Custom LLM Saved 14,000 Support Hours Annually
Atlas Retail Group
What They Were Facing
Atlas had 5 years of customer support data trapped in siloed systems. Their team of 45 support agents spent 60% of their time answering repetitive questions. They needed AI, but regulatory requirements meant no data could leave their infrastructure.
How We Solved It
We built a proprietary LLM from an open-source foundation model, fine-tuned on their 5 years of support transcripts, product documentation, and internal knowledge bases. The model runs entirely on their own servers with zero external data transmission. We then integrated it into a unified Command Center dashboard that connects their CRM, helpdesk, inventory, and analytics tools.
Phase by Phase
Data Architecture
Cleaned, structured, and annotated 2.3M support tickets, 800 product documents, and 15K internal wiki pages for training data preparation.
Model Training
Fine-tuned a 13B parameter open-source model on their proprietary data. Ran 47 evaluation cycles to achieve 94% accuracy on domain-specific queries.
Command Center Build
Built a unified dashboard connecting Salesforce, Zendesk, Shopify, and Google Analytics. AI layer enables natural language queries across all data sources.
On-Premises Deployment
Deployed the model on their private infrastructure. Trained the support team and established monitoring, retraining, and feedback pipelines.
The Numbers
Client Testimonial
“They built us a custom LLM that runs entirely on our servers. Our legal team approved it in days because the data never leaves our infrastructure. It is the single best technology investment we have ever made.”
CTO, Atlas Retail Group
Want results like Atlas Retail Group?
Book a strategy call. We will show you exactly how we would build a system like this for your business.