From content migration to AI-powered content operations, see how media, sports and enterprise teams use BRAHMA AI Core and Studio. Our case studies show case BRAHMA AI's unique approach to client challenges.
A MAM system stores, organizes and finds video and other media, and moves it through production and delivery. Brahma AI Core indexes content, makes it searchable with AI, and automates workflows such as quality checks, content identification and delivery, for broadcasters, sports bodies and media enterprises.
Yes. Brahma AI migrated BCCI's roughly 1 PB archive (16,000+ matches and 350,000 images) from tape to Microsoft Azure in under four months. For Channel 4, it migrated 7.5 PB, covering 700,000+ video assets and 450,000+ audio and subtitle files, with no disruption to operations.
For Channel 4, Brahma AI orchestrates work across vendors for post-production, access services and playout. It cascades business priorities as work orders, tracks status, SLAs and late deliveries, and gives Channel 4 title-level visibility. Content moves between vendors automatically and securely.
At ITV, AI marked 12 types of program segment, such as bars, slates, recaps and credits, at 95–100% accuracy, and operators review the output in a cloud editor. Checking took about 3 minutes instead of 15–20 minutes by hand. Humans stay in the loop to keep improving accuracy.
Yes. It has been deployed on Microsoft Azure (BCCI) and AWS (ITV, Channel 4's archive). It connects through APIs, so ITV's jobs are triggered directly from its own systems. Channel 4's broadcast scheduling and rights systems feed its supply chain. We'd assess your setup first.
It depends on scale and scope. BCCI's migration took under four months, and ITV began with a 12-week proof of concept. We usually start by reviewing your content, systems and goals, then propose an approach and timeline. schedule a call to begin.