Most entertainment platforms don't struggle with features; they struggle with concurrency, catalog complexity, and the cost of streaming infrastructure when audiences arrive. We make engineering decisions with those three factors in mind first
We create AI that is ready for use, including reliable fallback options, catalog-wide tagging, and regular drift testing, enabling you to manage the entire lifecycle of the model from its development and launch all the way through to continuous monitoring.
In order to deal with traffic spikes we make use of autoscaling, CDN edge delivery, dynamic bitrate ladders, and queued ingestion, all of which are backed by cloud and DevOps engineering that has been designed for high-volume entertainment so that we can always be ready for increased demand.
We customise your home screen, search facility, notifications, and email by taking into account information regarding your behaviour, the metadata of the content, the device you are using, and the time of day in order to help you boost your watch time and retention.
One team is responsible for product design, the backend, the streaming infrastructure, the apps, and the data; this eliminates the gaps that arise when work is handed over to different vendors and ensures that the UI/UX, the cross-platform apps, and the platform engineering are aligned so that you can move faster through the use of a single team.
We protect the content by means of DRM, token-based playback, watermarking, geo and device restrictions, and by giving different access rights depending on the user's role, and at the same time apply data security and privacy measures that vary by region so that you can keep the content secure.
Our method makes use of specific and measurable objectives such as conversion rate, churn rate, ARPU, watch time, and ad fill rate, and involves platform monitoring which demonstrates business value within weeks of launching so that you are able to quickly prove the ROI.
We look at the entire product surface, including both the core platform engineering and the AI and revenue layers built on top. Engagement can begin at any layer.
We provide custom software development services for media businesses that have moved beyond off-the-shelf tools. Our work includes developing content pipelines, rights and metadata models, publishing workflows, audience data layers, and admin consoles. This basic layer supports streaming, music, and fan products.
We have developed consumer applications for iOS, Android, web, and connected TV, focusing on content discovery and playback. We provide features such as offline downloads, cross-device playback resumption, profiles, parental controls, and in-app purchase processes. Our approach supports both native and cross-platform solutions, with the right choice based on your release schedule and performance goals.
We offer audio streaming products that include catalog ingestion, playlists, artist pages, lyrics, and social sharing features. Our services include low-latency audio delivery, gapless playback, offline caching, and play reporting ready for royalty payments. The recommendation and radio features use the same personalization system as our video platforms.
We provide video platforms that support on-demand content, live broadcasts, and hybrid delivery. We develop transcoding pipelines, dynamic bitrate packaging, DRM integration, support for subtitles and multiple audio tracks, an EPG for live channels, and CDN configuration. Applications for use on mobile devices, the web, smart TVs, and set-top boxes all use the same backend and entitlement system.
We use AI to improve business metrics, for example, by automatically tagging metadata, detecting scenes, selecting thumbnails, moderating content, managing subtitle and dubbing workflows, and providing AI assistants to support the audience. Our machine learning solutions team develops these as services that your product teams can call.
The ranking and recommendation frameworks are designed around catalog size and audience maturity. To address the cold start problem, we use content-based similarity, then add collaborative signals as we collect behavioral data. We send each ranking change as an experiment so you can measure its impact on watch time and retention.
We provide features such as communities, creator profiles, memberships, comments, polls, watch parties, and exclusive drops. We develop content moderation tools and reputation systems alongside these features, since unmoderated communities quickly become problems for support and branding. We use engagement data to create the same audience profile used for personalization.
We build systems that organize large libraries and guarantee adherence to rights requirements. We design ingestion workflows, versioning procedures, metadata schemas, and asset search facilities. Rights windows determine what can be played and where and when.
We provide live video with chat, reactions, tipping, co-streaming, and moderation. We engineer low-latency delivery, stream health monitoring, failover, and VOD recording. We also carry out concurrency planning and load testing before each scheduled event, not after the first outage.
We provide revenue infrastructure for subscriptions, transactional purchases, advertising, and combined models, including plan and price-tier creation, free trials, promotions, dunning, proration, regional pricing, and paywall logic. For ad-supported products, we offer server-side ad insertion and reporting that is consistent with your ad partners.
The reward system includes streaks, points, badges, missions, referral programs, and reward tiers to encourage repeat visits. We design the reward economy, so incentives won't negatively affect profit margins. We link loyalty data to your CRM and business systems to enable lifecycle marketing campaigns.
On each device, whether it's a phone, tablet, web browser, TV, or car, we offer a single watchlist, a single playback position, and one account. We create shared entitlement and profile services so device teams don't have to duplicate logic. The design system ensures a consistent user experience while accounting for each platform's input model.
Developing a clone entails creating a product based on the feature model of a leading company in the market. You then get a workflow that has already been tested and runs on your infrastructure using your data. Each subsequent version is individually engineered and provided to you as code you own.
We have developed a subscription video platform which includes catalog browsing, personalized rails, profiles, offline downloads, and playback across multiple devices. Our responsibilities involve building the transcoding and DRM pipeline, the entitlement service, and the billing integration. The smart TV and mobile apps use the same backend.
The audio streaming product includes features such as playlists, follows, artist pages, radio, and offline listening. We provide the system for ingesting the catalog, reporting plays for royalties, and developing recommendation features. The service supports both the free and premium versions using a single subscription system.
It is a short-video app with a vertical feed, an in-app camera, a range of effects and sounds, duets, and a ranking system. We design the upload and transcoding process to be fast, since publish time affects creator retention. We incorporate moderation from the very beginning.
A creator video platform with channels, subscriptions, comments, playlists, and monetization features. We develop the upload pipeline, watch page, search, and creator analytics dashboard. The platform handles revenue sharing and payout reporting, so you don't have to use spreadsheets.
A live streaming platform with channels, chat, subscriptions, tipping, clips, and archives of on-demand videos. We provide the technology needed to ingest content, deliver it with low latency, and moderate chat at scale. Streamers have dashboards that show stream health and earnings.
The platform is a marketplace that allows personalized video requests and includes talent profiles, booking facilities, request briefs, delivery deadlines, and escrow payments. We develop the two-sided workflow, the review system, and the dispute-handling process. The platform also includes features for onboarding and verifying talent.
We provide a membership platform that includes creator pages, different benefit levels, restricted posts, member-only messaging, and recurring billing. We create the entitlement logic so that a member's access matches their tier on both the web and the app. Creators also receive payout reports and visibility into churn.
We are developing a vertical drama app featuring micro episodes, coin wallets, paid access, and daily rewards. We build the pay-per-episode economy, ad-based access, and retention cycles this format relies on while giving content teams control over scheduling and release windows.
Scope affects cost, not the hourly rate. More than any other factor, the number depends on four things: the area to be delivered, the amount of content, the need for live elements, and the complexity of the rights. Dealing with these four points at the start makes the difference between a predictable budget and one that keeps changing.
| Cost driver | Why it moves the number | What to decide before you scope |
|---|---|---|
| Delivery surface | Each platform beyond mobile and web adds its own build, QA, and store or certification cycle. | Which of mobile, web, smart TV, and set-top box are required at launch versus phase two? |
| Content volume and formats | Transcoding, storage, and CDN spend scale with library size, bitrate ladders, and audio tracks | Catalog size at launch, target resolutions, and subtitle and language requirements |
| Live streaming | Live adds ingest, redundancy, real-time chat, and event load testing on top of the VOD stack | Whether live is at launch, how many concurrent events, and expected peak viewers |
| DRM and rights complexity | Multi-DRM, geo restrictions, and rights windows add integration and rules engine work | Which territories, which studios or licensors, and which device DRM systems are mandatory |
| AI and personalization depth | Rule-based rails are quick. Trained ranking models require data pipelines and evaluation | Whether personalization ships at launch or after behavioral data accumulates |
| Monetization model | Subscriptions, transactions, and advertising each carry separate billing and reporting work. | Single model at launch or hybrid, and which payment and ad partners are fixed |
| Integrations | Payment, CRM, analytics, ad servers, and existing CMS each need mapping and testing | Which systems must be connected on day one, and which can follow? |
| Compliance and accessibility | Regional privacy rules, age gating, and captioning standards add design and QA scope. | Operating regions, audience age ranges, and accessibility standards you must meet |
The best way to control costs is to build in stages: launch the part of the product most important for generating revenue, validate the retention metric, then increase the number of devices and the depth of the AI based on data from the actual audience.
Our Approach
We have a six-stage process intended to reduce risk at each stage, and we take no action until the prior stage has made a decision, not just produced a document
Audience goals, content model, rights rules, monetization plan, and success metrics are defined.
Streaming, data, and application architecture chosen against peak load and catalog size.
Flows and interfaces for discovery, playback, subscription, and creator or admin tools.
Two-week sprints delivering working software, with playback and billing prioritized early.
Store submissions, monitored rollout, then experimentation on retention and revenue metrics In most cases, playback, entitlement, and billing are developed first because these areas involve the greatest integration and therefore get the most time and room to work with.
Reviews
FAQs
The cost depends on the target market, catalog size, the need for live streaming, DRM requirements, and the monetization model. An MVP designed for a single platform is considerably less expensive than a multi-device streaming service that includes live events. After the discovery workshop, we determine a fixed estimate.
An MVP focused on one or two platforms usually launches within a few months. In contrast, a complete multi-device streaming system, including DRM, live streaming, and monetization, takes longer. The time required varies by the number of devices, the number of integrations, and the complexity of the content operations.
Core features include content discovery, search, playback, profiles, watchlists, and account management. Revenue features include subscriptions, purchases, and the paywall. Retention features include personalization, notifications, offline access, and the ability to resume watching across devices.
Yes, we build mobile, web, smart TV, and set-top box applications that share one backend, and we provide VOD, live, and hybrid platforms with transcoding pipelines, dynamic bitrate delivery, multi-DRM, subtitles, multi-audio tracks, CDN configuration, and entitlement services.
Yes, we develop applications for iOS, Android, the web, Apple TV, Android TV, Fire TV, Roku, and the major smart TV platforms. Since all customers connect to a common backend, their entitlements, profiles, and playback position stay consistent across devices.
We provide support for subscriptions, one-off purchases, advertising, memberships, tipping, and combined models. The platform includes features for billing, trials, promotions, regional pricing, and paywall rules. Ad-supported products use server-side ad insertion and reporting.
AI enhances discovery through recommendations and search ranking. AI lowers content operations costs through automatic tagging, scene detection, subtitles, and moderation. It also supports audiences through AI assistants that answer questions about billing and playback.
To handle peak concurrency, we use autoscaling services, CDN edge delivery, dynamic bitrate ladders, caching layers, and queue-based processing. Before any launch and before scheduled events, we run load testing, and during live traffic we have monitoring and failover in place.
Content is protected through multi-DRM, token-based playback authorization, watermarking, and controls based on geo-location and device. User data is secured through encryption, role-specific access control, audit logging, and privacy settings that comply with the regions you operate in.
Yes. We integrate video platforms, CDNs, payment gateways, app store billing, CRM, marketing automation, ad servers, analytics tools, and existing content management systems. We map integrations during discovery so nothing surfaces late.
Yes. We build audio platforms with catalog ingestion, playlists, artist pages, radio, offline listening, gapless playback, and social sharing. Play reporting supports royalty accounting, and recommendations use the same personalization stack as our video products.
White-label suits fast validation with standard features. Custom suits businesses whose rights model, monetization, or personalization is the differentiator. If your roadmap depends on control of the content or revenue logic, build custom.
Pick the step that fits where you are in the decision.
Book a technical discovery call if you are scoping a new platform. We review your content model, audience goals, and monetization plan, then return a phased scope with a cost model.
Request a platform assessment if you already run a product that is straining. We audit architecture, streaming cost, and retention metrics, then return a prioritized modernization plan.
Start with a specialist pod if you want to prove one outcome first. Personalization, revenue, or content operations are the usual entry points. Measure each one against a metric agreed before work begins.