Flyps

Flyps was hired by a design-centric venture builder to develop a large language model (LLM) solution for data management. The project involved recognizing the company's needs and capabilities, presenting a mock-up, and preparing the project's architecture to meet the identified challenges. Flyps then implemented the solution, integrating ChatuGPT and LlamaIndex, indexing the necessary data, and creating a clear project interface. The CEO of the design company found Flyps through a referral and chose them due to their proximity and cultural fit. The project was completed by 2-5 Flyps employees and was deemed effective.

In another project, Flyps was contracted by Gamedust SA, a VR entertainment company, to maximize the performance of their game engine, build competitive gameplay adaptable to the player's skills, and create an AI model to adjust the product to user needs and expectations. Flyps built an infrastructure regulating gameplay based on individual skills and abilities, created a cloud-based reality model for extensive testing, and improved the game engine. The COO of Gamedust SA found Flyps through other means and selected them for reasons not specified. The project was completed by a team of 2-5 Flyps employees and was successful in maximizing player experience.

Flyps was also engaged by Provectus Algae Pty Ltd, a biotechnology company, to create algorithms for analyzing images from different microscopes to identify certain objects. The project involved designing the solution, building the architecture, training models, and optimization. Flyps tested various prototypes and solutions, ultimately developing new algorithms and software that reduced analysis time from 30 seconds to just 2 seconds. The Senior Software Engineer of Provectus Algae found Flyps through a referral and a conference, and chose them due to their high ratings, budget-friendly pricing, cultural fit, and value for cost. The project was completed by 2-5 Flyps employees and was a great success.