What We Build

AI Services Built for Production

Every service we offer is designed to go beyond prototypes. We ship AI that works reliably, scales gracefully, and delivers real business value.

Production-grade AI models in your product

LLM Integration

We integrate state-of-the-art language models directly into your applications — from simple prompt engineering to complex RAG systems with retrieval, re-ranking, and grounding.

  • RAG (Retrieval-Augmented Generation) systems
  • Fine-tuning and prompt optimisation
  • Multi-model routing and fallbacks
  • Context window management
  • Semantic search with vector databases
  • Streaming responses and real-time UX
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Autonomous systems that work while you sleep

AI Agents & Automation

We build multi-agent systems that execute complex workflows, use tools, browse the web, write code, and make decisions — replacing hours of manual work with intelligent automation.

  • Multi-agent orchestration (CrewAI, LangGraph)
  • Tool use and function calling
  • Autonomous research and analysis agents
  • Process automation with human-in-the-loop
  • Agent memory and state management
  • Custom agent frameworks for unique workflows
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Full-stack apps with AI built in from day one

Web & Mobile Development

Modern, performant web and mobile applications built with the best frameworks. We don't just add an AI chatbot — we architect the entire product around intelligent capabilities.

  • React, Next.js, TypeScript frontend
  • Node.js, Python, FastAPI backend
  • React Native / Expo mobile apps
  • Real-time features with WebSockets
  • AI-native UX patterns and interactions
  • Performance optimisation and SEO
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AI that scales reliably in production

MLOps & AI Infrastructure

The gap between a working prototype and a production AI system is enormous. We build the infrastructure to bridge it — model serving, monitoring, retraining pipelines, and cost management.

  • Model serving with low latency (vLLM, TGI)
  • Continuous retraining pipelines
  • AI observability and hallucination monitoring
  • A/B testing for model versions
  • Cost optimisation and inference efficiency
  • Kubernetes-based ML workloads
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AI-ready data infrastructure at scale

Data Engineering

Great AI starts with great data. We build the pipelines, vector stores, and embedding infrastructure that make your AI systems accurate, fast, and cost-effective.

  • ETL pipelines for AI training data
  • Vector database design (Pinecone, Weaviate, pgvector)
  • Embedding generation and management
  • Real-time data streaming (Kafka, Kinesis)
  • Data quality and validation
  • Knowledge graph construction
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Not sure which services you need?

Tell us your goal and we'll figure out the right AI approach together — free 30-minute call, no commitment.

Talk to Our Team