Media & Entertainment
Custom media softwaredevelopment and AI services.
Building a new content platform, or replacing tooling that slows production down?
Corpvance builds streaming and publishing platforms, creator and rights management tools, audience apps, and AI for metadata, recommendations, and content operations. We integrate with your CMS, digital asset management, ad, and analytics stack so content, rights, and audience data stay connected.
A small senior team. You work directly with the engineers building your product.
- 01
- CMS and DAM integrations
- 02
- Recommendation engines
- 03
- Metadata automation
- 04
- Rights and royalties
- 05
- Cloud migration
Market Context
Content libraries grow faster than the metadata describing them
Archives, rights records, and audience signals all exist, but they sit in systems that were built separately and rarely reconcile.
- High adoption
- Media and telecom report among the highest rates of AI and agent use
- Metadata leverage
- Enrichment and tagging unlock personalization faster than net-new recommendation models alone
- Workflow ROI
- Drafting, localization assist, and QC copilots cut cycle time before audience models scale
McKinsey State of AI 2025
Industry practice
Industry practice
These are engineering problems. Footage nobody can find, rights tracked in spreadsheets, and audience data split between the ad stack and the subscription platform. All of them are fixable in software.
Who we build media software for
Requirements change depending on who owns the workflow. These are the organizations Corpvance works with, and what they usually need built.
Broadcasters and streaming services
Operators delivering content at scale where discovery, playback, and rights all have to hold together.
Streaming platforms · Recommendations · Rights tracking
- Streaming platforms
- Recommendations
- Rights tracking
Publishers and editorial teams
Newsrooms and publishers where publishing speed and audience retention decide commercial performance.
CMS interfaces · Paywall systems · Audience analytics
- CMS interfaces
- Paywall systems
- Audience analytics
Production and post houses
Teams moving large asset libraries between tools, where finding the right footage costs more time than editing it.
Asset retrieval · Workflow tools · DAM integrations
- Asset retrieval
- Workflow tools
- DAM integrations
Creator and talent platforms
Marketplaces coordinating creators, campaigns, and payouts where trust and verification are the hard part.
Creator portals · Campaign tooling · Payout automation
- Creator portals
- Campaign tooling
- Payout automation
Advertising and audience teams
Groups working across ad servers, analytics, and subscription data that were never designed to be read together.
Campaign tools · Reporting · Data pipelines
- Campaign tools
- Reporting
- Data pipelines
Not sure which of these fits your organization? A short scoping call is usually enough to tell whether the work is a new build, an integration, or a modernization.
What Corpvance builds for media and entertainment
We can build a new content platform from the ground up, extend the systems you already run, or replace the manual work sitting between them.
Audience and production products built around how your content actually gets made and distributed.
- Streaming and content platforms
- Publishing and CMS interfaces
- Creator and contributor portals
- Rights and royalty tracking
- Audience mobile apps
- Subscription and paywall systems
- Campaign management tools
- Internal admin platforms
AI applied to metadata, discovery, and the content operations work that currently runs on people.
- Metadata tagging and enrichment
- Content recommendations
- Audience personalization
- Transcription and captioning workflows
- Archive and footage retrieval
- Content moderation support
- Editorial summarization
- AI features inside existing products
Connections between your content systems, monetization stack, and analytics platforms.
- CMS integrations
- DAM and asset systems
- Ad servers and monetization
- Analytics and audience platforms
- Distribution and syndication feeds
- Payment and subscription providers
- Data warehouses and ETL
- Reporting pipelines
Improving media software that works but is slow, manual, or straining under library growth.
- Interface and UX redesign
- Cloud migration
- Performance and traffic-spike scaling
- Mobile and connected device support
- Replacing spreadsheet rights tracking
- Access control retrofits
- Incremental platform replacement
- Modern application architecture
How a media project runs
The hard parts are integration and content scale, so we settle those before the build scales.
- 01
Scope
We map the workflow, the systems it touches, and who needs access to what. You get a written scope and an architecture direction.
- 02
Integration check
We confirm what your CMS, asset systems, and ad and analytics platforms actually expose before feature work starts.
- 03
Design
Interface and data model decisions, reviewed with the editorial, production, and audience teams who will use them daily.
- 04
Build
Short delivery cycles with a working environment you can log into and test at any point.
- 05
Launch and support
Security review, testing, and deployment, then continued development or a full handover to your team.
Where a project depends on existing metadata, we test the library early, because recommendation and search quality is set by the metadata long before it is set by the model.
Build something new, or modernize what you already run
Media engagements start in one of two places, and Corpvance delivers both. Many projects turn out to be a mix.
Build from scratch
For a new audience product, a new distribution channel, or a workflow with no system behind it today. We handle product design through to production.
- New streaming and content platforms
- Subscription and paywall systems
- Creator and contributor portals
- Audience mobile apps
- Greenfield architecture
- Launch and scaling support
Modernize and automate
For systems that work but rely on manual tagging, spreadsheets, and re-keying between tools. We improve them in stages so publishing continues uninterrupted.
- Interface and UX redesign
- Cloud migration
- CMS and DAM integrations
- Automating metadata and captioning
- Adding AI to existing products
- Performance and traffic-spike scaling
Most engagements combine both: a new audience-facing product on one side, and integration with the content systems behind it on the other.
ChainReach
ChainReach
The Business Problem
Creator campaigns depended on trust at every step: briefs agreed informally, deliverables verified by eye, and payouts released manually once someone was satisfied.
What We Built
Corpvance built campaign infrastructure where the lifecycle is state-driven end to end, with automated verification, reputation scoring, and escrowed payouts released against confirmed delivery.
What Shipped
- AI campaign creation engine
- Smart contract escrow and payouts
- State-driven campaign lifecycle
- AI-powered verification systems
- Reputation and trust scoring
- Creator marketplace platform
Outcome
Campaigns run at scale without manual payout arbitration, because delivery and payment are tied to the same verified state.
Frequently asked questions
Practical answers about scoping, compliance, integration, and how we measure success.
01Can Corpvance build a media platform from scratch?
Yes. That covers product design, software development, AI development, backend systems, integrations, cloud infrastructure, testing, and deployment. We also handle the parts teams tend to underestimate, including role-based access, playback performance and behaviour under traffic spikes, and the operational tooling needed to run the product once it is live.
02Can you modernize our existing media software?
Yes, and it rarely needs to happen all at once. We can rebuild specific workflows, redesign the interface, improve performance, migrate infrastructure, or replace the platform in stages. Incremental modernization is usually the right call, because publishing and distribution continue while a system is replaced.
03Can you integrate with our CMS, DAM, and ad stack?
Yes, working with what each system exposes. We build integrations through CMS APIs, DAM and asset systems, ad servers, analytics and audience platforms, syndication feeds, and subscription providers. The aim is for new interfaces and AI to work against your existing source of truth rather than a parallel copy of it.
04Can you add AI to an existing media product?
Yes. Common additions are metadata tagging, recommendations, personalization, transcription and captioning, archive retrieval, and editorial summarization. We build these against your existing systems rather than standing up a separate data stack alongside them.
05Can AI improve discovery across an existing archive?
Usually yes, and the limiting factor is metadata rather than the model. Automated tagging, transcription, and enrichment can make an archive searchable that previously depended on filenames and someone's memory. We assess a sample of the library during scoping so the expectation matches what the material can support.
06Can you build rights and royalty tracking?
Yes. Rights work is less about complex algorithms and more about modelling agreements correctly: territories, windows, exclusivity, and splits, with a record of how each figure was derived. We build it so a royalty statement can be traced back to the underlying agreement rather than recalculated by hand.
07Who owns the code and the intellectual property?
You do. Ownership of the source code and associated intellectual property transfers to you, along with repositories, infrastructure configuration, and documentation. We do not retain licensing rights over what we build for you, and we do not resell client work as a product.
08Can you work alongside our existing engineering team?
Yes. We can own a workstream end to end, extend an in-house team on specific parts of the build, or take responsibility for a subsystem such as the integration layer or the recommendation or metadata components. Where an internal team already owns the platform, we work inside your repositories, review process, and deployment pipeline.
09What happens after launch?
You choose. Some clients keep us on a support agreement covering maintenance, monitoring, security updates, and continued development. Others take the system in-house, in which case we run a structured handover with documentation, architecture walkthroughs, and a support window while your team gets comfortable.
10How do we start?
A short call to understand the workflow, the systems involved, and what is driving the project. From there we move into a discovery engagement that produces a written scope, an architecture direction, and a clear plan for the build.
Capabilities that make industry software production-ready.
Successful software implementation needs data pipelines, application interfaces, and cloud operations around the product.
Artificial Intelligence
Production AI systems with retrieval, agents, evaluation, and human review loops.
Explore Artificial Intelligence→Data & Analytics
Pipelines, warehouses, and validated datasets that make industry AI reliable.
Explore Data & Analytics→Software Engineering
Portals, APIs, and operational interfaces that put AI into daily workflows.
Explore Software Engineering→Explore other industries
Corpvance applies custom technology where workflows are repetitive, data is available, and outcomes can be measured.
