Private LLMs & AI Copilots
Own Your AI Future. Deploy Secure, Custom-Trained LLMs.
For organizations where data privacy is non-negotiable and generic AI falls short, we provide end-to-end services to fine-tune and deploy Large Language Models as a core, proprietary asset within your secure infrastructure.
When Public AI Platforms
Reach Their Limit.
Standard API Usage
- Data Privacy & Security Risks
- Lack of True Differentiation
- Limited Customization & Control
- Unpredictable Costs & Rate Limiting
Private LLM Implementation
- Maximum Data Security & Full Privacy
- Deep Domain Expertise via Fine-Tuning
- Create a Defensible Competitive Moat
- Total Control Over Performance & Costs
End-to-End Enterprise
LLM Services
LLM Fine-Tuning
Create a Domain-Specific Expert
We transform a powerful base model into a specialized expert for your industry. By training a model on your proprietary data, we create an AI that understands your unique jargon, processes, and customer needs.
- // Data Preparation & Cleansing
- // Model Selection (Open Source or Commercial)
- // Supervised Fine-Tuning
- // Performance Benchmarking
Private LLM Deployment
Secure, On-Premise or VPC Deployment
We build and deploy your LLM within your secure environment—be it your Virtual Private Cloud (AWS, GCP, Azure) or on-premise servers. You maintain full control over your data and the model itself.
- // Infrastructure Architecture Design
- // Secure Model Deployment
- // Inference API Setu
- // Ongoing Monitoring & Maintenance
Our Phased Approach to
LLM Implementation
Unlock Unprecedented Capabilities
Hyper-Intelligent Internal Knowledge Base
An internal chatbot for your employees that can answer complex questions about your proprietary processes, technical documentation, and historical project data with complete accuracy and security.
- // Tech
- // Engineering
- // Manufacturing
AI-Powered Research & Due Diligence
A model trained on your legal, financial, or scientific data to drastically accelerate research, contract analysis, and due diligence, identifying risks and opportunities in minutes, not weeks.
- // Legal
- // Finance
- // Pharmaceuticals
Next-Generation Customer Support AI
A support agent trained on your entire history of customer interactions and product specs, capable of handling complex, multi-turn support conversations and escalations with expert precision.
- // SaaS
- // E-commerce
- // Telecommunicationse
Technical & Strategic Inquiries
What are the hardware requirements for deploying an LLM on-premise?
Hardware requirements depend on your model size and inference needs. Typically, you'll need high-performance GPUs (A100s or H100s), sufficient RAM (128GB+), and fast storage. We conduct a detailed infrastructure assessment to provide exact specifications tailored to your use case and performance requirements.
How much data is required to effectively fine-tune a model?"
The data requirements vary by use case, but generally, you'll need thousands to tens of thousands of high-quality examples. We help optimize your existing data and can implement data augmentation techniques to maximize the effectiveness of your training dataset.
How do you ensure the security of our proprietary data during the fine-tuning process?
We implement end-to-end security protocols including data encryption in transit and at rest, isolated training environments, secure key management, and can conduct the entire process within your VPC or on-premise infrastructure. We also provide detailed security audits and compliance documentation.
What open-source models do you recommend and why?
We typically recommend models like Llama 2/3, Mistral, or Code Llama depending on your use case. The choice depends on factors like model size constraints, performance requirements, licensing considerations, and domain-specific capabilities. We conduct thorough benchmarking to select the optimal base model for your needs.
What does the ongoing maintenance of a private LLM entail?
Ongoing maintenance includes monitoring model performance, managing infrastructure scaling, applying security updates, retraining with new data, optimizing inference costs, and providing technical support. We offer comprehensive maintenance packages tailored to your operational requirements.
Build Your Foundational AI Asset.
Deploying a private LLM is a significant strategic investment. Let our principal architects walk you through a confidential consultation to assess your organization's readiness and potential.