AI Infrastructure & MLOps for Media & Entertainment

Cost per inference is the operating metric. We instrument it from day one so capacity decisions are made on evidence.

In media & entertainment, rights, attribution and factual accuracy are reputational risks before they are legal ones. That single fact reshapes how ai infrastructure & mlops has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is subtitling and localisation, usually integrated against MAM and DAM. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.