Bring AI-powered sports media capabilities into the architectures you design for broadcasters, rights holders, sports organisations and professional teams. InBrief gives system integrators a modular, API-first way to add video understanding, clipping, editing, highlights, search, reframing and content automation to existing media environments.
Add AI to the Media Architecture You Already Build
Sports media environments rarely depend on a single platform. Ingest systems, MAMs, archives, editing tools, orchestration layers, publishing platforms and distribution technologies work together to create production workflows adapted to the needs of each organisation.
InBrief is designed to participate in these environments rather than replace them. Its AI-powered media technology makes specialised media capabilities available as modular components that system integrators can connect to wider production architectures. This allows AI to become part of the solution being designed instead of another isolated application that users need to manage separately.
AI for Sports Media System Integrators
System integrators need AI technologies that can solve specific production problems while remaining compatible with the systems, workflows and infrastructure already selected for the customer.
InBrief focuses on the transformation of sports media. Its capabilities can understand live and archived video, identify relevant moments and support the workflows required to turn those moments into usable content. Through an API-first and modular approach, these capabilities can be integrated according to the architecture and operational requirements of each project.
This gives integrators a way to introduce AI into sports media environments without forcing every customer into the same end-to-end platform design.
Integrate Through the Sports Video API
The Sports Video API provides the main integration layer for bringing InBrief capabilities into external applications and production systems. Video understanding, clipping, editing, search, reframing and content creation can participate in API-driven workflows alongside the other components of the media architecture.
A system integrator can therefore decide where InBrief enters the production chain, which functions are exposed to users or other services and where the resulting media needs to continue. The surrounding interface and orchestration can remain part of the customer’s existing environment while InBrief provides specialised AI-powered media processing underneath it.
Compose Capabilities Around the Customer Workflow
Different customers need different forms of automation. One broadcaster may begin with clipping from live feeds, another may prioritise archive search, while a league may want automated highlights and social content across multiple competitions.
InBrief allows these capabilities to be composed rather than requiring the same workflow for every deployment. Sports content automation can connect several stages into a larger production process, while individual capabilities can also be introduced independently when a narrower integration is appropriate.
This gives system integrators greater flexibility to design solutions around customer requirements rather than adapting the customer to a fixed product workflow.
Add Live Sports Clipping
Live-production environments can use live sports clipping to make relevant moments available while an event is taking place. InBrief can identify useful sequences inside incoming sports media and prepare them for subsequent editing, publishing or content production.
For system integrators, clipping can therefore become one component inside a larger live workflow. A detected moment may be sent to an existing publishing system, displayed inside a customer interface, passed to another automated capability or routed toward professional editorial review.
The AI capability becomes part of the production architecture rather than the final destination of the content.
Integrate AI Sports Highlights
AI sports highlights allow relevant moments to become clips, compilations, summaries and other editorial outputs through connected AI-powered workflows.
System integrators can incorporate highlight capabilities into broader solutions for broadcasters, sports organisations and rights holders. The surrounding platform can control which media enters the workflow, how production is triggered, which outputs are requested and where the resulting assets are subsequently stored or distributed.
This makes automated highlight production available as an architectural capability that can be combined with existing customer systems.
Add AI Sports Video Editing
Media identified by an automated process still needs appropriate edit points, context and sequencing before it becomes a useful editorial asset. AI sports video editing connects media understanding with the operations needed to prepare precise clips and content.
An integrated workflow can therefore move from a detected moment directly into automated editing before handing the result to another system or professional editing environment. System integrators can determine how much automation belongs inside the workflow and where human editorial intervention should remain available.
This creates a flexible production path rather than forcing every asset through either a completely manual or completely automated process.
Add Intelligent Sports Video Search
Large sports archives often depend heavily on metadata entered when assets were originally stored. AI sports video search can add another discovery layer by helping users find relevant moments based on the content and meaning of the media itself.
For integrators working with MAMs, archives or content platforms, this creates the possibility of adding natural-language discovery to an existing user experience. Relevant moments can then continue directly into editing or content creation rather than requiring another disconnected retrieval workflow.
Search becomes a capability inside the media environment the customer already uses.
Integrate AI Video Reframing
Content produced from professional sports feeds often needs to reach landscape, portrait and square destinations. AI video reframing can adapt the visual composition of sports footage while following the focus of the action.
System integrators can include this capability after clipping, editing or highlight production so that automatically prepared media can continue toward formats such as 9:16, 1:1 and 4:5. Format adaptation becomes another programmable stage in the workflow rather than a separate manual operation performed outside the production architecture.
Connect Sports Social Video Automation
Digital and social workflows often require more than a video file. Content may need reframing, branding, accompanying copy and preparation for downstream publishing systems.
Sports social video automation connects these stages with the wider InBrief production environment. System integrators can incorporate these capabilities into customer solutions while preserving the external platforms, approval processes and distribution systems already used by the organisation.
This allows social production to remain part of the professional media architecture rather than becoming another isolated content silo.
Integrate AI without Replacing the MAM
For many customers, the MAM or archive remains the central system through which media is stored, catalogued and made available to production teams. Introducing AI should increase the value of that environment rather than require another repository to become the new centre of the workflow.
InBrief can participate in architectures where customer-controlled systems remain authoritative for media and metadata. AI capabilities can process, understand and transform content while the surrounding media-management environment continues to perform its existing role.
For system integrators, this means AI can be introduced as an additional production layer while preserving the customer’s established architecture.
Connect Automation with Professional Editing
Professional media organisations need automation and editorial production to work together. Some assets can travel through highly automated workflows, while others need to move into professional editing for additional refinement.
InBrief is designed around professional media workflows, allowing automatically prepared content to continue into established editorial processes. System integrators can therefore design architectures in which AI handles repetitive operations while editors remain connected to the media whenever human judgement or creative work becomes necessary.
Automation when you want it. Editing when you need it.
Build Different Solutions from the Same AI Layer
A single system integrator may serve customers with very different operational models. Broadcasters, leagues, teams and rights holders may share underlying media problems while requiring different interfaces, workflows, automation levels and infrastructure.
InBrief provides a common set of AI-powered media capabilities that can be recombined around those differences. The same underlying technologies can support a clipping-oriented broadcaster workflow, an archive activation project for a rights holder or a content automation environment for a sports organisation.
This makes InBrief useful as a reusable AI media layer across several projects rather than as a solution limited to one predefined customer scenario.
Support Broadcaster Architectures
Broadcasters typically require integration across live feeds, editing systems, MAM environments, archives and digital production tools. InBrief’s solution for broadcasters uses the same modular media capabilities available to system integrators.
An integration partner can therefore incorporate AI into selected stages of the broadcaster’s environment while preserving established systems and operational practices. Live clipping may be the first use case, with search, highlights or social production added later as the architecture evolves.
Support Sports Organisations
Leagues, federations and governing bodies often need to scale media production across many events, competitions and athletes. The solution for sports organisations combines AI-powered capabilities around this need for greater coverage.
System integrators can use the same capabilities to design architectures that process multiple feeds, activate archives or create additional digital content while connecting automation with the organisation’s existing media and publishing infrastructure.
Support Pro Teams and Rights Holders
Professional teams and rights holders need to create more value from the media they control, whether through player content, highlights, social video, direct-to-fan experiences or archive reuse.
The solution for Pro Teams & Rights Holders brings these workflows together around the same AI media layer. System integrators can adapt the technology to the customer’s existing applications, storage, distribution systems and operational rules rather than imposing a separate production architecture.
Flexible Deployment for Customer Requirements
Media organisations operate under different infrastructure, security and operational constraints. Some workflows are designed around cloud environments, while others require critical components to remain closer to customer-controlled infrastructure.
InBrief supports flexible deployment models, including cloud and on-premise approaches. This gives system integrators greater freedom to align AI-powered media processing with the technical boundaries of the overall solution.
Deployment can therefore become part of the architecture decision rather than a constraint imposed by the AI technology.
Keep Customer Media Under Customer Control
System integrators often need to design around established policies for media ownership, storage, access and distribution. AI should participate in these workflows without creating unnecessary uncertainty about where content lives or how it can be used.
InBrief is designed so that organisations retain control over their media and the production environments around it. Its modular architecture allows AI capabilities to process and transform content while customer-controlled systems continue to determine storage, downstream use and distribution.
This helps keep the AI layer aligned with the broader governance and infrastructure decisions already made for the project.
Introduce AI Progressively
A customer does not need to automate its entire media operation at once. A project may begin with one clearly defined requirement, such as automated highlights, live clipping or archive search, and expand as the organisation validates the workflow and identifies additional opportunities.
InBrief’s modular structure supports this incremental approach. Additional capabilities can be connected to the same broader media environment over time, allowing the architecture to evolve from targeted AI functionality toward a more complete automation layer.
For system integrators, this creates a practical path for designing phased projects without requiring the final architecture to be deployed from day one.
From Integration Project to AI Media Platform
The long-term value of AI integration comes from creating reusable capabilities inside the customer’s architecture. Once media understanding, clipping, editing, search and adaptation become available through a common AI layer, new workflows can be built on top of the same foundation.
InBrief gives system integrators a way to make those capabilities part of the solutions they design. Instead of adding another closed product to the media stack, integrators can use a modular AI layer that participates in the customer’s own production environment.
Build AI into the media architecture, not around it.
Frequently Asked Questions
Is InBrief designed for sports media system integrators?
Yes. InBrief is API-first and modular, allowing system integrators to bring AI-powered sports media capabilities into broader production, archive, editing and distribution environments.
What capabilities can be integrated?
InBrief can provide capabilities for AI sports highlights, live sports clipping, AI sports video editing, AI sports video search, AI video reframing and broader content automation workflows.
Does InBrief provide an API?
Yes. The Sports Video API provides programmatic access to InBrief’s AI-powered sports media capabilities for integration into wider applications and workflows.
Can InBrief integrate with an existing MAM or media platform?
InBrief is designed to participate in broader media architectures. Its API-first approach allows AI-powered capabilities to be connected with existing media-management, archive, production and publishing environments.
Can InBrief be used inside a custom application?
Yes. System integrators can incorporate InBrief capabilities into applications and interfaces designed around the customer’s own workflow while using InBrief as the underlying AI-powered media layer.
Can different InBrief capabilities be combined?
Yes. Individual capabilities can operate as parts of broader sports content automation workflows, allowing clipping, editing, highlights, search, reframing and other production stages to be connected according to project requirements.
Can InBrief support both automated and editorial workflows?
Yes. InBrief is designed to combine automation with professional editorial production. Automated content can continue into established editing workflows whenever review or additional creative work is required.
Can InBrief be deployed on-premise?
InBrief supports flexible deployment approaches, including cloud and on-premise environments, allowing system integrators to align deployment with customer infrastructure requirements.
Who can system integrators build InBrief solutions for?
InBrief provides AI sports media solutions for sports organisations, broadcasters, Pro Teams & Rights Holders and the technology partners that design and integrate their media environments.