Cybergizer

Cybergizer was hired by Cloudvisor, a cloud consulting company, to develop and maintain an internal billing system. The goal was to re-bill customers for AWS usage, which required data parsing, filtering, pricing, and calculating. A backend portal for admins was also created. Cybergizer was chosen for this project due to their competitive pricing, good value for cost, and a great culture fit. Between two to five employees were assigned to this project, and the company was discovered through an online search.

Robatz Network, a software company, hired Cybergizer for IT staff augmentation. The primary goals were to harness Cybergizer's expertise in AI/LLM and to augment their teams. The scope of work included turning doctor-patient conversations into written documents using an LLM speech-to-text model, which was later shared with the patient's family. The project required handling complex medical terms and ensuring the output was accurate and reliable. Cybergizer was selected for their good value for cost, company values, and deep expertise. The company was discovered at an event and two to five employees were assigned to the project.

Rubyness, a software development agency, hired Cybergizer to integrate advanced AI capabilities into their core business applications. The objectives were to automate complex workflows, enhance user experience through personalization, and improve the overall intelligence of their software platform. Cybergizer built an LLM-powered assistant trained on their internal knowledge and wired it into their backend. They delivered new APIs, a lightweight workflow module to automate common requests, and an admin dashboard to manage prompts, access, and basic usage logs. The company was chosen for their good value for cost and technical depth in AI. They were discovered through a referral and two to five employees were assigned to the project.