Services
Enterprise AI & RAG Pipelines
Custom AI integrations that solve concrete enterprise problems: semantic search, document retrieval, and specialized workflows.
We deploy domain-specialized AI models and vector architectures to automate high-friction knowledge retrieval and data extraction.
Enterprise RAG Assistant (developed during Nikhil Anand's tenure as Lead Data Engineer at Aretove Technologies) indexes 10,000+ technical documents using LangChain, OpenAI embeddings, ChromaDB, and FastAPI, achieving 90%+ measured retrieval accuracy and reducing technical onboarding time by 40%.
Dr Sakshi Neuro Physio features a custom interactive 3D anatomical pain mapping interface on /assessment connected to clinician diagnostic dashboards.
Frequently Asked Questions
What is RAG and how does it help my business?
Retrieval-Augmented Generation (RAG) is an AI architecture that answers queries by securely searching your own documents. It automates complex enterprise knowledge retrieval.
Can you build AI systems using my company's private data?
Yes, we integrate semantic document indexing directly with your private data sources. We use secure vector databases like ChromaDB to ensure information isn't leaked.
How accurate are your AI retrieval systems?
Our specialized RAG pipelines routinely achieve 90%+ measured retrieval accuracy. We optimize vector embeddings and chunking strategies tailored to your specific technical domains.
Work
Related work
2025
90%+ Retrieval · 10K+ docs
Enterprise RAG Assistant
Intelligent Document Retrieval & Semantic Search Engine for clinical assessment automation and knowledge discovery.
2026
Clinic 3D assessment
Dr Sakshi Neuro Physio
Clinic site plus a 3D pain-map assessment. Patient and clinician views.