IN THIS ARTICLE

In this article, you’ll learn what HallianAI is and how it is built to help organizations. You’ll discover how its custom AI assistants and automated workflows work to unlock organizational knowledge, automate complex tasks, and enhance decision-making—all while ensuring data privacy and client control. Additionally, you’ll understand the platform’s core technologies, security features, and practical benefits for improving efficiency and reducing errors.

Contents

1. What is HallianAI?

HallianAI is an enterprise-grade, secure, privately hosted generative AI platform designed for engineering, construction, manufacturing, and higher education organizations. It is licensed software installed and managed on client infrastructure—on-premises, private cloud, or hybrid—ensuring maximum data privacy, security, and control.

The platform empowers organizations to unlock the unique value of their people and knowledge by providing custom AI assistants and AI workflows that amplify collaboration, streamline complex tasks, and restore meaning to work—without sacrificing privacy or human dignity.

AI Model Hosting and Management

• Model Access: Secure API calls to major cloud providers (Amazon Bedrock, Microsoft Azure AI Foundry, Google Vertex AI) provide access to 1800+ large language models.
• Client Control: Clients manage model selection within their own HallianAI instance via an intuitive Settings module, choosing models based on benchmarks, cost, latency, and context window size.
• Specialized Models: For domain-specific needs (e.g., engineering calculations), clients can select reasoning models like Deep Seek.
• No Local Model Hosting: Avoids costly GPU infrastructure and maintenance.
• No Fine-Tuning Yet: Currently rely on robust system message engineering for behavior control; fine-tuning planned for future releases.
• Governance & Bias Mitigation: Cloud APIs provide content scrubbing and guardrails; HallianAI system messages enforce question filtering, audience control, and copyright compliance.

AI Assistants and Workflows

• AI Assistants: Custom-built assistants trained on curated organizational knowledge bases, using retrieval augmented generation (RAG) combining semantic and vector search for accurate, context-aware, cited responses.