40 LLMs on One Unified Platform

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Raghav Ram: 40 LLMs, One Answer Jim Griffin
Michael Koved: The Economics of Generative AI Jim Griffin
Nachiket Mehta: Inside the Data Mesh at Wayfair Jim Griffin
Zach Elewitz: The Leak Stops Here Jim Griffin
Pavel Iakubovskii: Kaggle Master at Hugging Face Jim Griffin
Max Mozgovoy: the End of Traditional UX Research? Jim Griffin
Marwa Kechaou: A Keen Eye for Computer Vision Jim Griffin
Iqbal Hossain: The UofAZ Knowledge Map Story Jim Griffin

40 LLMs on One Unified Platform

Curtail risk of employees using shadow AI to get answers from models you don't support.

Ensure that your data never trains third-party LLMs.
For about what you'd pay for a license to just one or two LLMs, why not gain secure access to an entire AI ecosystem of 40+ LLMs, intelligently orchestrated and enterprise-ready?

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3 Patents Pending | SOC2 | HIPAA | 80+ Integrations

Transform a single LLM subscription into a full AI ecosystem

Intelligine has redefined enterprise AI by bringing together more than 40 large language models—including GPT, Gemini, LLAMA, Claude, DeepSeek (offline version), Qwen (offline version), Perplexity and MistralAI—under one orchestration layer for about the same price per seat as an enterprise subscription to just one or two LLMs.

A patent-pending approach selects the best four models (and the best sequence) for each specific user query, so the best-suited models are selected, based on your context.

Persistent memory ensures that users don't need to 'Start over from Square One' to set the context and preferences every time they ask a new question in a different session.

Ensure that all LLM interactions build your unique enterprise knowledge that will organically train your own internal AI-based model.

Intelligine Animation

Four Powerful Engines. One Seamless Platform

Step One: Implement in 2 Weeks

Arena

With just one prompt, get results from 4 optimal models and fuse those answers into a collated response that trains your own AI.

Vault

Query your internal documents in a secure, private, role-based RAG ecosystem, keeping all data private and compliant.

Step Two*

*User queries to Arena and Vault leverage persistent memory for enterprise learning

Brain

Fine-tune your private AI model based on your internal documents, subject-matter expertise and brand guidelines, better meeting user needs vs. a generic LLM.