Skip to content
Vangrove.tech

Service Deep Dive

Custom AI Models & LLMs

Zero data leakage and private vector intelligence trained on your proprietary business records.

Model Latency

< 200ms

Data Leakage

0%

IP Ownership

100% Weights

Extraction Accuracy

99.2%

Architectural Overview

Built for performance and scalability.

We build custom AI capabilities: fine-tuned open-source LLMs (Llama 3, Mistral), vector-database RAG pipelines, document OCR extraction engines, and predictive classification models.

Primary Technology Stack:

PythonPyTorchFastAPIHugging FaceLangChainQdrantDocker

What You Receive

Full-Scope Deliverables

  • Proprietary LLM Fine-Tuning

    Fine-tuning open-source models on your domain terminology and private knowledge.

  • Vector Database RAG Pipelines

    Semantic search and contextual Q&A engines using Pinecone, Qdrant, and pgvector.

  • Document & OCR Extraction AI

    Automated extraction of structured tables and data points from complex PDF scans.

  • Containerized FastAPI Endpoints

    Low-latency GPU-accelerated microservices ready for enterprise API consumption.

Engineering Rigor

The Vangrove Standard

How our approach directly differs from off-the-shelf agency implementations.

✕ Standard Agency Approach

  • ✕Sending sensitive corporate data to public cloud APIs
  • ✕Generic responses without domain context
  • ✕High per-token API costs

✓ Vangrove Tech Engineering

  • ✓Private self-hosted models in your dedicated VPC
  • ✓Context-aware RAG querying your exact documentation
  • ✓Deterministic zero-leakage security

Knowledge Base & Direct Answers

Frequently Asked Questions about Custom AI Models & LLMs

Direct, factual answers to help you evaluate technical feasibility, timing, and integration requirements.

No. We deploy self-hosted private models and vector stores within your dedicated cloud VPC.