Machine Learning Solutions
SERVICE OFFERING & SOLUTIONS
We train custom embeddings, fine-tune models, and deploy self-hosted open LLMs. Built with custom safety layers and containerized GPU nodes.
The Problem
Off-the-shelf APIs lack industry specificity, run slow for high-throughput batching, and expose confidential customer parameters to third-party endpoints.
Our Solution
We train custom embeddings, fine-tune models, and deploy self-hosted open LLMs. Built with custom safety layers and containerized GPU nodes.
Real-World Use Cases
Proprietary Fine-Tuning & Weight Alignment
Time-Series Forecasting & Telemetry Models
Self-Hosted Model Deployment in Private VPC
What Your Business Gets
Train models on proprietary company parameters for high precision.
Secure self-hosted architectures ensuring zero corporate data leaks.
Optimize model sizes for high-throughput latency reductions.
Tools & Platforms We Use
Who This Is Built For
Deploy self-hosted Llama 3 models on GPU container clusters.
Optimize industry operational parameters and model routing pathways.
Predict store allocations and supply volumes automatically.
Fine-tune custom embeddings on clinical datasets securely.
Project Pricing & Scope
Feasibility & Blueprint
Flexible Plan
Detailed feasibility report, base model selection, and dataset alignment.
Custom Fine-Tuning & Deploy
Custom Quote
End-to-end dataset prep, training, self-hosted deployment, and monitoring.
Frequently Asked Questions
Do you support self-hosted LLMs?
Yes, we configure models (such as Llama 3 or Mistral) on self-hosted container clusters.
How is data privacy handled?
Because models run in your VPC environment, data never leaves your secure cloud boundary.
Let's discuss your business goals.
Book a free consultation with our team. We'll listen to your needs, review your current workflow, and show you practical ways to save time and grow.