Lawelawe Technology Services


Lawelawe is a Hawaiian word meaning “TO CARE FOR OTHERS”. The Lawelawe community of companies was created to support the parent company Native Hawaiian Organization Charity’s nonprofit initiatives to uplift economically disadvantaged Native Hawaiians and families and preserve the Native Hawaiian heritage. Lawelawe’s portfolio includes 8 SBA certified 8(a) NHO small businesses with a DCAA approved accounting system and facility clearances.
KAILUA, HI 96734-4401
Phone: 808-757-9084
CAGE Code: 8JYD2
Year Established: 2020
SBA 8(a) Case Number: C00lfZ
SBA 8(a) Entrance Date: 11/08/2020
SBA 8(a) Exit Date: 11/07/2029

Business Type: SBA Certified 8(a), Native American, Native Hawaiian Organization Owned Firm, Other Minority Owned, Self-Certified Small Disadvantaged Business

The Hawaiian Super 8(a) Advantage

  • Ability to receive direct awards. No J&A required for DoD direct award contracts up to $100M ($4M for all others) DFARS 219.808-1(a) and Exemption from competitive thresholds
  • Directly negotiate contracts with the Government 13CFR124.503©
  • Awards cannot be protested 13CFR124.517(a)
  • Agencies may attribute the experience or past performance of a parent or affiliated company
  • Agencies may claim both Small Disadvantaged Business (SDB) and Native credits


Cybersecurity, Risk Management Framework, IA/ML, Agile, Scrum, IT Portfolio & Investment, Help Desk, Telecommunications, Design & Development, DevSecOps, Human-Centered Design, HW/SW Dev & Testing, HW/SW Asset Management, Cloud and Analytics & Visualization.

Artificial Intelligence

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing (NLP), speech recognition and machine vision.AI programming focuses on three cognitive skills: learning, reasoning, and self-correction.

Learning processes: This aspect of AI programming focuses on acquiring data and creating rules for how to turn the data into actionable information. The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task.

Reasoning processes: This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome.

Artificial neural networks and deep learning artificial intelligence technologies are quickly evolving, primarily because AI processes large amounts of data much faster and makes predictions more accurately than humanly possible.

While the huge volume of data being created daily would bury a human researcher, AI applications that use machine learning can take that data and quickly turn it into actionable information. As of this writing, the primary disadvantage of using AI is that it is expensive to process the large amounts of data that AI programming requires

Self-correction processes: This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible.


Lawelawe Technology Services gives you the power to collaborate using the Internet and intranet in your organization to make doing business more efficient.

Our cloud computing solutions allow you and your employees to share, edit, and publish documents in a unified system, improve communication and e-mail, increase marketing abilities, and enhance your everyday business processes.

Our approach puts your business needs first, creating industry-specific solutions to get you moved to—and benefiting from—the cloud now. This cloud technology is not just a company decision, but a resource decision. It is not just businesses that benefit from cloud computing. The cloud has transformed our lives as individuals as well. Many of us use cloud services every day. When we update our status on social media, binge a new streaming series, or check our bank accounts we are most likely using applications that are hosted by cloud services. These apps are accessed through an internet connection rather than installed on our hard drives or devices.

Cyber Security

The only way to catch a sophisticated attacker in time is to leverage advanced analytics within your SIEM. Stay ahead of the attackers by using technology such as machine learning to give your security team better insights and less false positives.

Built on big data, Lawelawe SIEM combines log management; user and entity behavior analytics; and security orchestration, automation, and response into a complete, end-to-end security operations platform. It collects massive volumes of data in real time, uses patented machine learning algorithms to detect advanced threats, and provides artificial intelligence-based security incident response capabilities for fast remediation.

A cybersecurity firm focused on delivering best of breed technology and award-winning client service to businesses around the globe. We grant our clients the ability to police their data and solutions and perform the functions of their operation with our technology and cyber approach baked in. We offer proven and innovative solutions that keep our clients on the right side of trends and provide solutions to protect them from ever evolving threats.

Through our collections of managed services, intelligence gathering and cybersecurity defense tools along with our Incident Response solutions, we offer a robust option for guarding our client’s organizations. We don’t stop at the alert however, we get involved in preparation, process and guidance to detect and protect the environment. When all of the safeguards prevent a malicious attack, we are quick to detect and provide a mitigation plan to avoid further damage to the environment. Lawelawe looks forward to working with you and your organization to protect and defend your environment.

Data Analytics

At Lawelawe Technology Services we are versed in Data Analytics and have been a part of several successful and growing projects. There are four primary types of data analytics:

Descriptive, diagnostic, predictive, and prescriptive analytics. Each type has a different goal and a different place in the data analysis process. These are also the primary data analytics applications in business.

Descriptive Analytics

Helps answer questions about what happened. These techniques summarize large datasets to describe outcomes to stakeholders. By developing key performance indicators (KPIs,) these strategies can help track successes or failures. Metrics such as return on investment (ROI) are used in many industries. Specialized metrics are developed to track performance in specific industries. This process requires the collection of relevant data, processing of the data, data analysis and data visualization. This process provides essential insight into past performance.

Diagnostic Analytics

Helps answer questions about why things happened. These techniques supplement more basic descriptive analytics. They take the findings from descriptive analytics and dig deeper to find the cause. The performance indicators are further investigated to discover why they got better or worse. This generally occurs in three steps:

Identify anomalies in the data. These may be unexpected changes in a metric or a particular market.

Data that is related to these anomalies is collected.

Statistical techniques are used to find relationships and trends that explain these anomalies.

Predictive Analytics

Helps answer questions about what will happen in the future. These techniques use historical data to identify trends and determine if they are likely to recur. Predictive analytical tools provide valuable insight into what may happen in the future and its techniques include a variety of statistical and machine learning techniques, such as: neural networks, decision trees, and regression.

Prescriptive Analytics

Helps answer questions about what should be done. By using insights from predictive analytics, data-driven decisions can be made. This allows businesses to make informed decisions in the face of uncertainty. Prescriptive analytics techniques rely on machine learning strategies that can find patterns in large datasets. By analyzing past decisions and events, the likelihood of different outcomes can be estimated.

These types of data analytics provide the insight that businesses need to make effective and efficient decisions. Used in combination they provide a well-rounded understanding of an organizations needs and opportunities. At Lawelawe Technology Services, we would appreciate the opportunity to work with your organization to uncover the answers to your data riddles.

Healthcare Informatics

Cutting-edge solutions to identify, explore, and implement effective uses of clinical data to help improve decision-making and problem-solving efforts.

Health informatics includes the professions of medical informatics and nursing informatics, which are the two primary roles related to this field of endeavor. It is sometimes also called bioinformatics, biomedical informatics, and medical informatics. In each case, a clinical discipline, such as medicine or nursing, is combined with education in the field of computers, software, and other electronic applications.

Among other tasks, these two groups are often charged with creating an electronic system to document all patient medical information, commonly called an electronic medical record or electronic health record — an EMR or EHR. Lawelawe Technology Services Inc has extensive experience providing health informatics services to clients in the commercial and federal government.

IT Infrastructure

Our data-driven programs enable IT leaders to objectively measure success, develop an impactful IT strategy, and systematically improve performance year over year.

Each year we invest millions of dollars in our library of best-practice tools, templates, training materials, and step-by-step methodologies proven to accelerate projects and transform IT departments.

The days of static IT operating models are done. As business strategy becomes increasingly reliant on technology services, IT operations must continuously respond to rapidly changing market conditions. An optimized IT operating model has strategies in place to adapt its governance, sourcing, process, and structure to the evolving needs of its internal and external customers.

With the rapid evolution of the business market, it is becoming harder and harder for organizations to keep up with changes to the operating environment. An IT strategy empowers IT departments to understand the implications of the blurring lines between business and IT and appropriately adapt. It sets the groundwork for aligning IT approaches with business goals

In order to achieve the proper business context, we begin the stakeholder interviews, validate corporate goals Identify macro trends, business drivers, and external factors. We build value proposition by confirming the list of business needs, defining strategy mandate and scope, outlining opportunities and organizational implications. We carefully conduct SWOT analysis and uncover pain points and gaps. We document current capability performance while building business capability map. We follow that up with the creation of the vision, mission, guiding principles, and goals. We round that up by developing the target operating model with a definition of the governance model and critical success factors. We establish Key performance indicators to measure against our standards while staying the course.

Network Operations

Securing your environment remains critical to continuous network and systems operation, however application availability and performance is key to driving business goals for enterprises and service providers.

The shift of applications to the cloud will be the key driver in network operations spending more time on application availability and performance going forward. Specifically, network operations teams will need to ensure internal and external networks and services do not impede application availability but instead accelerate its delivery.

As organizations address many of the challenges associated with the pursuit of network operations best practices, we must get smarter. To assure optimal network and application performance, network operations teams need detailed and accurate network path visibility, along with routing and application layer data. Digital Experience Monitoring (DEM) has emerged as a new Gartner IT category to address user experience, human or machine, across every dependency, whether network or service, inside or outside your company. DEM upends traditional siloed monitoring tools designed for internal IT environments, such as network performance management (NPM) and application performance monitoring (APM), by looking at the entire digital journey and how every part of it drives successful user actions. By focusing on visibility into digital experience, DEM helps bridge IT initiatives to business outcomes, such as revenue and customer satisfaction.

DEM solutions leverage a variety of technologies, including synthetic transaction monitoring (STM), network visibility, endpoint, and real user monitoring (RUM) to deliver a real-time 360° view of user experience. Together, these technologies enable you to deliver on the promise of a dramatically transformed IT landscape.

Continuously monitoring a wide variety of information and network systems that include communications circuits, cloud resources, LAN/WAN systems, routers, switches, firewalls and VoIP systems and application delivery.

Providing timely response to all incidents, outages, and performance issues.

Categorizing issues for escalation to appropriate technical teams.

Recognizing, identifying, and prioritizing incidents in accordance with customer business requirements, organizational policies, and operational impact.

Collecting and reviewing performance reports for various systems and reporting trends in performance to senior technical personnel to help them predict future issues or outages.

Documenting all actions in accordance with standard company policies and procedures.

Notifying customer and third-party service providers of issues, outages, and remediation status.

Working with internal and external technical and service teams to create and/or update knowledge base articles.

Performing basic systems testing and operational tasks (installation of patches, network connectivity testing, script execution, etc.).

Supporting multiple technical teams in 24×7 operational environments with high uptime requirements. Varied shift schedules may include day or evening hours.

Lawelawe Technology Services would appreciate the opportunity to impart on your organization, many of the techniques that we’ve utilize successfully in our other client experiences.

Systems Engineering

Systems Engineering is the process by which we build quality and simplicity into complex systems. We use a set of management and technical tools to analyze problems and provide structure to projects involving system development.

We focus on ensuring that requirements are adequately defined early in the process and that the system built satisfies all defined requirements:

Establishing, balancing, and integrating stakeholders’ goals, purpose and success criteria, and defining actual or anticipated customer needs, operational concept and required functionality, starting early in the development cycle.

Establishing an appropriate lifecycle model, process approach and governance structures, considering the levels of complexity, uncertainty, change, and variety.

Generating and evaluating alternative solution concepts and architectures.

Baselining and modelling requirements and selected solution architecture for each phase of the endeavor.

Performing design synthesis and system verification and validation.

While considering both the problem and solution domains, considering necessary enabling systems and services, identifying the role that the parts and the relationships between the parts play with respect to the overall behavior and performance of the system, and determining how to balance all these factors to achieve a satisfactory outcome.


541519 Other Computer Related Services (Primary)
541490 Other Specialized Design Services
541511 Custom Computer Programming Services
541512 Computer Systems Design Services
541513 Computer Facilities Management Services
541611 Administrative Management and General Management Consulting Services
541612 Human Resources Consulting Services
541614 Process, Physical Distribution and Logistics Consulting Services
541618 Other Management Consulting Services
541620 Environmental Consulting Services
541690 Other Scientific and Technical Consulting Services
541713 Research and Development in Nanotechnology
541714 Research and Development in Biotechnology (except Nanobiotechnology)
541715 Research and Development in the Physical, Engineering, and Life Sciences
561990 All Other Support Services
624230 Emergency and Other Relief Services
624310 Vocational Rehabilitation Services

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