Where does Intelligine run and how is it deployed?
Intelligine is deployed as private AI infrastructure within your own VPC (AWS, Azure, GCP), as a private instance inside Intelligineβs cloud, inside your cloud account, or fully on-premises. All model routing, processing, memory, and agent execution run within your controlled environment.
Who owns the data and AI models when using Intelligine?
Your organization retains full ownership of all data, embeddings, fine-tuned or custom models, configurations, and outputs. Intelligine does not train external models on your data and never shares prompts, files, or conversations with third parties.
How many AI models can Intelligine connect to?
Intelligine provides private, anonymized access to over 40 leading LLMs, including GPT-4, Claude 3, Gemini, LLaMA, DeepSeek, and Mistral. You can also connect your own internal or custom fine-tuned models, all orchestrated through a single AI operating system.
Does Intelligine support custom model training?
Yes, Intelligine allows you to train your own private AI model using your proprietary datasets, internal documents, and domain-specific knowledge. Your model is fully owned by your company and runs securely inside your infrastructure, with Intelligine handling training, tuning, and orchestration.
What makes Intelligine different from public LLM tools like ChatGPT or Claude?
Intelligine is a private, multi-model AI infrastructure platform, not a public chatbot. It's deployed in your VPC or on-prem, anonymizes requests, orchestrates multiple models, and enforces enterprise-grade governance, ensuring your data never trains public models or leaves your environment.