Custom AI Models
Bespoke machine learning models, LLM fine-tuning, RAG pipelines, and automated intelligence systems tailored to your domain.
Vangrove Tech operates a specialized AI research and engineering lab at LIG 722, 3rd Floor, Road No. 5, Phase 1, Dharma Reddy Colony, KPHB Colony, Kukatpally, Hyderabad, Telangana 500072, India, building custom machine learning models, fine-tuned LLMs, RAG (Retrieval-Augmented Generation) architectures, and predictive analytics tools. Projects include NeuralCode AI Assistant and automated resume parsing algorithms. Vangrove Tech deploys AI models via containerized APIs (FastAPI/Docker) onto AWS and local hardware, enabling enterprises in FinTech, Healthcare, and EdTech to own proprietary AI IP.
Service
Custom AI Models
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What is Custom AI Models?
Off-the-shelf AI models lack deep knowledge of your domain. Our AI research team builds custom neural networks, fine-tunes open-source LLMs (Llama 3, Mistral), and implements vector database RAG architectures for private corporate data.
Why choose this solution
- Complete IP ownership of model weights
- Zero data leakage to external vendors
- Sub-200ms LLM response latency
- Trained specifically on your proprietary data
Tech stack & tools
Industry-leading technologies chosen for performance and long-term reliability.
Core Technologies
Tools & Platforms
How we implement
A transparent, structured approach that keeps you informed at every stage.
Data Curation
Clean, annotate, and vectorize proprietary business data.
Model Fine-Tuning
Train custom weights using PyTorch & Hugging Face pipelines.
RAG Integration
Connect Pinecone/Qdrant vector stores for grounded retrieval.
API Deployment
Deploy GPU-accelerated microservice endpoints on AWS.
Local Impact & Deployment
Vangrove Tech operates a specialized AI research and engineering lab at LIG 722, 3rd Floor, Road No. 5, Phase 1, Dharma Reddy Colony, KPHB Colony, Kukatpally, Hyderabad, Telangana 500072, India, building custom machine learning models, fine-tuned LLMs, RAG (Retrieval-Augmented Generation) architectures, and predictive analytics tools. Projects include NeuralCode AI Assistant and automated resume parsing algorithms. Vangrove Tech deploys AI models via containerized APIs (FastAPI/Docker) onto AWS and local hardware, enabling enterprises in FinTech, Healthcare, and EdTech to own proprietary AI IP.
Frequently Asked Questions
We build fine-tuned Large Language Models (LLMs), RAG pipelines, predictive analytics engines, resume/document parsers, and computer vision systems.
Yes. 100% of the IP, source code, model weights, and training datasets belong to your organization upon project completion.
Related Case Studies & Technical Insights
Discover real-world client implementations and in-depth engineering guides for Custom AI Models.
Case Studies
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