The Foundation
What is a Custom LLM?
A Custom LLM is a private, AI-powered system specifically trained using your organization's internal documents, processes, rules, compliance frameworks, and domain-specific terminology.
Unlike public AI tools such as ChatGPT or Gemini, a Custom LLM understands your business context, securely processes your proprietary data, and delivers precise, actionable insights tailored to your enterprise needs. It acts as a knowledge assistant, automation engine, and decision-support system.
Key Enterprise Benefits
Why Enterprises Need Custom LLMs
Comparison: Public AI vs. Custom Enterprise Solutions
| Feature | Public AI Tools | Custom Enterprise LLM |
|---|---|---|
| Knowledge Base | General knowledge only | Your company data (SOPs, ERP, Contracts) |
| Context | Generic responses | Understands workflows & regulations |
| Security | No control over data | Fully private (AWS/Azure/On-prem) |
| Integration | Limited automation | Integrated with ERP, SAP, Slack |
| Flexibility | One-size-fits-all | Customized for HR, Legal, Finance |
Business Pain Points Solved
Most organizations struggle to use their own institutional knowledge effectively.We turn that chaos into clarity.
Common Challenges
Information Scattered
Data across emails, PDFs, ERPs. Employees spend 30–40% of time just searching.
Risk & Inaccuracy
Public AI generates generic answers. Leads to legal, compliance, and decision risks.
Knowledge Loss
When experts leave, expertise is lost. New hires require repeated, expensive training.
Silos & No Hub
Teams operate in silos with no unified knowledge hub, slowing collaboration.
What a Custom LLM Fixes
Real-life Scenarios
Unlock the Real Power of Your Enterprise Knowledge
You're sitting on years of documents, SOPs, emails, contracts, product manuals, CRM and ERP data -What if your team could access all that knowledge instantly?
Imagine an AI Assistant that:
That’s your own Private Custom LLM - built for your business.
Let’s Turn Your Knowledge into a Business Superpower
Real World Application
Use Cases by Department & Industry
Custom LLMs act as AI Assistants, Automation Engines, and Knowledge Experts across your entire organization.
HR & People Ops
Customer Support
Finance & Compliance
Legal & Contracts
BI & Strategy
IT & DevOps
Sales Automation
Procurement
Healthcare
Banking & FinTech
Logistics
Real Estate
Manufacturing
Retail
Education
AI Agents: The Workforce of Tomorrow
OPERATIONAL AGENTSKnowledge Assistant
Answers employee queries instantly using your specific enterprise knowledge base and SOPs.
Sales Proposal Agent
Automatically generates personalized proposals, quotes, and initial contract drafts for prospects.
Contract Analysis Agent
Reviews legal documents, extracts key clauses, compares versions, and highlights potential risks.
Finance Report Agent
Aggregates data from ERP systems to generate real-time financial reports, forecasts, and insights.
IT Support Agent
Autonomously handles internal tickets, guides users through troubleshooting, and routes complex issues.
RFP Automation Agent
Streamlines procurement by generating RFPs, RFQs, and comparing vendor responses automatically.
Ready to See How Custom LLM Can Work for Your Business?
Your use case is unique - and so should your AI.Let us help you design a Custom LLM tailored to your department, workflows, and industry.
From HR and Legal to Finance, Manufacturing, Healthcare, Real Estate, and Government - We build LLMs that understand your processes, policies, and data.
Take the Next Step
How It Works
Custom LLM Architecture
A multi-layered, enterprise-grade architecture designed for security, scalability, and domain-specific intelligence.
Enterprise Data Sources
Ingestion & Preprocessing
Knowledge Storage
LLM Core Intelligence
Security & Compliance
AI Agents & Apps
Monitoring & RLHF
Enterprise Data Sources
We connect and collect data from multiple existing business repositories to build a centralized knowledge base.
Data Ingestion & Preprocessing
AI-powered ETL pipelines clean and structure the data. We use OCR for scanned docs, remove sensitive PII, and tag metadata for better retrieval.
Knowledge Storage & Vector Indexing
We convert documents into embeddings enabling semantic search.
| Vector DB | Purpose |
|---|---|
| Pinecone | Scalable similarity search |
| Milvus | High-speed enterprise AI search |
| Weaviate | Hybrid semantic & keyword search |
LLM Core Intelligence Layer
The heart of the system. We select the best model strategy for your needs:
Security, Privacy & Compliance
Your data never leaves your infrastructure unless authorized. We implement RBAC, VPC deployment, and AES-256 encryption. Fully compliant with GDPR, HIPAA, SOC2, and ISO 27001.
AI Agent & Application Layer
Flexible Deployment Options
On-Premise
Full private deployment within your internal network. Air-gapped capable.
Cloud-Based
Hosted securely on your VPC in AWS, Azure, or Google Cloud.
Hybrid
Sensitive data stays on-prem, while the AI engine scales in the cloud.
AI-as-a-Service
Fully managed, subscription-based model. Zero maintenance.
Methodology
Our Custom LLM Development Process
We follow a structured, proven approach to ensure your model delivers measurable business efficiency and decision-support capabilities.
Discovery & AI Strategy
Analyze business goals, use cases, workflows, data maturity, and compliance requirements.
Data Collection & Preparation
Extract data from CRM, ERP, SharePoint, SAP, HRMS, contracts, and knowledge bases.
Knowledge Engineering
Document parsing, OCR, embeddings creation, vector indexing, and PII masking.
Model Selection & Fine-Tuning
Fine-tune Llama, Mistral, or GPT models using enterprise documents & instructions.
RAG Setup (Retrieval-Augmented Generation)
Enable real-time document retrieval from vector DBs and enterprise systems.
Agent Development & Integration
Create AI agents for HR, legal, support. Integrate with internal tools via APIs.
Security & Deployment
RBAC, encryption, audit logs, and hosting on AWS/Azure/On-Prem.
Monitoring & Continuous Improvement
RLHF, usage analytics, and model optimization.
🎯 Key Deliverables
Ongoing Support
Technologies, Tools & Frameworks
We leverage industry-leading tools to build secure, enterprise-grade AI systems.
Large Language Models
Vector Databases
Development Frameworks
Security & Compliance
Integrations
Deployment
Let’s Build the Right AI Stack for Your Enterprise
We help you choose the most secure, scalable, and cost-efficient AI architecture -whether it's Azure OpenAI, AWS Bedrock, Google Vertex, or On-Prem Custom LLM.
Want to see which AI stack is right for your business?
Capabilities
Key Features of Our Custom LLM Solutions
Intelligent business assistants that go far beyond chat-automating workflows, ensuring compliance, and driving decisions.
Domain-Trained Intelligence
Understands your industry language, policies, products, contracts, and workflows natively.
Context-Aware Answers
Uses real enterprise data (ERP, CRM, SOPs) for accurate, verifiable responses without hallucinations.
Workflow Automation
Generates proposals, reports, contracts, audit summaries, and policy drafts automatically.
Multi-Agent Collaboration
Specialized agents (HR, Finance, Legal, IT) work together to solve complex problems.
Continuous Learning
Automatically improves based on user interactions, new documents, and updated policies.
Seamless Integration
Works with SharePoint, SAP, Salesforce, HubSpot, Jira, Slack, Teams, and Zoho CRM.
Smart AI Applications Built for Enterprises
Data Security, Compliance & Governance
Security and compliance are at the foundation of our Custom LLM solutions. Unlike public AI tools, our enterprise solutions are built with zero data leakage and audit-ready architecture.
Enterprise-Grade Security Architecture
Active| Security Layer | Implementation |
|---|---|
| Identity & Access | RBAC, SSO, OAuth2, SAML, Azure AD |
| Network Security | VPC Isolation, VPN, Private Endpoints |
| Encryption | AES-256 (Rest) + TLS/SSL (Transit) |
| Zero Data Retention | No data used for external model training |
| API Security | JWT, API Gateway, IP Allowlisting |
Regulatory Compliance
Data Governance Features
Deployment Options - You Choose the Security Level
| Deployment Type | Suitable For |
|---|---|
| On-Premise | Government, finance, insurance, legal firms needing air-gapped security. |
| Private Cloud (AWS/Azure) | Mid-to-large enterprises requiring scalable, isolated VPC environments. |
| Hybrid Deployment | Data stays on-prem, computation runs in secure cloud. Best of both worlds. |
| Fully Managed AI-as-a-Service | Fast adoption with managed security and maintenance. |
Still Have Questions About Custom LLMs for Your Business?
Every enterprise has its own workflows, data complexity, compliance needs, and AI readiness.
Instead of guessing -Let’s discuss your specific use case, architecture options, costs, and deployment approach.
Get Personalized Guidance
Common Questions
Frequently Asked Questions
Everything you need to know about building your private Enterprise LLM.
01Can we build our own private LLM using our enterprise data instead of public AI?
Yes. We help enterprises build fully private LLMs that are trained exclusively on your company’s internal documents, policies, SOPs, CRM/ERP data, contracts, product manuals, and knowledge bases.
Unlike public AI tools, your custom LLM:
02What’s the difference between RAG, Fine-Tuning, and Custom LLM Training?
| Method | Best For | Pros | Limitations |
|---|---|---|---|
| RAG | Knowledge retrieval, Q&A | No training cost, real-time context | Doesn’t deeply learn domain |
| Fine-Tuning | Domain language, tone | Learns terminology & patterns | Needs curated data |
| Full Custom LLM | Highly specialized use cases | Complete ownership, tailored | High cost, complex |
Most enterprises start with RAG, then move to fine-tuning, and finally build a custom private LLM for long-term scalability.
03What type of enterprise data can be used to train a custom LLM?
You can use structured and unstructured business data, including:
We apply data cleaning, OCR, text extraction, metadata tagging, and PII masking before training.
04How do we ensure security, privacy, and compliance (GDPR, HIPAA, SOC2)?
We design LLM systems with enterprise-grade security controls:
Your LLM can be deployed in private cloud, VPC, or completely on-premise - ensuring full control.
05Can Custom LLMs integrate with systems like SAP, Salesforce, or SharePoint?
Yes. We build APIs and AI Agents that work seamlessly across applications, using your existing workflows - not replacing them.
06How accurate are custom LLMs with business language and tone?
Once fine-tuned, your Custom LLM specifically learns:
We constantly improve model accuracy using feedback loops, human-in-the-loop learning, and continuous training.
07What are the real use cases in HR, Finance, Legal, and Sales?
| Department | Example Use Cases |
|---|---|
| HR | Policy bot, onboarding assistant, resume screening |
| Legal | Contract analyzer, risk extraction, clause comparison |
| Finance | Expense report generator, budgeting assistant |
| IT | Ticket automation, SOP assistant, knowledge retrieval |
| Sales | Proposal generator, RFP writer, lead assistant |
08What is the cost and timeline? Can we start with a POC?
We recommend starting with a PoC to validate your business case, followed by scalable deployment.
| Project Type | Timeline | Investment |
|---|---|---|
| AI Pilot / PoC | 4–6 weeks | Low |
| MVP LLM + RAG | 8–12 weeks | Medium |
| Full Custom LLM | 3–6 months | Customized |
09Should we deploy on cloud, hybrid, or on-prem?
| Deployment Type | Suitable For |
|---|---|
| Private Cloud | Mid-to-large enterprises (AWS, Azure, GCP) |
| Hybrid | Data-sensitive organizations |
| On-Premise | Banks, Legal, Defense, Government |
| AI-as-a-Service | Fast adoption without IT complexity |
10How do we maintain and update our LLM after deployment?
We offer full LLM lifecycle management, including:
You can choose Managed AI-as-a-Service, or we can help your team run it internally.