Generative AI · SOV AI

Generative AI
Development

We build enterprise-grade generative AI products — from LLM-powered applications and RAG systems to AI content generation, code assistants, and multimodal AI solutions.

Generative AI Development
30+GenAI Projects
4+Years Experience
95%Client Satisfaction
20+AI Engineers
What We Build

Generative AI products
for the enterprise

From intelligent document processing to AI-powered content creation, we build generative AI solutions that transform how businesses operate.

LLM Application Development

Custom applications built on GPT-4, Claude, Gemini, Llama, and Mistral with fine-tuning and RAG.

AI Document Processing

Intelligent document extraction, summarisation, classification, and Q&A over large document corpora.

AI Content Generation

Automated content creation for marketing, product descriptions, reports, and personalised communications.

AI Code Assistants

Custom coding copilots trained on your codebase for developer productivity and code review automation.

Multimodal AI Applications

Applications combining text, image, audio, and video understanding for rich AI experiences.

Enterprise GenAI Platforms

Secure, governed generative AI platforms with access controls, audit logs, and compliance features.

How It Works

Our GenAI
development process

A structured approach to building generative AI products that are accurate, safe, and enterprise-ready.

Use-Case Definition

We define the generative AI use case, success criteria, data requirements, and risk boundaries.

Step 01

Data & Knowledge Prep

Document processing, embedding generation, vector store setup, and knowledge base construction.

Step 02

LLM Integration & Prompt Engineering

Model selection, prompt design, RAG pipeline, tool calling, and agentic workflow development.

Step 03

Safety & Evaluation

Hallucination testing, bias evaluation, safety guardrails, and output quality benchmarking.

Step 04

Deployment & Scaling

Production deployment with caching, rate limiting, cost optimisation, and monitoring.

Step 05

Iteration & Improvement

Continuous improvement based on user feedback, usage analytics, and model updates.

Step 06
Why Choose Us

Why SOV for
generative AI

We have hands-on experience with the full generative AI stack — from prompt engineering to fine-tuning and production deployment.

Multi-Model Expertise

Experience with GPT-4, Claude, Gemini, Llama, Mistral, and open-source models for optimal selection.

Enterprise Security

Data privacy, access controls, audit logging, and on-premise deployment options for sensitive data.

Cost-Optimised Architecture

Smart caching, model routing, and prompt optimisation to minimise inference costs at scale.

Measurable Quality

Automated evaluation pipelines with RAGAS, LLM-as-judge, and human evaluation frameworks.

Flexible Deployment

Cloud, on-premise, or hybrid deployment with your choice of model provider or self-hosted LLMs.

Ready to build with GenAI?

Let's create your generative AI product

50+Projects
4.9★Rating
2021Founded
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RAG Development Services

Retrieval-augmented generation for accurate, grounded AI responses over your proprietary data.

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AI Agent Development

Autonomous agents that use generative AI to plan and execute complex multi-step tasks.

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AI Chatbot Development

LLM-powered chatbots for customer support, sales, and internal knowledge management.

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