AI & Automation
We integrate large language models, build RAG pipelines, train custom models, and automate complex workflows to make AI a genuine part of your product.
Production-Grade AI Integration
RAG Pipeline Development
We build Retrieval Augmented Generation pipelines that ground LLM responses in your actual business data. Our pipelines include document ingestion, chunking strategies, vector embedding, semantic search, and prompt engineering optimised for accuracy, relevancy, and faithfulness. Every pipeline ships with RAGAS evaluation metrics so you can measure quality objectively.
Custom Model Fine-Tuning
When off the shelf models don't deliver the domain accuracy your product requires, we fine tune open source models using LoRA and QLoRA adapters on your proprietary data. This approach delivers specialised performance without the cost and vendor lock in of commercial API dependencies, running locally or on your own cloud infrastructure.
Workflow Automation
We identify and automate repetitive business processes that consume human time without requiring human judgment. From document processing and data extraction to report generation and email classification, our automation systems reduce manual overhead by 60-80% while maintaining accuracy standards that exceed manual processing.
Computer Vision Systems
Real time object detection, image classification, and visual inspection systems built with YOLOv8, OpenCV, and custom trained models. We deploy vision pipelines that process live camera feeds, detect anomalies, and trigger automated responses with sub second latency.
Our Deliverables
Production ML Pipeline
End to end machine learning pipelines with data preprocessing, model training, evaluation, and deployment automation.
Quality Metrics Dashboard
Live monitoring of model performance, accuracy drift, confidence scores, and retrieval quality with automated alerting.
Integration APIs
Clean, documented APIs that expose AI capabilities to your existing systems with rate limiting, caching, and fallback logic.
Continuous Improvement
Feedback loops and retraining pipelines that improve model accuracy over time based on production usage data.
Technologies We Use
- LLMs: GPT-4, Claude, Phi-2, Llama, Mistral (local and cloud)
- ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LoRA
- Vector Stores: Pinecone, ChromaDB, Weaviate, pgvector
- Computer Vision: YOLOv8, OpenCV, MediaPipe
- Orchestration: LangChain, LlamaIndex, custom pipelines
Ready to Add AI to Your Product?
From RAG pipelines to custom model training, we build AI systems that deliver genuine business value.
Start a Conversation →