Question 1

What is custom LLM development?

Accepted Answer

Custom LLM development is the process of fine-tuning or training a large language model on your proprietary business data so it reasons accurately within your specific domain — rather than relying on general web knowledge. Aurion Tech builds these models for enterprise clients and deploys them to production in 6 weeks.

Question 2

What is the difference between a custom LLM and using an AI API?

Accepted Answer

An AI API (like GPT-4 or Claude) is a general-purpose model with no knowledge of your company's data, terminology, or processes. A custom LLM is fine-tuned on your proprietary datasets, producing domain-specific accuracy, consistent tone, and answers grounded in your actual knowledge base — not the public web.

Question 3

How long does generative AI implementation take?

Accepted Answer

Aurion Tech deploys generative AI solutions in 6 weeks through a four-phase process: Discovery, Strategy, Development, and Deployment. This is significantly faster than internal ML team builds, which typically take 12–18 months.

Question 4

Which industries benefit most from generative AI?

Accepted Answer

Healthcare and FinTech see the highest ROI from generative AI due to complex compliance requirements and large volumes of proprietary data. Aurion Tech also serves e-commerce, manufacturing, education, and real estate clients with industry-specific AI solutions.

Question 5

What is retrieval-augmented generation (RAG)?

Accepted Answer

Retrieval-augmented generation (RAG) is an AI architecture that grounds model outputs in your internal knowledge base — documents, databases, or proprietary content — rather than relying on training data alone. This eliminates hallucinations and keeps answers current without retraining the model.

AI & Generative AI

What this engagement delivers.

Custom LLM Fine-Tuning

Retrieval-Augmented Generation

Multimodal Pipelines

Guardrails & Evaluation

Ready to accelerate your intelligence?