Connect content libraries, production systems, OTT data, broadcast operations, audience signals, advertising data, and revenue information. Mimasa AI helps media companies understand content, automate complex workflows, and move from fragmented insight to governed action.
Build AI agents for media operations without surrendering control. Keep editorial, legal, commercial, and compliance teams involved through role-based access, approval checkpoints, and complete audit trails.
Cloud, private cloud, or on-premise deployment for broadcasters, OTT platforms, studios, publishers, agencies, and content owners.
Media businesses work across video, audio, images, scripts, contracts, content-management platforms, broadcast logs, OTT services, social channels, advertising networks, CRM systems, and finance applications.
The problem is rarely a shortage of data. Content and business information remain separated across systems and teams, turning asset search, performance review, version approval, rights reconciliation, and management reporting into manual hand-offs.
Mimasa AI brings these sources into a governed media intelligence platform for AI content analysis, natural-language questions, reusable datasets, agentic media workflows, and repeatable decisions with human oversight.
Transform unstructured media assets into usable intelligence. Process video, audio, images, subtitles, transcripts, scripts, briefs, contracts, reports, and spreadsheets through configurable AI pipelines. Extract scenes, topics, entities, speakers, objects, text, timestamps, summaries, classifications, and relevant metadata.
Build AI content operations around the way your organisation already works. Agents can collect information, validate fields, prepare summaries, coordinate reviews, create tasks, monitor exceptions, and trigger downstream steps for intake, enrichment, editorial routing, version approvals, localisation review, publishing checklists, and reporting.
Bring OTT data analytics, broadcast analytics, audience engagement, subscriber information, campaign performance, content costs, and revenue data into consistent views. Teams can ask questions in plain language and receive charts, explanations, reports, and reusable data snapshots.
Mimasa agents can monitor approved data sources, identify meaningful changes, evaluate configured rules, recommend actions, and initiate workflows. Budget, publishing, contractual, and compliance decisions can remain behind approval checkpoints.
Turn analysis into recurring operational reports and presentation-ready summaries, including content-performance reviews, campaign reports, audience briefs, rights exceptions, production updates, and executive presentations using governed data.
Start with a focused workflow and connect it to the data, teams, approvals, and outputs that already shape your media operations.
Use a governed content intelligence platform for AI content analysis across video, audio, images, transcripts, and related documents. Extract metadata, topics, scenes, entities, summaries, and searchable content records.
Explore Media Content IntelligenceMake video, audio, image, transcript, and document archives searchable with natural-language queries, extracted metadata, and semantic content understanding.
Explore Media Archive Search And DiscoveryScreen content against configurable policies, surface potential issues, route exceptions to authorised reviewers, and retain an auditable record of decisions.
Explore Content Moderation And ComplianceConnect viewership, subscriber, engagement, search, social, campaign, and revenue information to understand audience behaviour and support governed engagement workflows.
Explore Media Audience IntelligenceUnify content, campaign, audience, platform, and revenue information to compare performance, detect changes, and automate recurring analysis and reporting.
Explore Content And Campaign PerformanceExtract and compare contractual terms, usage records, rights windows, territories, platforms, revenue statements, and royalty rules. Route discrepancies to legal, commercial, or finance teams.
Explore Rights, Licensing, And Royalty ReconciliationCombine viewing behaviour, search, subscriber, content, campaign, and revenue data. Use OTT data analytics to investigate discovery, engagement, completion, retention, and content ROI while coordinating actions across teams.
Connect schedules, broadcast logs, ratings, digital engagement, advertising, and operational data. Apply broadcast workflow automation to recurring reports, content reviews, exceptions, approvals, and programming decisions.
Organise production information, assets, budgets, schedules, versions, and approvals. Give production and management teams a consistent view of progress while automating repetitive coordination and reporting.
Extract intelligence from text, images, video, audio, documents, and archives. Accelerate research, discovery, tagging, review workflows, and cross-channel analysis with human editorial control.
Unify campaign, audience, creative, social, and commercial data. Generate performance reports, investigate variance, monitor approved thresholds, and coordinate client-ready reporting across accounts.
Analyse live and archived media, audience behaviour, digital engagement, sponsorship performance, and operational data. Build workflows for discovery, highlight review, reporting, and multi-channel distribution.
Mimasa AI translates natural-language questions into governed queries and analysis. Answers depend on the customer’s connected and authorised sources, and can become dashboards, snapshots, reports, presentations, alerts, or an approved workflow step.
“Which programmes gained completion rate but lost social engagement this week?”
“Find archive clips that mention this person, organisation, or topic.”
“Compare OTT and broadcast performance for the latest season by region.”
“Which titles show rising acquisition cost and declining subscriber retention?”
“Show licensing agreements that expire in the next 90 days.”
“Which content versions are still waiting for legal or localisation approval?”
“Prepare the weekly content, campaign, and audience performance report.”
Connect approved databases, APIs, files, object stores, documents, media sources, spreadsheets, and enterprise applications.
Extract relevant content and operational data. Clean, map, transform, validate, and organise it for analysis and automation.
Use multimodal and language models to analyse assets, metadata, transcripts, documents, audience signals, and business records.
Ask questions, compare performance, identify anomalies, generate forecasts, and create interactive dashboards or reports.
Agents apply defined rules and context to recommend the next action. Human reviewers approve sensitive editorial, legal, financial, or publishing decisions.
Trigger notifications, tasks, escalations, data updates, reports, presentations, or actions in connected systems, preserving what happened and why.
Move from data extraction to analysis, decision support, workflow execution, and reporting without assembling a different isolated tool for every step.
Configure agents, transformations, rules, approvals, and outputs around existing media operations. Mimasa AI complements specialised production, content-management, advertising, and finance systems.
Keep creative judgment, editorial responsibility, legal review, commercial authority, and compliance decisions with the appropriate people.
Use suitable language, vision, or multimodal models based on workflow, performance, cost, and data-sensitivity requirements. Deploy in the cloud, a private environment, or on-premise.
Control access by role, restrict agent actions, capture approvals, and maintain activity records across data, analysis, and workflow execution.
Build agents that analyse, decide, recommend, and act within defined permissions.
Coordinate multi-step work across systems, people, agents, and approvals.
Connect media data and extract intelligence from documents and unstructured assets.
Control access, approvals, shared data, and auditability.
Explore OTT, broadcast, audience, campaign, and revenue performance.
Generate recurring operational and executive outputs.
You do not need to replace your media technology stack. Start with a workflow that depends on fragmented data, repetitive analysis, manual hand-offs, or delayed approvals. Mimasa AI can connect the relevant sources, build the intelligence layer, configure agents and approvals, and turn the result into a repeatable enterprise workflow.
