Private AI Models. Total Corporate Privacy.
Unlock your corporate knowledge safely. We build Retrieval-Augmented Generation (RAG) pipelines and deploy LLMs locally or on private cloud infrastructure.
Corporate AI Security Challenges
Public API Leak Risks
Sending proprietary data to commercial public APIs violates data policy and exposes business secrets.
Unstructured Knowledge Silos
PDFs, wikis, and contracts spread across servers with no centralized, structured querying mechanism.
Model Hallucinations
Generative models guessing facts instead of basing answers on actual enterprise history.
What We Build For Your Enterprise
Private LLM Deployment
We deploy open-weight models (Llama 3, Mistral, Qwen) in your virtual private server (VPS/Cloud) with complete isolation.
Structured RAG Pipelines
Enabling semantic search and prompt injection on company databases, wikis, PDFs, and legal contracts.
Data Pipelines & Warehousing
Building automated ETL processes, data consolidation, and analytics databases (PostgreSQL/pgvector).
Intelligent Workflows
Building autonomous agents that run structured tasks, draft responses, and trigger custom code.
Enterprise AI Stack
Frequently Asked Questions
Q.Do my data leave our servers when using LLMs?
No. Unlike ChatGPT APIs, we deploy open models locally on your own servers or virtual private cloud. The data never leaves your infrastructure, maintaining absolute secrecy.
Q.Do I need expensive GPUs to run local AI?
Not necessarily. Depending on the model size and query volume, we can optimize models to run on high-performance cloud CPUs or budget GPUs (like AWS G5 instances) efficiently.