Enterprise-Grade Generative AI
Secure, private Large Language Models (LLMs) that know your business better than you do.
Core Capabilities
Generic LLMs like ChatGPT are powerful but lack your institutional knowledge. SefarAi specializes in RAG (Retrieval-Augmented Generation) and Fine-Tuning strategies that marry the reasoning power of frontier models with the factual accuracy of your proprietary database. The result is an AI workforce that adheres to your brand voice, security protocols, and strategic goals.
RAG Architecture
Connect LLMs to your live databases for hallucination-free, factual responses.
Fine-Tuning
Retrain open-weights models (Llama 3, Mistral) on your specific specialized corpora.
Semantic Search
Replace keyword search with vector-based understanding for document retrieval.
Content Automation
Generate reports, marketing copy, or code documentation at scale.
Common Applications
Legal Contract Review
Automating risk analysis across thousands of PDFs for a law firm.
Internal Knowledge Bot
A secure HR and Tech Support bot that answers employee queries instantly.
Automated Reporting
Turning raw SQL data into executive summaries every morning.
Technology Stack
LangChain
OpenAI API
Pinecone
LlamaIndex
Hugging Face
DockerExecution Protocol
Our systematic approach to deployment.
Security Audit
Defining the boundaries of what the AI can and cannot access.
Vectorization
Converting your knowledge base into high-dimensional vector embeddings.
Prompt Engineering
System-level instruction design to ensure brand consistency and safety.
Evaluation
Rigorous testing against "Golden Sets" of answers to ensure accuracy.
Client Impact
Real-world results from organizations that deployed our architecture.
Magic Circle Law Firm
Manual review of M&A documents was taking weeks, creating bottlenecks.
Deployed a secure, local LLM to extract key clauses and flag risks.
Healthcare Provider
Doctors spending 2+ hours daily on clinical notes and coding.
Integrated an ambient listening AI to draft notes automatically.
Frequently Asked Questions
Can we run this on-premise?
Yes. We specialize in deploying quantized open-source models (like Llama-3-70b) on your own GPU clusters for total privacy.
How do you prevent hallucinations?
We use RAG architectures where the model is forced to cite sources from your documents. If the answer isn't in the context, the model declines to answer.
What is the cost per query?
It varies. Hosted APIs have per-token costs; self-hosted models have fixed infrastructure costs. We model both scenarios to find your ROI sweet spot.
Ready to implement GenAI & LLM Integrations?
Schedule a consultation with our solutions architects to discuss your specific infrastructure and goals.
Book ConsultationRelated Services
AI & Machine Learning
Transform raw data into actionable foresight with custom neural architectures designed for high-compliance enterprise environments.
Automation Workflows
Beyond simple scripts. We build intelligent agents that handle complex, multi-step business logic autonomously.
NLP & Chatbot Systems
Move beyond "Sorry, I didn't get that." Deploy context-aware agents that resolve issues and drive sales.