BRAHMA AI Core is an AI-native enterprise asset management platform that ingests, understands and securely stores audio-visual content using patented Machine Wisdom intelligence. It standardises metadata, secures assets and orchestrates workflows, turning every asset into structured, high-fidelity data. The result is faster search, smoother collaboration and automated delivery across creative, operational and distribution workflows.
Asset management and AI are one platform, not two products. Content is described as it lands, found in natural language, checked for compliance, adapted for other formats and markets, and delivered to any endpoint, with generated material flowing back into the same governed library.
Human Judgement, Machine Clarity
Machine Wisdom applies intelligence where it matters, while people retain oversight, intent and control. That principle, which BRAHMA AI calls Mind Squared, runs through the platform: humans set the intention, and the system carries out the execution at scale.
Ingest & Contextualize Agents
High-fidelity data at lower cost. Live and archived content is ingested securely and described the moment it lands. Powered by the patented Machine Wisdom Orchestration Brain, multi-modal metadata extraction identifies people, objects, scenes, key moments and dialogue, making assets instantly discoverable, automation-ready and cost-efficient to reuse.
Ingest Agent: Processes incoming files, extracts details, applies metadata and categorises assets, so content is organised, searchable and ready for downstream workflows.
Metadata Agents: Human-like understanding of visual, audio and contextual information for instant retrieval.
-Compliance: Compliance-sensitive content flagged automatically, with support for regional frameworks and rating boards including BBFC, FCC and MPA.
Machine Wisdom Agents
Intelligent content discovery through natural language, moving beyond keyword search into natural-language conversations with the library.
Semantic and conversational search: Done across legacy systems, enterprise databases and multiple MAM environments, with the most relevant assets surfaced in real time.
Multi-modal discovery: Search video, images, audio, speech and text at the same time, from a single query.
Knowledge and database integration: Find content across enterprise knowledge bases, removing silos.
Asset Management & Collaboration
A single, governed home for every asset. Content arrives through watch folders, accelerated transfer or mobile capture and is proxied, transcoded and validated automatically. Review and approval runs on frame-accurate comments and side-by-side comparison, with sharing inside and outside the organisation, from any browser or the native iOS, Android and Apple TV apps.
Workflow & Process Automation
Work orders fan tasks out across teams with assignments and notifications. Predefined master workflows ship with the platform, with a process monitoring dashboard and exception handling for anything that needs a person.
Editorial & Creation
Browser-based clip editing covers cut, trim, playlist and export without moving media, and an Adobe Premiere Pro panel brings library search into the edit. A creation workspace combines specialised agents with a post-production suite for ideation and generative content.
Adaptation, Distribution & Delivery
Reframe: Converts horizontal video into square & vertical formats, with speaker detection & genre-aware context retention.
Localize: Transcription, translation, subtitle auto-conform & audio description in one workflow.
Delivery: Packaging, metadata transformation and transcode profiles per endpoint, with visual and forensic watermarking. Live playback & Live-2-VOD carry live events into the library.
Sport
Live cricket metadata and highlights: Ball-by-ball tagging as play happens, with editor tools to review, adjust and approve tags against the live feed & assemble highlight packages.
Sport archival: Historical footage catalogued into searchable scenes & clips with generated summaries, player & face recognition, conversational search & category-based highlight compilations across multiple sports like NBA & Soccer.
Sponsor logo detection with screen-time measurement.
BRAHMA AI Differentiators
Built for intelligent content operations at enterprise scale.
Cloud-native, agent-driven architecture.
Built-in LLM capabilities, not bolt-ons.
Designed for hybrid & multi-cloud environments.
Optimised for digital transformation & cost efficiency.
Use Cases
AI-native Workflow Automation
Deep Content Discovery & Creation
Personalisation & Content Recommendations
Content Interaction & Monetisation
Deployment & Security
Each customer runs a dedicated single-tenant deployment with tenant-level segregation and folder-level content isolation, in US and EU data centres. AES-256 encryption at rest, TLS 1.3 in transit, MFA and SSO, role-based access, audit logging, and GDPR and CCPA support. REST APIs span asset management and administration.
Trusted by the world's leading studios, networks and leagues, including Disney, Warner Bros. Discovery, NBCUniversal, Paramount, Netflix, Channel 4, ITV, A&E Networks, Fremantle, Crunchyroll, Amazon MGM Studios, JioHotstar, OSN, the NBA and BCCI.
Highlights
100+ million assets managed and 100 PB of archive powered, with 10 million VOD assets fulfilled every year.
60+ home-grown AI engines and 18 patents in technology, supply chain and AI.
10x faster search and discovery using conversational retrieval.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
10 users, 1TB storage, 250 GB data out, 100 share, 25 hours upload, 25 hours of AI processing (AI Metadata-Scene detection & metadata identification for each scene [metadata includes faces, objects, labels, key moments, key dialogues, compilations & synopsis], Transcription One Language Pair)
This listing offers a single Basic Plan sold as a contract. You buy a fixed bundle of resources rather than pay per use. The plan bundles capacity across several units in one package: 10 users, 1TB storage, 250 GB data out, 100 shares, 25 hours of upload, and 25 hours of AI processing. AI processing covers scene detection, metadata identification (faces, objects, labels, key moments, key dialogues, compilations, and synopsis), and transcription for one language pair. All limits are included together, so you commit to the full bundle upfront.
Top-of-mind questions for buyers
What counts as one hour of AI processing versus one hour of upload in this bundle?
Upload hours measure how much content you ingest into the platform. AI processing hours measure how much content the system analyzes for metadata. Processing extracts scene detection, faces, objects, labels, key moments, dialogues, compilations, synopsis, and transcription for one language pair. These are separate counters, each capped at 25 hours.
What drives the limits I hit first — users, storage, upload, or AI processing?
Each metric is tracked and capped on its own. You can reach any one limit independently. Storage caps total stored content at 1TB. Data out caps outbound transfer at 250 GB. Upload and AI processing each cap at 25 hours. Your workload pattern decides which limit you meet first.
What does the single language pair in the transcription limit mean for multilingual content?
Transcription is included for one language pair only. This covers converting speech in one source language into text output. Content needing other language pairs falls outside this bundle. For voice dubbing or lip-sync across multiple languages, contact the vendor, since that capability is not part of this plan.
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