01
Phase 1 — Discovery
Define Objectives & Model Selection
We analyze your business context, define core requirements, and evaluate model trade-offs (e.g., GPT-4o vs self-hosted LLaMA 3) to outline a clear project architecture.
Strategy
Large Language Models (LLMs)
Deploy Enterprise LLMs That Power Real Business Outcomes
Transform your workflows with custom large language models, agentic pipelines, and private RAG systems. We integrate, fine-tune, and scale production-grade AI tailored for your business.
Services Portfolio
Our LLM Services Stack
From model tuning to multi-agent deployment, discover specialized capabilities to implement secure, robust, and cost-effective AI.
Integration
Custom LLM Integration
Connect world-class models to your system.
Supercharge your existing tools by wiring them to OpenAI, Claude, or open-source LLaMA models. We handle secure API connections and structural pipelines, transforming static software into responsive systems.
OpenAI APIAnthropic ClaudeLlamaIndexLangChain
Agentic
LLM-Powered AI Agents
Automate complex multi-step workflows autonomously.
Deploy autonomous systems that plan, invoke tools, and collaborate to achieve specific business goals. Increase your operational efficiency by automating multi-stage tasks that traditionally require manual input.
CrewAILangGraphn8nPython
RAG
Retrieval-Augmented Generation (RAG)
Answer queries using your secure private knowledge.
Enable LLMs to query your private documents, databases, and wikis without hallucination. Safeguard your data integrity while providing context-aware responses to support teams, customers, and executives.
PineconeLlamaIndexOpenAILangChain
Conversational
Conversational AI & Chatbots
Deliver natural customer support around the clock.
Provide human-like, context-aware support across chat, email, and messaging channels. Resolve support tickets faster, capture quality leads, and escalate complex inquiries to your agents seamlessly.
n8nMake.comGPT-4oLangChain
Fine-Tuning
Model Fine-Tuning & Prompt Engineering
Optimize models to speak your brand language.
Train LLMs on your proprietary data and custom prompt matrices to achieve peak accuracy. Reduce compute costs and latency while aligning the output tone with your corporate guidelines and regulatory requirements.
PyTorchLlamaMistral AIOllama
Analytics
LLM-Driven Data Analytics
Turn unstructured text data into actionable insights.
Extract sentiment, entities, and structured KPIs from thousands of support tickets, emails, and PDFs automatically. Empower your decision-makers with interactive dashboards and reports fueled by raw textual intelligence.
PowerBIScikit-learnPythonMistral
Multimodal
Speech, Vision & Multimodal AI
See, hear, and interact with your users.
Build voice agents and visual analysis tools that transcribe calls, synthesize realistic speech, and parse video feeds. Elevate user engagement by offering multi-sensory interactions and automated media moderation.
ElevenLabsWhisper STTOpenCVPyTorch
Infra
LLM Deployment & Cloud Infrastructure
Host secure private models at scale.
Deploy self-hosted, secure open-source LLMs on your cloud with full observability and auto-scaling. Minimize latency, keep complete data ownership, and eliminate expensive third-party model API dependencies.
KubernetesOllamaMistral AICloud Native
Development Process
How We Develop LLM Systems
A structured, security-first process — from selecting models and cleaning data to deploying a fine-tuned pipeline on your secure cloud infrastructure.
02
Phase 2 — Data Prep
Structure Context & Vectors
We design data ingestion pipelines, clean unstructured assets, and build high-performance vector databases (Pinecone) to form a reliable private knowledge base.
Data Prep
03
Phase 3 — Prompt Engineering
Refine Outputs & Context
Our engineers build prompting matrices, structural guards, and fine-tune model parameters using custom training data to ensure responses match your exact voice.
Optimization
04
Phase 4 — Integration
Connect Pipelines & Workflows
We wire LLM pipelines to your application database, connect external APIs via LangChain or LangGraph, and configure automated workflows (n8n/Make).
Integration
05
Phase 5 — Evaluation
Red-Teaming & Latency Checks
We run comprehensive evaluations to test accuracy, eliminate hallucination vectors, optimize token costs, and ensure absolute enterprise readiness.
Evaluation
06
Phase 6 — Production Rollout
Deploy & Scale Securely
The pipeline goes live on cloud infrastructure (Kubernetes) with robust monitoring and observability tools for real-time cost, token, and latency analytics.
Deployment
Our Core Strengths
Why Partner with Movya for LLM Services
Deep Technical Expertise
We do not just wire APIs—our engineers understand vector math, fine-tuning parameter updates, and multi-agent states to deliver enterprise-grade performance.
Data Privacy & Compliance
We prioritize security by building private RAG systems and self-hosted models that keep your sensitive client data entirely within your virtual private cloud.
ROI-Driven AI Strategy
We help you select the most cost-effective models and orchestration setups, ensuring your AI automation produces measurable cost savings from day one.
Ready to integrate intelligence into your business?
Let's discuss how customized Large Language Models and prompt architectures can optimize costs and automate critical operations for your platform.
- Custom LLM pipelines (OpenAI & LLaMA)
- Private RAG systems with Pinecone database
- Autonomous agent orchestration (LangGraph)
- Data extraction & custom speech solutions
Explore model integrations, prompt setups, or private self-hosted deployments.
Book a Free AI Discovery Call