Artificial intelligence is no longer a differentiator — it’s a baseline expectation. We help product teams integrate the right AI capabilities at the right points in their user journey, delivering genuine value rather than AI for its own sake.
AI Capabilities We Deliver
- LLM Integration — OpenAI, Anthropic Claude, and open-source models (Llama, Mistral) integrated via API or self-hosted for cost control and data privacy.
- Retrieval-Augmented Generation (RAG) — Knowledge base chatbots and document Q&A systems powered by vector databases (Pinecone, Weaviate, pgvector).
- Computer Vision — Image classification, object detection, OCR, and real-time video analysis using TensorFlow, PyTorch, and cloud vision APIs.
- Recommendation Engines — Personalisation systems for content, products, and features — built on collaborative filtering or neural approaches based on your data volume.
- Predictive Analytics — Churn prediction, demand forecasting, fraud detection, and other ML models that turn your data into actionable business intelligence.
- On-Device ML — TensorFlow Lite and Core ML models for mobile apps that need AI inference without internet dependency.
Our Approach
We start by understanding your data: its quality, volume, and structure. Then we identify the highest-value AI opportunities in your product — the ones that move the needle on retention, conversion, or efficiency — and build toward those first.