domains. Differentiation factors include power efficiency, processing capabilities, software ecosystem maturity, and application-specific optimizations.

Strategic partnerships play crucial roles in competitive positioning, as companies collaborate with research institutions, system integrators, and end-user organizations to accelerate technology development and market adoption. These alliances often provide access to specialized expertise and market channels.

Intellectual property represents a key competitive asset, with companies building extensive patent portfolios around neuromorphic architectures, algorithms, and applications. Patent activity has increased significantly, with LA-based companies filing approximately 25% more neuromorphic patents compared to previous years.

Segmentation

Market segmentation analysis reveals distinct categories within the LA neuromorphic chip market, each with unique characteristics and growth dynamics. Segmentation approaches include technology type, application domain, end-user industry, and product configuration.

By Technology Type:

• Digital Neuromorphic Chips: Utilizing digital circuits to simulate neural network behavior with high precision and programmability
• Analog Neuromorphic Chips: Employing analog circuits for ultra-low power consumption and real-time processing capabilities
• Mixed-Signal Neuromorphic Chips: Combining analog and digital elements for optimized performance and flexibility
• Memristive Neuromorphic Chips: Incorporating memristive devices for synaptic functionality and learning capabilities

By Application Domain:

• Autonomous Vehicles: Real-time sensor processing and decision-making systems
• Robotics: Adaptive control systems and intelligent behavior implementation
• IoT Devices: Edge intelligence and energy-efficient processing solutions
• Healthcare: Medical device intelligence and patient monitoring systems
• Aerospace: Satellite systems and autonomous spacecraft applications

By End-User Industry:

• Automotive: Advanced driver assistance systems and autonomous vehicle development
• Consumer Electronics: Smart devices and wearable technology applications
• Industrial: Process optimization and predictive maintenance systems
• Defense: Intelligent surveillance and autonomous defense systems

Category-wise Insights

Category analysis provides detailed insights into specific segments within the LA neuromorphic chip market, revealing unique opportunities and challenges for each category. Performance characteristics and market dynamics vary significantly across different neuromorphic chip categories.

Digital Neuromorphic Chips represent the largest category by adoption, offering familiar programming models and development tools that ease the transition from traditional computing architectures. These chips provide high precision and flexibility but typically consume more power than analog alternatives. Market share for digital neuromorphic solutions accounts for approximately 55% of total deployments.

Analog Neuromorphic Chips demonstrate superior energy efficiency and real-time processing capabilities, making them ideal for battery-powered applications and edge computing scenarios. However, they face challenges in programmability and precision compared to digital alternatives. Growth rates in this category are accelerating as power efficiency becomes increasingly critical.

Mixed-Signal Approaches are gaining traction as they combine the benefits of both digital and analog neuromorphic architectures. These solutions offer balanced performance characteristics and are particularly suitable for applications requiring both precision and energy efficiency.

Memristive Neuromorphic Chips represent the most advanced category, incorporating novel memory devices that can store and process information simultaneously. While still in early development stages, these chips show promise for breakthrough applications in adaptive learning and brain-computer interfaces.

Application-specific categories are emerging as companies develop neuromorphic chips optimized for particular use cases, such as vision processing, audio analysis, or sensor fusion. This specialization trend is driving innovation and creating new market opportunities.

Key Benefits for Industry Participants and Stakeholders

Industry participants in the LA neuromorphic chip market enjoy numerous benefits from engagement in this rapidly evolving sector. Technology developers gain access to cutting-edge research, collaborative partnerships, and substantial market opportunities driven by increasing demand for intelligent, energy-efficient computing solutions.

Semiconductor Companies benefit from diversification opportunities and access to high-growth market segments. Neuromorphic technology enables differentiation in competitive markets and provides pathways to premium pricing for advanced functionality. Companies can leverage existing semiconductor expertise while developing new capabilities in brain-inspired computing.

System Integrators gain competitive advantages through early adoption of neuromorphic solutions, enabling them to offer more efficient and capable systems to their customers. The technology’s energy efficiency and real-time processing capabilities create opportunities for innovative system designs and improved performance metrics.

End-User Organizations benefit from reduced operational costs, improved system performance, and enhanced capabilities through neuromorphic chip adoption. Energy savings can be substantial, with some applications demonstrating power consumption reductions of up to 90% compared to traditional processors.

Research Institutions benefit from increased funding opportunities, industry partnerships, and commercialization pathways for their neuromorphic research. The growing market interest creates opportunities for technology transfer and startup formation based on university research.

Investors gain access to high-growth technology sector with significant potential returns. The neuromorphic chip market offers opportunities for both venture capital and strategic investments across the technology development and commercialization spectrum.

SWOT Analysis

Strengths:

• Technological Innovation: Leading-edge neuromorphic architectures offering significant advantages over traditional computing approaches
• Energy Efficiency: Dramatic power consumption reductions enabling new applications and improved sustainability
• Real-time Processing: Event-driven architectures providing microsecond response times for critical applications
• Adaptive Learning: On-chip learning capabilities reducing dependency on cloud-based processing and training
• Regional Ecosystem: Strong LA technology ecosystem with universities, companies, and investors supporting neuromorphic development

Weaknesses:

• Development Complexity: Specialized design requirements and limited availability of experienced developers
• Software Ecosystem: Immature development tools and programming frameworks compared to traditional computing
• Manufacturing Costs: Higher production costs due to specialized processes and limited production volumes
• Market Education: Need for extensive customer education and demonstration of neuromorphic benefits

Opportunities:

• Market Expansion: Growing demand for AI and edge computing solutions creating substantial market opportunities
• Application Diversification: Emerging applications across healthcare, automotive, and entertainment sectors
• Partnership Development: Collaboration opportunities with established technology companies and research institutions
• Government Support: Increasing government funding for neuromorphic research and development programs

Threats:

• Competitive Pressure: Intense competition from established semiconductor companies and emerging startups
• Technology Risk: Potential for alternative technologies to address similar market needs
• Economic Uncertainty: Market volatility affecting investment and adoption decisions
• Regulatory Challenges: Evolving regulations in key application areas like automotive and healthcare

Market Key Trends

Several key trends are shaping the evolution of the LA neuromorphic chip market, driving innovation and creating new opportunities for market participants. Technology convergence represents a major trend, with neuromorphic chips increasingly integrated with other advanced technologies like quantum computing and photonics.

Edge AI Acceleration continues as a dominant trend, with neuromorphic chips enabling sophisticated artificial intelligence capabilities at the network edge. This trend is driven by latency requirements, privacy concerns, and bandwidth limitations that make cloud-based AI processing impractical for many applications.

Sustainability Focus is driving increased interest in neuromorphic solutions due to their exceptional energy efficiency. Organizations across industries are prioritizing green computing solutions, with neuromorphic chips offering dramatic reductions in power consumption for AI workloads.

Application-Specific Optimization represents a growing trend, with companies developing neuromorphic chips tailored for specific use cases rather than general-purpose solutions. This specialization enables better performance and efficiency for targeted applications.

Software Ecosystem Development is accelerating, with increasing investment in development tools, programming frameworks, and simulation environments for neuromorphic computing. MWR analysis indicates that software ecosystem maturity is critical for broader market adoption.

Hybrid Architecture Adoption shows increasing popularity, with systems combining neuromorphic chips with traditional processors to optimize performance across different computational tasks. This approach enables gradual adoption and integration of neuromorphic technology.

Key Industry Developments

Recent industry developments highlight the rapid pace of innovation and commercialization in the LA neuromorphic chip market. Major announcements from leading companies demonstrate increasing commitment to neuromorphic technology development and market expansion.

Product Launches have accelerated significantly, with several companies introducing commercial neuromorphic chip products targeting specific applications. These launches represent important milestones in the transition from research to commercial deployment of neuromorphic technology.

Partnership Formations between neuromorphic chip companies and system integrators are creating pathways for broader market adoption. These strategic alliances combine neuromorphic expertise with market access and application development capabilities.

Funding Announcements continue to demonstrate strong investor interest in neuromorphic technology, with several LA-based companies securing significant venture capital investments. Investment activity has increased by approximately 60% year-over-year, reflecting growing confidence in neuromorphic market potential.

Research Breakthroughs from LA universities and research institutions continue to advance neuromorphic computing capabilities, with recent developments in learning algorithms, architecture optimization, and application-specific designs.

Industry Standards Development efforts are progressing, with industry consortiums working to establish common frameworks and interfaces for neuromorphic computing systems. These standardization efforts are crucial for broader market adoption and interoperability.

Analyst Suggestions

Market analysts recommend several strategic approaches for companies seeking to capitalize on opportunities in the LA neuromorphic chip market. Technology focus should prioritize application-specific optimization while maintaining flexibility for future market evolution.

Partnership Strategy represents a critical success factor, with analysts recommending collaborative approaches that combine neuromorphic expertise with market access and application development capabilities. Strategic alliances can accelerate time-to-market and reduce development risks.

Investment Prioritization should focus on software ecosystem development alongside hardware innovation, as the availability of mature development tools and programming frameworks will significantly impact adoption rates. Companies should allocate approximately 35% of development resources to software and tools development.

Market Education Initiatives are essential for driving adoption, with analysts recommending comprehensive programs to demonstrate neuromorphic benefits and applications to potential customers. Proof-of-concept projects and pilot programs can effectively showcase technology advantages.

Talent Acquisition strategies should focus on building teams with both neuromorphic expertise and application domain knowledge. The interdisciplinary nature of neuromorphic computing requires diverse skill sets spanning neuroscience, semiconductor design, and software development.

Intellectual Property Development remains crucial for competitive positioning, with analysts recommending continued investment in patent development around novel architectures, algorithms, and applications. IP portfolios provide competitive advantages and potential licensing revenue opportunities.

Future Outlook

The future outlook for the LA neuromorphic chip market remains highly positive, with multiple factors supporting continued growth and innovation. Technology maturation is expected to accelerate adoption across diverse industry sectors, with neuromorphic solutions becoming increasingly mainstream over the next decade.

Market expansion is projected to continue at robust rates, driven by increasing demand for energy-efficient AI solutions and the proliferation of edge computing applications. Growth projections indicate the market could expand at a compound annual growth rate exceeding 20% through the next five years.

Application diversification will create new market opportunities as neuromorphic technology matures and development costs decrease. Emerging applications in brain-computer interfaces, smart cities, and environmental monitoring represent significant future growth potential.

Technology convergence with other advanced computing approaches like quantum computing and photonic processing may create hybrid solutions with enhanced capabilities. These convergent technologies could address computational challenges beyond the scope of individual approaches.

Manufacturing scale-up is expected to reduce production costs and improve accessibility of neuromorphic solutions. As production volumes increase, economies of scale will make neuromorphic chips more competitive with traditional processors for broader applications.

According to MarkWide Research projections, the LA neuromorphic chip market is positioned to become a significant segment within the broader semiconductor industry, with potential for substantial economic impact and technology leadership for the region.

Conclusion

The LA neuromorphic chip market represents a transformative opportunity at the intersection of artificial intelligence, semiconductor technology, and energy efficiency. Market dynamics indicate strong growth potential driven by increasing demand for intelligent, adaptive computing solutions across diverse industry sectors.

Regional advantages including world-class research institutions, established technology companies, and robust venture capital ecosystem position Los Angeles as a leading hub for neuromorphic chip development and commercialization. The convergence of academic excellence, industry expertise, and investment capital creates an ideal environment for neuromorphic innovation.

Technology maturation continues to progress rapidly, with breakthrough developments in architectures, applications, and manufacturing processes. The transition from research to commercial deployment is accelerating, with multiple companies launching neuromorphic products and securing significant market traction.

Market opportunities span numerous sectors including automotive, healthcare, aerospace, and entertainment, with each offering unique applications for neuromorphic computing capabilities. The technology’s energy efficiency and real-time processing advantages create compelling value propositions for diverse use cases.

Future prospects remain highly favorable, with continued innovation, expanding applications, and growing market acceptance supporting sustained growth. The LA neuromorphic chip market is well-positioned to play a leading role in the next generation of computing technology, offering significant opportunities for companies, investors, and stakeholders committed to advancing brain-inspired computing solutions.