When your product outgrows its architecture, adding servers isn't the answer. We re-engineer backends for concurrency, implement intelligent caching, optimize database performance, and build auto-scaling infrastructure.
Performance engineering for high-growth products. Backend optimization, infrastructure scaling, reliability engineering, and GPU workload management.
Architect and build backend systems that handle millions of requests. Event-driven architectures, message queues, distributed databases, and microservices designed for horizontal scaling.
Production-grade infrastructure for AI workloads. Model serving, GPU optimization, training pipelines, and inference scaling — built for reliability at high throughput.
Optimize cloud infrastructure for performance and cost efficiency. Right-sizing, auto-scaling, caching layers, CDN configuration, and observability — reducing your cloud bill while improving response times.
Build systems that stay up when it matters most. SRE practices, incident management, chaos engineering, and performance optimization for applications that can't afford downtime.
Case studies from our scale solutions

A media company needed a comprehensive platform to manage their video content lifecycle from upload to encoding to multi-channel distribution, supporting different output specifications for each distribution partner.

A media company needed to launch Free Ad-Supported Streaming Television (FAST) channels — 24/7 linear streams of curated video content delivered over HLS to smart TVs, set-top boxes, and web/mobile players, monetized through programmatic ad insertion.

A media company needed to establish reliable, low-latency contribution feeds for their FAST channels using the Secure Reliable Transport (SRT) protocol — enabling high-quality content ingest from remote studios, cloud playout systems, and syndication partners over unpredictable internet connections.

A streaming media company needed a robust, automated pipeline for injecting SCTE-35 ad markers into live and VOD streams, along with the ability to insert promotional trailers (pre-roll, mid-roll, and post-roll) at precisely timed positions — enabling monetization across FAST channels, live events, and on-demand content libraries.

The surveillance platform needed a reliable, scalable system to manage hundreds of camera streams with automatic lifecycle management, ensuring streams are available on demand without wasting resources.

A surveillance platform needed to scale its video streaming infrastructure dynamically — handling anywhere from 10 to 200+ IP cameras with hundreds of concurrent viewers and AI processing workers — while guaranteeing zero packet loss during scaling operations and maintaining stable stream URLs that never change.
Projects from our scale solutions

An integrated fitness and nutrition platform delivering personalized coaching, meal planning, and workout management with AI-driven recommendations and multi-agent coaching system.
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A comprehensive platform that empowers users to improve their overall health and well-being through personalised coaching and wellness programs with challenges, rewards, and real-time communication.
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An end-to-end streaming infrastructure built for Maponga Studios — spanning a React Web App for asset and channel management, a sister Encoder App with SSO, a NestJS backend, and two AWS Lambda functions orchestrating MediaLive, MediaPackage, MediaTailor, and MediaConvert for one-click FAST channel deployment with SCTE-35 ad insertion.
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