Software Engineering

Custom software applications that add enterprise value.

Optimoz works with enterprises to build, maintain, and upgrade their most important applications.

We bring best-in-class capabilities in five areas:

Embedding AI capabilities to improve workflows, supercharge productivity, and deliver insights that accelerate business performance
Embedding modern DevSecOps and CI/CD processes from the start to improve time to delivery, reliability, security, manageability, upgradability, and communication between all members of the software development team
Integrating open source and commercial software products and components into the application to improve performance, time to delivery, and upgradability and lower the cost of development.
Building applications that scale effortlessly and economically – as user demand and volumes of data increase

Injecting modern software development techniques – to improve the performance of applications, including:

  • Microservices that perform specialized functions, such as payments, with high reliability.
  • APIs to manage seamless data exchange with other applications.
  • Automated infrastructure management to improve reliability and user experience.

Our services include:

Technology Evaluation and Selection –– In any software development effort, several key technology choices need to be made based on the desired outcome, cost of delivery, skills of the current and desired team, and user expectations. These choices include:

  • Cloud platform selection
  • Cloud infrastructure components
  • Programming language
  • Databases
  • AI/ML components
  • Analytics and reporting tools
  • Third-party components, such as microservices

We do the research and make fact-based recommendations on the technologies and approaches that will be suit your needs.

Application Architecture – We work with your enterprise to make the architectural decisions that will drive the performance of an application, including

  • Selecting the structural components and interfaces to use in the application.
  • Determining the expected interfaces between those components.
  • Configuring selected components into appropriate subsystems.
  • Defining the interfaces between components.
  • Aligning architectural decisions with business requirements.
Software Engineering – We put in place and manage software development teams that can get the job done. Our teams typically include application architects, senior and mid-level developers, AI/ML experts, data analysts, QA engineers, DevSecOps professionals. We can either provide a full team or work as part of a blended team – providing specific technical skills and project leadership, as needed.
DevSecOps & CI/CD – We put in places practices to improve your software development processes, better integrate your technical teams, supercharge the performance of your applications and infrastructure, improve security, and ensure that software can be released on-time with very high quality.
Project Management – Many workstreams must come together to deliver a quality software application on time and on budget. We work with your team to project manage your software development project to completion.

Leading with AI: The Game-Changer for Tomorrow’s Leaders

AI is revolutionizing leadership by driving innovation, enabling data-driven decisions, boosting productivity, and fostering resilience in a fast-changing world. For leaders, embracing AI isn’t optional—it’s the key to staying relevant, ethical, and future-ready in a tech-driven era.

Harnessing Artificial Intelligence to Revolutionize Healthcare

The integration of artificial intelligence (AI) into healthcare is revolutionizing the way patient records are managed and accessed, paving the way for improved care delivery and patient outcomes. As healthcare systems face the challenge of managing vast amounts of patient data, AI technologies offer innovative solutions to streamline processes, personalize treatment, and ensure data security.

Building Bridges: The Power of Collaboration Between Teams and Leadership

The integration of artificial intelligence (AI) into healthcare is revolutionizing the way patient records are managed and accessed, paving the way for improved care delivery and patient outcomes. As healthcare systems face the challenge of managing vast amounts of patient data, AI technologies offer innovative solutions to streamline processes, personalize treatment, and ensure data security.

Healthcare with AI: A New Era of Efficiency and Personalization

The integration of Artificial Intelligence (AI) into healthcare systems is not just a futuristic vision; it’s a transformative reality that is reshaping the landscape of medical care delivery. For healthcare providers, embracing AI technologies offers a pathway to enhanced operational efficiency, superior patient outcomes, and a new level of care personalization.

Large Language Model Foundation & Retrieval Augmented Generation

Large language models (LLMs) have taken the tech world by storm, and everyone is rushing to adapt them for their use cases. These adaptations can be in the form of directly using vanilla models, fine-tuning (using algorithms such as PEFT-LoRA), and Retrieval Augmented Generation (RAG).

The Double-Edged Sword of Interoperability in Development

In the fast-paced realm of software development, the concept of interoperability serves as both a beacon of progress and a cautionary tale. This principle, which advocates for disparate systems and applications to work seamlessly together, holds the promise of a more integrated and efficient technological ecosystem. However, as with any significant shift in paradigms, it brings with it a set of challenges and concerns, particularly regarding the pace of innovation and the landscape of consumer choices.

DevSecOps solutions that support the delivery of large-scale AI-driven enterprise applications.

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