MEDIA & ENTERTAINMENT SOFTWARE DEVELOPMENTKeep content rights and publishing operations connected.

We build asset management, editorial and distribution software that keeps metadata, rights windows and approvals attached to every asset, from upload to publication across web, apps and partners.

Publishers, streaming founders, production teams and digital media companies

See How We Scope Projects
CampusFlow software development case study — THE TISAEZSKU software development case study — THE TISAGroup Hotel Index software development case study — THE TISALockYantra software development case study — THE TISANarsik Logistics software development case study — THE TISAOpsPilot software development case study — THE TISARatiwal software development case study — THE TISASpeakify software development case study — THE TISA
CampusFlow software development case study — THE TISAEZSKU software development case study — THE TISAGroup Hotel Index software development case study — THE TISALockYantra software development case study — THE TISANarsik Logistics software development case study — THE TISAOpsPilot software development case study — THE TISARatiwal software development case study — THE TISASpeakify software development case study — THE TISA
Video editor reviewing footage and metadata in an edit suite — THE TISA

THE OPERATIONAL GAP

Rights, metadata and approvals must travel with the asset.

Content teams lose time and take legal risk when asset information lives apart from the asset. These are the gaps we look for first.

Assets move between teams without version history

01

Files are copied between drives, editors and agencies, so nobody is sure which cut or image is final.

Rights and usage windows tracked outside publishing tools

02

License terms, territories and expiry dates sit in contracts and spreadsheets, so content can be published after rights lapse.

Poor metadata limits discovery and reuse

03

Inconsistent tags and missing descriptions make archives hard to search, so teams re-shoot or re-license content they already own.

Editorial approvals not reflected in publishing status

04

Approvals happen in chat or email, and the CMS can't tell whether legal or editorial sign-off is complete.

Assets move between teams without version history

01

Files are copied between drives, editors and agencies, so nobody is sure which cut or image is final.

Rights and usage windows tracked outside publishing tools

02

License terms, territories and expiry dates sit in contracts and spreadsheets, so content can be published after rights lapse.

Poor metadata limits discovery and reuse

03

Inconsistent tags and missing descriptions make archives hard to search, so teams re-shoot or re-license content they already own.

Editorial approvals not reflected in publishing status

04

Approvals happen in chat or email, and the CMS can't tell whether legal or editorial sign-off is complete.

WHAT WE BUILD

Media software we design and build.

We integrate with your CMS, storage and video infrastructure and build the workflow and rights layer around them.

01

Media asset management portals

Central storage, versioning, search and sharing for video, images and audio, with proxies and previews.

02

Editorial and publishing workflow platforms

Assignment, review and approval stages connected to your CMS, with status everyone can see.

03

Streaming and membership products

Subscription and membership experiences built on established video delivery and payment providers.

04

Content metadata and rights tracking

Rights windows, territories, talent and licensing restrictions linked to each asset and enforced at publication.

01

Media asset management portals

Central storage, versioning, search and sharing for video, images and audio, with proxies and previews.

02

Editorial and publishing workflow platforms

Assignment, review and approval stages connected to your CMS, with status everyone can see.

03

Streaming and membership products

Subscription and membership experiences built on established video delivery and payment providers.

04

Content metadata and rights tracking

Rights windows, territories, talent and licensing restrictions linked to each asset and enforced at publication.

WORKFLOW EXAMPLE

From upload to rights-checked publication.

An example content flow. Approval stages and rights rules are agreed with your editorial and legal teams.

  1. Media asset uploaded

    InputEditor, producer or agency upload

    OutputStored original with checksum, uploader and source recorded

    01
  2. Metadata and rights captured

    InputUploaded asset and contract terms

    OutputDescriptive metadata, AI-suggested tags and rights windows attached

    02
  3. Edit and review tasks routed

    InputAsset with metadata

    OutputAssigned edit, review and legal tasks with deadlines

    03
  4. Publication approved for channel

    InputFinal version, approvals and rights check

    OutputApproved publication for allowed channels and territories

    Review required

    04
  5. Version and distribution tracked

    InputPublished asset

    OutputDistribution log, version history and takedown dates scheduled

    05

SYSTEM DESIGN

The architecture behind the workflow.

A reference design that uses proven storage and delivery infrastructure and adds rights-aware workflow on top.

  1. Object storage and transcoding
  2. Metadata and rights registry
  3. Editorial workflow and review UI
  4. CMS and distribution connectors
  5. Analytics and delivery layer
  6. Publication approved for channel
  7. Object storage and transcoding to Metadata and rights registry
  8. Metadata and rights registry to Editorial workflow and review UI
  9. Editorial workflow and review UI to CMS and distribution connectors
  10. CMS and distribution connectors to Analytics and delivery layer
  11. Editorial workflow and review UI to Publication approved for channel
  12. Publication approved for channel to CMS and distribution connectors

Object storage and transcoding -> Metadata and rights registry -> Editorial workflow and review UI -> CMS and distribution connectors -> Analytics and delivery layer

  • 01

    Object storage and transcoding

    Stores originals, generates renditions and proxies and records checksums for every file.

  • 02

    Metadata and rights registry

    Holds descriptive metadata, rights windows, territories and restrictions per asset.

  • 03

    Editorial workflow and review UI

    Manages assignments, frame-accurate review comments and approvals.

  • 04

    CMS and distribution connectors

    Publish to websites, apps, social platforms and partners only when rights and approvals allow.

  • 05

    Analytics and delivery layer

    Delivers content through a CDN and reports usage back against each asset.

Technology

Chosen for the systems above.

These tools are already in published projects with a similar shape of work. The set for your release is confirmed once the interfaces and review points are known.

  • Cloud object storage
  • Managed video encoding and CDN
  • DRM (Widevine, FairPlay) where required
  • Headless CMS APIs
  • Speech-to-text and vision models
  • Mobile Application

    React Native
    React Native
  • Backend

    Node.js
    NestJS
    Node.js
    NestJS
  • Backend Framework

    Express.js
    Express.js
  • Database

    MySQL
    MySQL
  • Database and Caching

    PostgreSQL
    Redis
    PostgreSQL
    Redis
  • Search and AI

    Elasticsearch
    Elasticsearch
  • Deployment and DevOps

    Docker
    Nginx
    Docker
    Nginx
  • Monitoring

    Grafana
    Grafana

DESIGN TRADE-OFFS

Decisions that change cost, reliability and scope.

Rights exposure and delivery costs make these choices commercially significant.

AI metadata tagging versus human cataloging

AI tagging and transcription speed up cataloging of large archives, but mislabels hurt search and can create rights or reputational errors. Editors should confirm key fields.

Measure tag accuracy on a sample of your archive.

Established video platforms versus custom delivery

Managed video and CDN services handle encoding, adaptive streaming and DRM reliably; custom delivery rarely pays off.

Compare per-minute and egress costs at your expected volume.

Generative assets versus licensed inputs

Generative tools can speed up production, but ownership and copyright protection of AI-generated output is limited and training-data questions remain.

Review usage rights and disclosure policy with counsel.

AI metadata tagging versus human cataloging

AI tagging and transcription speed up cataloging of large archives, but mislabels hurt search and can create rights or reputational errors. Editors should confirm key fields.

Measure tag accuracy on a sample of your archive.

Established video platforms versus custom delivery

Managed video and CDN services handle encoding, adaptive streaming and DRM reliably; custom delivery rarely pays off.

Compare per-minute and egress costs at your expected volume.

Generative assets versus licensed inputs

Generative tools can speed up production, but ownership and copyright protection of AI-generated output is limited and training-data questions remain.

Review usage rights and disclosure policy with counsel.

SECURITY & COMPLIANCE

Controls appropriate to content and rights.

We protect unreleased content and enforce license terms in the software rather than relying on memory.

The U.S. Copyright Office has stated that purely AI-generated material is not protected by copyright; protection depends on human authorship. Rights rules come from your contracts and should be configured with your legal team.

  • Rights window and embargo enforcement

    Assets can't be published outside their licensed window, territory or channel, and embargoed content stays hidden until release.

  • Signed playback and asset URLs

    Preview and playback links expire and are scoped to the user or device; DRM is applied where content licenses require it.

  • Provenance and contributor consent

    Every asset records its source, contributor releases and any AI involvement in its creation.

  • Publication audit and moderation escalation

    Publishing, unpublishing and edits are logged, and flagged user-generated content is escalated to moderators.

NIST Cybersecurity Framework 2.0NIST AI Risk Management Framework
NIST Cybersecurity Framework 2.0NIST AI Risk Management Framework

DELIVERY APPROACH

From real content constraints to a verifiable release.

We start with one content type and channel, then extend to the archive and other channels.

  1. 01

    Catalog media formats and rights sources

    Inventory asset types, storage, contracts and rights data.

    Signed inventory of formats, storage locations and rights sources.

  2. 02

    Define metadata and approval model

    Agree required fields, taxonomy and approval stages.

    Approved metadata schema, taxonomy and approval workflow.

  3. 03

    Build ingest-to-publication flow

    Deliver one content type from upload to published.

    Working flow publishing to one channel with rights checks enforced.

  4. 04

    Test embargo, rights and playback access

    Attempt early publication, expired-rights use and unauthorized playback.

    Test results for embargo, expiry, territory and access scenarios.

  5. 05

    Deploy with rights exception monitoring

    Go live with alerts for expiring rights and failed publications.

    Rights expiry alerts, monitoring and support owners signed off.

PROJECT PLANNING

What we need to define before development begins.

A sample of your content and a few representative contracts are enough to start.

  1. 01

    Which CMS, storage and video platforms do you use today?

  2. 02

    Where are rights and license terms recorded, and who maintains them?

  3. 03

    Which approvals are required before publication?

  4. 04

    How large is the archive, and how much needs re-cataloging?

  5. 05

    Which outcome matters most: faster publishing, fewer rights incidents or archive reuse?

CMS and storage access

Representative contracts and rights data

Video platform accounts

Editorial and legal approvers

CMS and storage access

Representative contracts and rights data

Video platform accounts

Editorial and legal approvers

Media software development FAQs.

Yes. Speech-to-text, object and scene detection and AI-generated descriptions make archives searchable quickly. We measure accuracy on your content and have editors confirm key fields before they drive rights or publishing decisions.

Rights windows, territories and channels are stored with each asset and checked at publication and delivery, so expired or out-of-territory content is blocked automatically and teams are alerted before rights lapse.

Yes, using established video hosting, CDN and payment providers for delivery and billing, with custom work focused on your experience, entitlements and content operations.

Each team or brand gets its own workspace, roles and approval rules while sharing assets and metadata where permitted, so content can be reused without losing control.

Technically yes, but ownership and copyright protection are limited for purely AI-generated material, and some licenses restrict it. We record AI involvement in provenance metadata so your policy can be applied.

You own the application and the catalog it manages. Storage and distribution vendors remain under your contracts. We record which team is allowed to publish, takedown, or license an asset.

Yes. Each brand can have its own catalog, users, and publish rules while sharing the same underlying product, with access limited to that brand.

One library or one publish path: ingest, rights check, and the person who approves something going live. A full streaming rewrite is not the starting scope.

Draft and licensed files are not public URLs. A viewer needs a role that is allowed to see that asset, and a publish action is recorded.

Have a content, rights or publishing workflow to build?

Tell us how content moves through your team today. We'll scope a first workflow with rights checks built in.

Tell us how the work runs today, which systems already hold the data, and what a useful first release would change. We use that to judge scope before anyone writes a proposal.

The form goes to a solutions architect at THE TISA. You get a direct reply on fit, approach, and what we would need from your team.

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