innovative consulting

Our Story

At Code Cognition AI, CEO Brent Zook and CTO Elliott Lamboy lead a cutting-edge journey into artificial intelligence solutions. Brent Zook, passionate about AI’s potential in real estate and construction, has guided the company towards pioneering in AI model development. His strategic vision is perfectly complemented by Elliott Lamboy’s deep technical expertise and unique understanding of veteran issues, shaped by his experience as a USAF Flight Nurse.

This dynamic leadership team propels Code Cognition AI to the forefront of creating transformative AI solutions that reshape how businesses operate and solve problems across various industries. Brent’s entrepreneurial acumen, combined with Elliott’s technological know-how, establishes Code Cognition AI as a key player in the AI space, offering innovative and practical AI applications for today’s businesses.

Our Mission

Our mission is to empower businesses with tailored AI solutions that drive growth, efficiency, and innovation. By integrating AI into diverse sectors, we aim to create strategies that not only solve complex problems but also harness opportunities in the ever-evolving digital landscape.

Data Center Initiative

To further our capabilities and service offerings, Code Cognition AI is undertaking an ambitious project to build a state-of-the-art data center. This facility will not only bolster our infrastructure for developing advanced AI solutions but also provide a secure, scalable environment for data management and analytics, positioning us at the forefront of AI innovation.

Executive Team

BRENT ZOOK

Founder, CEO

Brent Zook, a U.S. Army veteran and entrepreneurial leader, is the CEO and Co-Founder of Code Cognition AI, driving the company’s AI innovations. His military service has fostered a disciplined, strategic approach, enhancing his leadership in integrating AI into various industries. At Code Cognition AI, Brent has been pivotal in creating AI models that revolutionize business operations and customer service. His experience as a veteran shapes the company’s culture of hard work and balance, fostering a nurturing yet ambitious environment. Under Brent’s guidance, Code Cognition AI is redefining industry standards with transformative, user-friendly AI solutions.

ELLIOTT LAMBOY

Founder, CTO

Elliott Lamboy, a U.S. Air Force veteran and technology expert, serves as the CTO of Code Cognition AI. His military experience, notably as a Flight Nurse, has equipped him with leadership skills and adaptability, which he applies to spearheading AI innovations at the company. His transition from the Air Force to healthcare and technology, backed by IBM certifications in AI Engineering and Full Stack Development, enables him to create AI solutions that are both innovative and empathetic to users’ needs. Elliott’s veteran perspective enriches Code Cognition AI’s approach, ensuring technical excellence aligned with real-world applications.

AI Team

Datasets and Data Preparation

Expert in curating and preparing comprehensive datasets, ensuring high-quality inputs for optimized AI model performance

AI Models

Specialist in developing and refining AI models, focusing on creating tailored solutions that address complex business challenges.

Cybersecurity

Dedicated to safeguarding our AI systems and client data, implementing robust security protocols to protect against cyber threats.

Hugging Face Manager

Manages the integration and utilization of Hugging Face tools, enhancing our AI models with cutting-edge natural language processing capabilities.

Office Team

Office Manager Engineer

Ensures smooth office operations and tech management, supporting our team’s efficiency.

Office Assistant

Aids in daily office tasks, vital for organizational flow and support.

Marketing Director

Drives our brand’s growth and outreach, strategizing impactful marketing initiatives.

Front End Web Dev

Crafts engaging user interfaces, enhancing our online presence and user experience.

Data Infrastructure

Sr. Data Center Manager

Oversees the operation and maintenance of our data center, ensuring optimal performance and reliability of our AI infrastructure.

Sr. Cloud Engineer

Leads in designing and managing cloud-based solutions, enhancing scalability and efficiency of our AI services.

Cloud Engineer

Focused on developing and optimizing cloud systems, supporting the deployment and operation of our AI applications.

Network Engineer

Specializes in establishing and maintaining robust network architectures, vital for seamless AI data processing and communication.

Infrastructure

Includes real estate, advanced GPU chips, and data infrastructure.  Ongoing operational costs to be factored (e.g., electricity, maintenance).

Financial Projections

Initial Capital Requirement: $6 million.

Breakdown

Infrastructure: $5 million.

Salaries and Wages: Variable based on final team size and salary negotiations

Operating Expenses: To be determined based on office lease, utilities, insurance, marketing, and other overheads

Contingency Fund: Recommended to allocate a portion of the capital for unforeseen expenses.

The Team

TeamRoleAverage Year Salary
Executive TeamCEO (Brent Zook)$150,000
Executive TeamCTO (Eliud Lamboy)$150,000
AI TeamML (Datasets and Data Preparation)$100,000
AI TeamML (AI Models)$100,000
AI TeamCybersecurity$130,000
AI TeamHugging Face Manager$150,000
Office TeamOffice Manager Engineer or MBA$120,000
Office TeamFull Stack Engineer (Web Services) (CI/CD)$120,000
Office TeamOffice Assistant$65,000
Office TeamMarketing Director$120,000
Office TeamGovernment Policy Liaison$70,000
Data CenterData Center Manager (Senior Engineer)$175,000
Data CenterCloud Engineer (Senior Engineer)$175,000
Data CenterData Center Engineer$110,000
ExpenseProjection
Data Center Construction and Setup$4,000,000
Office Lease and Setup$200,000
Marketing and Advertising$150,000
Technology and Software$100,000
Legal and Accounting Services$50,000
Insurance$30,000
Utilities and Maintenance$40,000
Travel and Meetings$20,000
Miscellaneous and Contingency$100,000

Data Center Features GB200 NVL72

Unlocking Real-Time Trillion-Parameter Models

GB200 NVL72 connects 36 Grace CPUs and 72 Blackwell GPUs in a rack-scale design. The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts a 72-GPU NVLink domain that acts as a single massive GPU and delivers 30X faster real-time for trillion-parameter LLM inference.

The GB200 Grace Blackwell Superchip is a key component of the NVIDIA GB200 NVL72, connecting two high-performance NVIDIA Blackwell Tensor Core GPUs and an NVIDIA Grace CPU using the NVIDIA® NVLink®-C2C interconnect to the two Blackwell GPUs.

We believe in transforming your business with the power of Artificial Intelligence