The average streaming subscriber abandons a platform in under 90 days if the content discovery experience disappoints them. Kalp Corporate builds the AI recommendation engines, scalable streaming infrastructure, and audience intelligence systems that keep viewers watching, subscribers staying, and creators growing their audiences.
From the AI that decides what appears on every user’s homepage to the infrastructure that delivers it in under two seconds at global scale, we build the full media technology stack that modern audiences demand.
Discuss Your Media Roadmap →End-to-end OTT platform development with adaptive bitrate streaming (HLS/DASH), multi-CDN delivery, live and VOD transcoding, DRM integration, subscription management, and apps for web, iOS, Android, and connected TV — engineered for millions of concurrent viewers.
Collaborative filtering, content-based, and deep learning recommendation models personalising home screens, search ranking, auto-play, and push notifications — delivering measurable watch time and subscriber retention uplift from day one of production deployment.
Real-time content performance dashboards, cohort retention analysis, completion rate funnels, A/B testing infrastructure, demographic breakdowns, and predictive churn models — giving editorial, product, and commercial teams the data to act, not just observe.
Subscription tiers, pay-per-view, tipping and virtual gifting, brand partnership tools, merchandise integration, and creator analytics dashboards — giving content creators the complete monetisation infrastructure to build sustainable businesses around their audiences.
Headless CMS platforms for publishers, news organisations, and digital media brands — with AI-assisted content tagging, SEO optimisation, personalised article feeds, paywall and metered access, and newsletter and push notification delivery at scale.
Server-side ad insertion (SSAI), programmatic ad platform integration, contextual targeting, FAST channel distribution infrastructure, brand safety tools, and the audience data platforms that make media inventory more valuable to advertisers and less intrusive to viewers.
Media platforms face unique challenges: unpredictable peak traffic, cold-start recommendation problems, and audiences that make cancellation decisions in seconds. Our methodology is designed around those realities.
Existing viewing data assessment, content catalogue analysis, recommendation system gap review, subscription and churn pattern review, and infrastructure scalability audit — identifying the highest-impact opportunities before any build decision.
Streaming infrastructure design for peak elasticity, recommendation engine data model and training pipeline design, content metadata schema, subscription and entitlement architecture, and the CDN and origin strategy for global low-latency delivery.
Agile development with recommendation model training on historical viewing data, A/B testing infrastructure setup, streaming quality validation at simulated peak load, DRM integration testing, and subscription payment flow end-to-end verification.
Staged audience rollout, recommendation model retraining as viewing data accumulates, churn prediction model refinement, A/B testing of content positioning and subscription offers, and ongoing audience intelligence reporting for editorial and commercial leadership.
Video streaming at scale is one of the most demanding infrastructure problems in software engineering. We have delivered systems serving millions of concurrent viewers across multiple continents under live event conditions.
HLS and DASH adaptive bitrate streaming with multi-CDN distribution (Cloudflare, Akamai, AWS CloudFront), origin shielding, live transcoding pipelines, thumbnail generation, and sub-2-second stream start time engineering validated under peak load.
Two-tower retrieval and ranking models, matrix factorisation, session-based sequential recommendation, and real-time feature stores — with online/offline evaluation frameworks, cold-start handling for new users and content, and continuous retraining pipelines.
Multi-DRM implementation covering Widevine (Android/Chrome), FairPlay (iOS/Safari), and PlayReady (Windows/Xbox), token-based licence delivery, offline download protection, and watermarking for forensic leak detection on premium content.
Sub-second play event ingestion via Apache Kafka, real-time retention curve calculation, concurrent viewer tracking, quality-of-experience monitoring, and operational dashboards that update in real time during live events and premiere releases.
Multi-tier subscription management, paywall and metered access, promotional pricing, in-app purchase integration with Apple and Google, dunning management, and the entitlement system that controls content access across every device and profile simultaneously.
SSAI/DAI implementation that stitches targeted ads into the video manifest server-side — eliminating ad blockers, ensuring seamless playback quality, and enabling personalised ad delivery at the individual viewer level across live and VOD streams.
Every technology chosen for streaming performance, recommendation accuracy, and the elastic scalability that live events and viral moments demand without warning.
Book a free 60-minute commerce strategy consultation. We will audit your current funnel, identify your highest-ROI technology opportunities, and propose a platform roadmap — no obligation to proceed.
AI is only as good as the data feeding it. We build the pipelines, warehouses, and governance frameworks your ML models depend on for reliable, consistent performance.
Cloud infrastructure without security architecture is a liability. We embed security into every layer — from IAM policies and network segmentation to runtime threat detection.
Embed intelligence directly into your custom software — predictive features, NLP interfaces, recommendation engines, and automation that compounds value over time.