01
Streaming infrastructure
Live and on-demand video infrastructure with peak-load resilience, multi-CDN, DRM integration, and the operational discipline live events actually require.
Industry
Media & Entertainment.
Streaming infrastructure, content distribution, rights management, recommendation engines, and audience analytics, engineered for scale, rights complexity, and the operational rhythms media actually runs on.
- DMCA / DRM
- Engineered
- GDPR · CCPA
- Compliant
- PCI-DSS
- Aligned
- SOC 2 Type II
- In flight
The landscape
Media engineering fails at the gap between rights complexity and customer experience.
The pattern across media and entertainment: a streaming platform that handles the happy path beautifully and breaks under rights edge cases; a recommendation engine that fights with editorial curation; a content-workflow tool that exports to FCP via email attachment; an audience analytics pipeline running 4-hour-old data; and a rights-management system that nobody trusts during contract negotiation. Media engineering succeeds when rights, content, and audience workflows are all primary scope, not when one of them is phase 2.
Prosigns ships media engineering with rights as a first-class concern. Streaming infrastructure designed for peak audience load, recommendation engines that respect editorial curation, content-workflow tools designed against actual production realities, and audience analytics with the freshness audience teams actually need. CORTEX handles recommendations and audience AI; FORGE handles workflow and rights tooling; FOUNDATION handles audience-data substrate.
Where we ship
6 workloads, grounded in this sector.
Specific applications we’ve built and operated for media & entertainment buyers. Every example below is grounded in a real shipped engagement.
- 02
Content distribution platforms
B2B content distribution to broadcasters, syndicators, and digital partners. Rights-aware delivery, format conversion, and the audit-trail tooling rights holders demand.
- 03
Recommendation engines
Personalization that respects editorial curation, with explicit guardrails against filter bubbles, content-policy enforcement, and the explainability dashboards editorial teams actually use.
- 04
Audience analytics
Real-time and longitudinal audience analytics, churn prediction, segmentation, and the integration with marketing operations that turns insight into action.
- 05
Rights management
Rights-aware platforms with explicit territorial / windowing / version control, integration with downstream distribution, and the audit trail rights negotiations actually require.
- 06
AI for content operations
Automated tagging, transcript generation, scene detection, content summarization, and accessibility AI, engineered against editorial standards and rights constraints.
Quick read
In plain terms: we map the compliance frame, ship the core workflow, and operate the system with named owners and measurable targets.
- - Streaming infrastructure: shipped for production teams.
- - Content distribution platforms: shipped for production teams.
- - Recommendation engines: shipped for production teams.
How we engage
4 phases, named in the SOW.
Each phase has a deliverable, an owner, and an acceptance criterion specific to media & entertainment delivery.
- 01
Rights-and-audience reality
Discovery includes rights complexity (territorial, windowing, version, syndication), audience operating cadence (peak events, seasonal patterns), and the integration surface with editorial, finance, and rights-management systems. Architecture lands against this reality.
- 02
Streaming-grade engineering
Multi-CDN architecture for live events, DRM integration that respects rights frame, latency budgets calibrated to user impact, and chaos-engineered failure modes ahead of major events.
- 03
Editorial-respecting personalization
Recommendation engines designed to surface editorial curation rather than override it. Explicit content-policy enforcement, filter-bubble guardrails, and explainability dashboards editorial teams trust.
- 04
Operating cadence
Pre-event readiness, war-room cadence during major releases, and post-event retrospective. Audience-data freshness SLAs, rights-system integration health, and the operational tooling editorial and audience teams use day to day.
Practices in media & entertainment
How each practice plays in this sector.
The capabilities below are scoped to the constraints media & entertainment procurement actually enforces: compliance, audit, data residency, and vendor risk.
- 01FOUNDATION + SKYWAY
Platform & Cloud
Cloud architecture, DevOps, SRE, migrations, data engineering.
Open the practiceIn Media & Entertainment
Streaming infrastructure with multi-CDN, peak-event resilience, and the FinOps discipline streaming volatility requires.
- 02CORTEX
AI & Machine Learning
Generative AI, agents, computer vision, predictive analytics, and MLOps, engineered for production.
Open the practiceIn Media & Entertainment
Recommendation engines, audience analytics, content tagging / summarization, and editorial-respecting AI. With explicit guardrails against filter bubbles.
- 03FORGE
Custom Software
SaaS, enterprise applications, legacy modernization, integrations, and mobile.
Open the practiceIn Media & Entertainment
Content workflow tools, rights management, B2B distribution platforms, and editorial systems, engineered against actual production realities.
- 04CANVAS
Design & UX
Research, design systems, enterprise product design.
Open the practiceIn Media & Entertainment
Consumer-facing streaming UX, editorial tooling design, and the design systems that span apps, web, and TV surfaces.
Selected work
Quantified outcomes, not adjectives.
Common questions
Asked before the first call.
- 01
Can you handle live-event scale?
Yes: multi-CDN architecture, peak-event readiness rehearsals, and chaos-engineered failure modes 4–6 weeks before major events. War-room cadence during peak weeks, post-event retrospective. Most clients see 5–10x peak-concurrency capacity vs their prior architecture.
- 02
How do you handle DRM?
Multi-DRM (Widevine, FairPlay, PlayReady) integration as primary scope, rights-aware key management, and the operational discipline DRM workflows require. We tell you when DRM is being deployed where it adds complexity without value.
- 03
Can you integrate with our rights and royalty systems?
Yes: major rights / royalty platforms (Vistex, Korbyt, custom in-house) are in our active engagement portfolio. We treat rights integration as primary scope, not phase 2, with explicit handling of territorial, windowing, and version semantics.
- 04
How do you balance personalization with editorial?
Recommendation engines designed to surface editorial curation rather than override it. Explicit blending of editorial picks and personalization, with editorial-team-facing explainability dashboards. We tell you when an algorithmic-only approach is producing engagement at the cost of brand identity.
- 05
Do you do AI for content operations?
Yes: automated tagging, transcript generation, scene detection, content summarization, and accessibility AI (captions, audio descriptions). All engineered against editorial standards, rights constraints, and the WCAG accessibility frame consumer media should default to.
- 06
What does a media engagement cost?
Discovery: 3–6 weeks, $50K–$150K. Streaming platform build or rebuild: 6–12 months, $800K–$3M. Recommendation / personalization: 4–8 months, $300K–$1M. Rights management platform: 6–12 months, $500K–$2M. Managed Services: $40K–$200K monthly retainer.
Talk to us
Bring a media & entertainment problem. We’ll bring a senior engineer.
A senior engineer plus the relevant department lead joins the first call. No discovery gauntlet, no junior reps.