AI & LLM Integration
Add AI that actually works in production — RAG pipelines, intelligent chatbots, agentic workflows, and LLM integrations built with OpenAI, Claude, and open-source models.
Overview
AI is only useful when it is reliable. We help businesses move from proof-of-concept to AI features that are accurate, fast, and production-ready. That means building with the right model for the task — not always GPT-4 when a smaller, faster model does the job at a tenth of the cost.
We build RAG pipelines for document intelligence, agentic workflows for automation, and fine-tuned models for domain-specific tasks. We set up evaluation frameworks to measure accuracy and catch regressions — so your AI does not degrade silently after launch.
What's Included
- LLM integration (OpenAI, Claude, Gemini, Llama)
- RAG (Retrieval-Augmented Generation) pipelines
- Agentic workflows with tool-calling
- Semantic search with vector databases
- Custom fine-tuning and RLHF
- AI-powered chatbots and virtual assistants
- Document analysis and extraction
- Prompt engineering and evaluation frameworks
Technologies
Who This Is For
Common scenarios where this service delivers the most value.
Customer Support Automation
AI agents that resolve 60–80% of tier-1 support tickets automatically, with seamless human handoff.
Document Intelligence
Extract, classify, and summarise information from contracts, invoices, and reports at scale.
Internal Knowledge Bases
Let employees ask questions of your company's documents, wikis, and data — and get accurate, cited answers.
How We Do AI & LLM Integration
Use Case Analysis
We define the task, identify the right model and approach, and set measurable accuracy benchmarks.
Pipeline Architecture
Design the data pipeline — ingestion, embedding, retrieval, generation — with latency and cost in mind.
Build & Evaluate
Iterative development with an evaluation harness to measure accuracy, hallucination rate, and latency.
Deploy & Monitor
Production deployment with LLM observability, cost tracking, and continuous prompt improvement.
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Data pipelines, predictive models, and analytics dashboards that give your business something concrete to act on — not just charts.
Learn MoreDevOps & Cloud Infrastructure
Cloud infrastructure on AWS, GCP, or Azure — built as code with Terraform, deployed with zero-downtime pipelines, and observable from day one.
Learn MoreReady to Start a AI & LLM Integration Project?
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