AI Engineering for Agriculture
Computer vision on farm machinery and in the field that holds up across seasons, weather and sustained load on the hardware it runs on.
Computer vision on farm machinery and in the field that holds up across seasons, weather and sustained load on the hardware it runs on.
Feasibility-first AI for maintenance, safety analytics and operations in aviation, tested on your data before anyone commits to a programme.
Estimating, scheduling, structural inspection and property valuation models, tested on your projects and portfolio before they inform a decision.
Support automation and service assistants measured on your own tickets: resolution quality, hand-off to people and cost per conversation.
Tutoring, assessment and learning tools built on generative AI, evaluated on your own courses and honest about where the model is wrong.
Monitoring for grid and plant models, forecasting that survives new sites and old historians, and asset inspection, engineered on your data.
GPU engineering for quant compute, re-runnable evidence for model risk management, and reliable model serving for banks, asset managers and trading firms.
Edge AI on constrained devices, split inference across sensor networks, and device trust and update integrity, engineered on your hardware.
Choosing and evaluating language models for document review and legal research, keeping client material on-premises, and evidence for approval.
Generative content and personalisation for marketing teams, with model choice, cost per asset and content checks measured on your own campaigns.
Sensor fusion that degrades gracefully, perception models that fit onboard compute, and fleet incident evidence for robots and civilian drones.
Vessel and fleet analytics, navigation assistance and port optimisation, engineered and tested on your fleet's own data and hardware.
Match and training analytics from video and tracking data, engineered to keep up with the match and to hold up on new venues and cameras.
Booking and service assistants for travel and hotels, with model choice and cost per conversation measured on your own traffic.
Verifying AI weather models against numerical prediction, running forecast scoring every cycle, and the GPU compute behind both.