Custom AI Development
Specialized Model Fine-Tuning & Private Cloud Deployment
Overview
For companies with strict compliance, proprietary codebases, or specialized domains, relying on public APIs is not an option. Custom AI Development builds bespoke models tailored specifically to your corporate protocols. We fine-tune models, perform quantization for lower latency, and deploy private inference endpoints on AWS, Azure, or GCP.
Operational Bottlenecks Addressed
High API usage costs for large-scale summarization or data processing workflows.
Strict regulations preventing the transmission of data to external AI servers.
Off-the-shelf models lacking deep understanding of proprietary industry terminology.
The Altimet AI Solution
We design end-to-end model pipelines: curating training data, executing fine-tuning runs (QLoRA), verifying model performance, and deploying containerized models via vLLM inside your private cloud.
System Pipeline Flow
Data Curation
Cleans, structures, and formats your internal datasets into training inputs.
Fine-Tuning Loop
Runs parameter-efficient fine-tuning on enterprise cloud clusters.
Evaluation Matrix
Compares model accuracy, speed, and cost parameters against baseline metrics.
Inference Server
Deploys models using vLLM in Docker container configurations.
Targeted Operational Metrics
72%
Model API Cost Savings
0%
Data Privacy Risk
40ms
Inference Latency
Deployment Phasing
Architecture & Integration FAQs
Operational details and technical requirements.
Not sure where AI fits into your business?
Let's identify the opportunities together.
Schedule a complimentary 30-minute AI Opportunity Assessment. We will review your key operational workflows and pinpoint where AI can generate immediate, measurable returns.