Protype creation
The Skazy.IA team offers to test the feasibility of a solution using your data and structure. An iterative POC allows the creation of a prototype, gathers your feedback, and refines the model to best meet your business needs.
A proof of concept is a prototype: An initial simplified version that must demonstrate the idea works before proceeding further.
A proof of concept is a prototype: An initial simplified version that must demonstrate the idea works before proceeding further.
A proof of concept is a prototype: An initial simplified version that must demonstrate the idea works before proceeding further.
A proof of concept is a prototype: An initial simplified version that must demonstrate the idea works before proceeding further.
Protype creation
Prototyping, POC, or Proof Of Concept allows testing multiple AI models to select the one that best fits your business case.
We generally refer to POC in the singular, but this step is iterative. Several prototypes are created so that the selection and optimization of the model are most relevant depending on field data and especially their imperfections.
Indeed, in the majority of cases, the data available for the completion of the project have some imperfections. The purpose of a POC is to be robust in the face of these imperfections. This key step will also allow you to quantify the impact of AI on your business processes.
Protype creation
Prototyping, POC, or Proof Of Concept allows testing multiple AI models to select the one that best fits your business case.
We generally refer to POC in the singular, but this step is iterative. Several prototypes are created so that the selection and optimization of the model are most relevant depending on field data and especially their imperfections.
Indeed, in the majority of cases, the data available for the completion of the project have some imperfections. The purpose of a POC is to be robust in the face of these imperfections. This key step will also allow you to quantify the impact of AI on your business processes.
Protype creation
Prototyping, POC, or Proof Of Concept allows testing multiple AI models to select the one that best fits your business case.
We generally refer to POC in the singular, but this step is iterative. Several prototypes are created so that the selection and optimization of the model are most relevant depending on field data and especially their imperfections.
Indeed, in the majority of cases, the data available for the completion of the project have some imperfections. The purpose of a POC is to be robust in the face of these imperfections. This key step will also allow you to quantify the impact of AI on your business processes.
Analysis and Interface
LLM: Gemini, Llama3, ChatGPT, Mistrall
Document scanning: Google Cloud Vision, Google Document AI, Tesseract, Paddle Paddle
Audio transcription: Google Speech-to-Text
LLM: Gemini, Llama3, ChatGPT, Mistrall
Document scanning: Google Cloud Vision, Google Document AI, Tesseract, Paddle Paddle
Audio transcription: Google Speech-to-Text
Customized training and coaching
Initiation
et coaching
sur mesure
Other AI solutions
We combine technical expertise and strategic vision to offer tailored AI solutions that optimize your operations. Our services cover predictive analytics and conversational AI integration, with a collaborative approach to precisely meet your needs.
Other AI solutions
We combine technical expertise and strategic vision to offer tailored AI solutions that optimize your operations. Our services cover predictive analytics and conversational AI integration, with a collaborative approach to precisely meet your needs.
Other AI solutions
We combine technical expertise and strategic vision to offer tailored AI solutions that optimize your operations. Our services cover predictive analytics and conversational AI integration, with a collaborative approach to precisely meet your needs.
