We build media and entertainment apps for OTT platforms, music streaming services, content aggregators, ad-supported media businesses, and digital rights management systems.
Every platform is built for the technical requirements the media industry operates under. That covers adaptive bitrate streaming using HLS and DASH, DRM-protected content delivery via Widevine, FairPlay, and PlayReady, CDN-integrated video pipelines through Akamai, AWS CloudFront, and Cloudflare, AVOD, SVOD, and TVOD monetisation models, and AI-powered content recommendation engines.
We build custom media and entertainment software that supports the full content lifecycle, from video ingest and transcoding to secure streaming and global delivery. Our solutions include FFmpeg and AWS Elemental MediaConvert for video processing, HLS and MPEG-DASH for adaptive streaming, DRM playback with Widevine, FairPlay, and PlayReady, and CDN delivery via Akamai, AWS CloudFront, and Cloudflare enhanced with AI-powered content recommendations.v
Digital Asset Management (DAM) systems centralise media files, video masters, audio assets, image libraries, and metadata, in a secure, searchable environment with version control, intelligent auto-tagging, access permissions by role and team, and integration with production pipelines (Adobe Creative Cloud, Avid Media Composer, Final Cut Pro). We build custom DAM platforms for media companies that have outgrown generic file storage and need asset governance at production scale.
Ad tech platforms for media companies cover the full programmatic advertising stack, VAST/VMAP/VPAID-compliant video ad serving, real-time bidding (RTB) infrastructure, demand-side platform (DSP) integrations, server-side ad insertion (SSAI) for pre-roll and mid-roll placement without buffering, and campaign analytics dashboards. We build ad tech infrastructure for AVOD (advertising-based video on demand) platforms that need programmatic revenue without compromising streaming performance.
Media analytics platforms surface the data that content and programming teams need: viewership by title, episode drop-off points, audience retention curves, content completion rates, churn predictors by subscriber segment, and campaign attribution. We build analytics pipelines using Snowflake or BigQuery as the data warehouse layer, dbt for transformation, and custom dashboards or embedded BI tools (Metabase, Superset) for editorial and programming team access.
AI personalisation in media platforms covers content recommendation (collaborative filtering, content-based filtering), personalised playlist generation, watch-next algorithms trained on viewing behaviour, thumbnail personalisation, and viewing pattern analysis. We integrate AI recommendation engines using TensorFlow or PyTorch for custom models, or AWS Personalize and Google Recommendations AI for platforms where managed ML services reduce time-to-market. For editorial-controlled personalisation, we build rule-based curation layers alongside ML models.
Cloud media infrastructure for streaming platforms covers video ingest and transcoding pipelines (AWS Elemental MediaLive for live streaming, MediaConvert for VOD), origin storage (S3, Google Cloud Storage), CDN distribution (Akamai, AWS CloudFront, Cloudflare) for low-latency global delivery, and media workflow orchestration. We build cloud media backends on AWS, Google Cloud, or Azure, selecting the platform based on your existing tooling, geographic delivery requirements, and budget for egress costs.
We build OTT streaming apps for web, iOS, Android, smart TV including Apple TV, Android TV, Roku, and Fire TV, and connected devices with HLS and DASH adaptive bitrate streaming, Widevine, FairPlay, and PlayReady DRM for protected content, server-side ad insertion for AVOD monetisation, and video player integration using Video.js and Shaka Player for web. Transcoding pipelines use AWS Elemental MediaConvert or FFmpeg to convert uploaded masters into the delivery formats each device requires.
We build music streaming apps with audio delivery via HLS, progressive download, and offline caching covering track library management, smart queue and playlist generation, personalized listening recommendations, lyrics display, cross-device playback sync, and subscription billing integration. Audio streaming infrastructure is built for continuous uninterrupted listening with background playback support on iOS and Android, and peak-load resilience for new release launch events.
We build social media apps for photo and video sharing with AI-powered editing tools including real-time filters, object removal, background replacement, and auto-enhancement. Features include geo-tagged content delivery, collaborative album tools, AI-based content moderation, and personalized discovery feeds ranked by engagement signals. Architecture covers media storage and CDN delivery for user-generated content at scale.
We build social media apps for photo and video sharing with AI-powered editing tools including real-time filters, object removal, background replacement, and auto-enhancement. Features include geo-tagged content delivery, collaborative album tools, AI-based content moderation, and personalized discovery feeds ranked by engagement signals. Architecture covers media storage and CDN delivery for user-generated content at scale.
We build content aggregation platforms that pull video, audio, and editorial content from multiple sources into a unified, personalised feed. Aggregation engines connect to publisher RSS feeds, APIs, and licensed content libraries with AI ranking signals adjusting content ordering based on individual user behaviour, time-of-day patterns, and content category preferences. Architecture covers ingestion pipeline reliability, deduplication logic, and real-time feed refresh.
We build cloud-native media workflow platforms covering video ingest, automated transcoding, metadata management, review and approval workflows, and multi-platform distribution from a single interface. Platforms replace disconnected on-premise editing and delivery infrastructure with cloud-based equivalents reducing infrastructure costs, enabling remote collaboration, and providing real-time visibility into content status across the production and distribution pipeline.
We build media applications that extend content delivery to connected devices beyond phones and computers smart TVs, wearables, interactive kiosks, and venue display systems. IoT integration covers device management, real-time content push, sensor-triggered content delivery, and synchronised multi-screen experiences for live events and venue-based entertainment. Architecture covers device registration, low-latency content delivery, and offline fallback for environments with unreliable connectivity.
We build data pipelines that process large-scale audience behaviour data viewing sessions, content interactions, search queries, and subscription events into analytics outputs for programming, content acquisition, and marketing teams. Pipelines use Snowflake or BigQuery as the data warehouse, debt for transformation, and real-time streaming with Apache Kafka for event-driven analytics. Outputs cover content performance dashboards, audience segmentation models, and churn prediction signals.
Licensed content, film, television, music, sports, cannot be delivered without Digital Rights Management. We implement all three major DRM systems: Widevine (Google) for Android, Chrome, and Chromecast; FairPlay (Apple) for iOS, macOS, Safari, and Apple TV; and PlayReady (Microsoft) for Windows and Edge. For platforms delivering to all device types simultaneously, we integrate multi-DRM licence management via PallyCon or BuyDRM, a single server issuing the correct DRM licence for each device without the platform managing three separate systems. DRM is scoped and tested at the architecture phase, not added before launch.
Adaptive bitrate streaming is what prevents a stream from buffering when a viewer's network slows down; the player automatically switches to a lower quality tier rather than pausing. We package content in both HLS (HTTP Live Streaming, required for Apple devices and Safari) and DASH (Dynamic Adaptive Streaming over HTTP, used across Android, Chrome, and web), so every device receives the format it requires. Adaptive bitrate ladders are configured per platform; a smart TV serving a living room audience needs a different quality tier set than a mobile app serving commuters on cellular. We test bitrate switching behaviour under simulated network degradation as part of QA, not after launch.
A CDN (Content Delivery Network) is what puts your video content physically close to the viewer reducing the distance data travels and the latency a viewer experiences before playback starts. We configure CDN delivery for media platforms using Akamai (enterprise-grade, industry standard for large OTT platforms), AWS CloudFront (cost-effective for AWS-hosted platforms), or Cloudflare (strong for platforms needing DDoS protection alongside delivery). CDN selection is not one-size-fits-all. Akamai has the largest edge network for global reach but charges accordingly; CloudFront is economical for AWS-native platforms with moderate global traffic. We advise on CDN selection based on your audience geography, peak concurrent stream estimates, and egress budget before architecture begins.
The monetization model determines the entire commercial architecture of a streaming platform. AVOD (advertising-based video on demand) requires ad serving infrastructure, VAST/VMAP-compliant ad tags, server-side ad insertion (SSAI) to prevent ad blockers from stripping pre-rolls and mid-rolls, demand-side platform (DSP) integrations for programmatic inventory, and ad analytics. SVOD (subscription video on demand) requires a billing platform (Stripe, Chargebee), subscription plan management, trial period logic, dunning for failed payments, and subscriber analytics for churn monitoring. TVOD (transactional, pay-per-view or rental) requires purchase flows, rental window enforcement via DRM licence expiry, and receipt management. We scope monetisation architecture at discovery, not after the product is built, because each model has different infrastructure, compliance, and analytics requirements.
Media platforms serving children under 13 in the US must comply with COPPA (Children's Online Privacy Protection Act), prohibiting behavioural tracking, targeted advertising, and collection of personal information without verifiable parental consent. For EU-market platforms, GDPR applies to all personal data collected from EU residents, including viewing history, device identifiers, and account data. The EU's AVMS Directive (Audiovisual Media Services Directive) additionally requires platforms with a significant EU audience to ensure 30% of their catalogue is European content. We map all applicable compliance requirements at the discovery phase, COPPA, GDPR, AVMS, and any market-specific broadcast regulations, and build the consent management, data handling architecture, and content quota tracking required before launch.
We start with a discovery phase covering your content type (live, VOD, user-generated), monetisation model (AVOD, SVOD, TVOD, or hybrid), target devices and platforms, DRM requirements for licensed content, CDN strategy, and compliance obligations (COPPA for children's platforms, GDPR for EU audiences). Output: a documented requirements specification covering content delivery architecture, monetisation implementation approach, and compliance framework, reviewed before any design or development begins.
Our UX team designs media interfaces around the specific consumption context, lean-back viewing (smart TV, Chromecast) requires large touch targets and remote-friendly navigation; lean-forward browsing (mobile, web) requires fast content discovery and frictionless playback. We design separately for each device class rather than adapting a single layout. Deliverables include annotated wireframes for each platform, a component library, and interactive prototypes validated with representative users before development begins.
Development covers the full media technology stack video ingest and transcoding pipelines using FFmpeg and AWS Elemental, adaptive streaming packaging in HLS and DASH, DRM integration via Widevine, FairPlay, and PlayReady, CDN configuration across Akamai, CloudFront, and Cloudflare, ad insertion using SSAI for AVOD, recommendation engine integration, and analytics event tracking. Development runs in two-week sprints with a working build at the end of each sprint your team tests actual streaming behaviour, not mockups.
QA for media platforms covers playback testing across all target devices and network conditions, adaptive bitrate switching validation (testing that streams correctly downgrade under bandwidth constraints), DRM licence acquisition testing, SSAI ad pod insertion verification, CDN performance benchmarking (Time to First Frame, rebuffering ratio), load testing for concurrent stream limits, and security testing including content protection bypass attempts. All test results are documented before release.
We deploy media apps with a phased rollout, starting with a limited audience cohort to validate streaming performance under real CDN load, DRM licence server behaviour, and ad insertion timing before full deployment. For OTT platforms, we handle submissions to Apple TV App Store, Roku Channel Store, Amazon Fire TV, and Google Play (Android TV) alongside iOS and Android mobile app submissions. Cloud media infrastructure is provisioned using Terraform for reproducible, version-controlled environment configuration.
Post-launch support covers CDN performance monitoring (rebuffering rate alerts, origin error tracking), DRM licence server health, ad fill rate monitoring for AVOD platforms, security patching, and feature development. We provide tiered SLAs covering streaming-affecting incidents as priority; a playback failure affecting a percentage of your audience is treated as a critical incident, regardless of time of day. Quarterly platform health reports cover streaming performance metrics, CDN cost optimisation, and recommendation engine accuracy.
DentaSmart is a mobile app that uses AI and 3D tech to simplify dental care, from early diagnosis to personalized treatment.
DentaSmart is a mobile app that uses AI and 3D tech to simplify dental care, from early diagnosis to personalized treatment.
There isn’t one fixed price because every project is different. The cost mostly depends on what you want to build and how complex it is. You can schedule a free consultation with our team to discuss your idea, explore options, and get a clear estimate based on your goals.
Every project goes through clear stages, research, design, development, testing, and review, so nothing feels rushed or uncertain.
Quality for us starts from how we plan, not just how we code.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
