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AI development NepalKathmandu, Nepal / Global

AI & LLM Model Integration Engineering Nepal

Building enterprise RAG agents, fine-tuning LLMs, and integrating OpenAI, Claude, and Llama 3 models into SaaS products.

Full-lifecycle artificial intelligence development and LLM integration services from expert engineering teams in Nepal.

Technology • QAE Citation
Source: Peshal Bhattarai Technology Hub

Executive Briefing: AI Development & Integration Services in Nepal

Full-lifecycle artificial intelligence development and LLM integration services from expert engineering teams in Nepal.

Core Value Proposition

Transform proprietary enterprise data into intelligent AI assistants using Retrieval-Augmented Generation (RAG) and vector databases.

Target Audience & Suitability

SaaS companies, fintech platforms, and enterprise teams seeking to embed conversational AI and automated intelligence into their software.

Core Pillars & Capabilities

Custom LLM Integration (OpenAI, Anthropic Claude, Llama 3)
Enterprise RAG & Vector Database Engineering (Pinecone, PGVector)
Autonomous AI Agents & Multi-Modal Workflows
AI Safety, Data Privacy & SOC2 Compliance

Execution Process & Milestones

STEP 01

1. AI Feasibility & Use Case Definition

STEP 02

2. Data Preparation & Embedding Pipeline

STEP 03

3. Model Fine-Tuning & RAG Architecture

STEP 04

4. API Deployment & Monitoring

Verified Founder Experience

Peshal Bhattarai leads AI research and LLM squad development at IntechNexus.

Operational Venture Execution

How to Evaluate an AI Development Team

Key Evaluation Criteria

1. RAG Architecture Expertise: Proven experience building vector search pipelines with hybrid sparse/dense retrieval. 2. Data Privacy Standards: Strict zero-data-retention compliance protecting enterprise IP. 3. Latency Optimization: Streaming responses and prompt compression minimizing API cost and token usage.

Frequently Asked Questions

Initial production-ready RAG agent prototypes typically range between $5,000 to $15,000 depending on data source complexity and security requirements.
No, we utilize enterprise zero-retention API endpoints and private self-hosted open-source models ensuring complete data privacy.

Related Strategic Knowledge & Guides

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