VECTOR Labs

We're an applied AI engineering team that builds and ships production machine learning and deep learning systems, not slide decks. From AI strategy through to deployment and infrastructure optimization, we deliver end-to-end.

Our work spans large language models (LLMs), generative AI, natural language processing, computer vision and image recognition, predictive analytics, recommendation engines, sales forecasting and supply chain optimization. We build AI agents, conversational AI, chatbots, virtual assistants and AI customer service tools, alongside specialised models for fraud detection, predictive maintenance, voice and speech recognition.

We're strongest in regulated, high-stakes environments. We built and certified the AI behind a Class IIa cardiac diagnostic, arrhythmia detection on consumer-grade ECG signal, from scratch, with full regulatory documentation, delivered on the client's launch timeline. We've also developed generative AI for drug discovery, computer vision for manufacturing quality, and forecasting and recommendation systems that lifted revenue for a global media business.

Built on TensorFlow, PyTorch, Keras and Amazon SageMaker, our delivery includes full MLOps. What clients can expect: senior data scientists who turn a business or clinical problem into the right model fast, startup speed with medical-grade rigour, and work backed by peer-reviewed publications in ECG signal analysis, clinical decision support and federated learning.

Engagements range from focused proof-of-concepts to full model development and regulatory submission support.