FAQs

Our AI enabled chatbot walks you through our proven, industry standard discovery process. Then our stateless inference API seamlessly integrates with existing system architecture, interprets system documentation, and factors in user input to deliver modernization recommendations, current and future state system documentation, and process optimization recommendations.

Stateless → Each request is independent. The API does not remember what you sent before and does not store session data.

Inference → Running a trained model to generate outputs (like predictions, classifications, embeddings, or text completions), as opposed to training or fine-tuning.

API → An interface (usually HTTP/REST or gRPC) that lets you call the model from your code.

Yes, Kavaya AI calls out to OpenAI and, by default, OpenAI does not use inputs or outputs from the API for model training or improvement for business/API users.

Additionally, all data sent to OpenAI via the API is encrypted in flight (TLS 1.2 or higher) and at rest (AES-256 or equivalent).

Please note, while OpenAI does not use data for training, some data is retained temporarily for security / abuse detection / compliance. However, if your use case requires that your data is never used for anything beyond serving your request then opt-out controls can be enabled.

We can integrate with most legacy infrastructure. Our application is not confined to specific SaaS technology or coding languages.

Our application can consume most types of system data and documentation (word, excel, PDF, CSV, etc.) and can integrate directly with your Google Drive for ease of use. We can also connect directly to your Github repository to analyze the legacy system metadata.