AI Agent Development
AI Agent Solutions
We build LLM-powered agents and RAG pipelines that automate knowledge-intensive work — from internal Q&A systems to fully autonomous decision-making workflows grounded in your data.
What We Build
Production-grade AI systems — not demos. Every agent we build is evaluated, monitored, and optimised for real-world use.
Custom LLM Agents
Autonomous agents with tool use, memory, and multi-step reasoning — built on GPT-4, Claude, or open-source models depending on your requirements.
RAG Pipelines
Retrieval-Augmented Generation systems that ground LLM responses in your internal knowledge base — accurate, source-cited, and hallucination-resistant.
Conversational AI
Intelligent chatbots and virtual assistants for customer support, internal Q&A, and sales enablement — trained on your data, deployed on your channels.
Autonomous Workflow Automation
Multi-agent systems that execute complex multi-step workflows autonomously — from document processing to data enrichment and decision routing.
Safety, Guardrails & Evaluation
Agent evaluation frameworks, output validation, PII redaction, and safety guardrails that keep AI behaviour predictable and compliant.
LLM Observability & Cost Optimization
Token usage tracking, latency monitoring, prompt caching, and model routing strategies that cut LLM costs by 40–60% in production.
What You Get
End-to-end AI agent delivery — architecture, data pipelines, agent code, evaluation, and production deployment with ongoing observability.
- AI agent architecture design and technical specification
- RAG pipeline with vector database setup and indexing
- Custom LLM agent development with tool integrations
- Knowledge base ingestion, chunking, and embedding pipelines
- Agent evaluation framework and quality benchmarks
- Safety guardrails, output validation, and PII filtering
- LLM cost optimization and caching strategy
- Production deployment, monitoring, and ongoing improvement
Tech Stack
How We Build AI Agents
Use Case Design
We identify the highest-value automation opportunities and design the agent architecture around your data and workflows.
Data Preparation
Knowledge base ingestion, cleaning, chunking, and vector embedding — the foundation of accurate AI responses.
Build & Evaluate
Agent development with continuous evaluation — we test against real queries before any production deployment.
Deploy & Monitor
Production rollout with observability, cost tracking, and regular model performance reviews.
Ready to build something that lasts?
From initial scoping to production deployment — we partner with you end-to-end. Let's start with a conversation.