Proven in production media operations.
Our media work includes a cloud-native AWS processing and delivery platform for a Hollywood media-processing lab, where 95% of orders now process automatically, throughput reached 5–6K orders per month, and delivery turnaround dropped from days to hours.
Who this is for.
We work with media, streaming, content operations, and video-platform teams that need software around asset intake, processing, quality control, encoding, packaging, delivery, and operational visibility.
That includes media-processing labs, content service providers, VOD and streaming platforms, rights-heavy media businesses, hospitality or aviation entertainment providers, and internal operations teams responsible for moving video from source to platform-ready deliverable.
Typical products include media workflow platforms, asset catalogues, order and fulfilment systems, QC tools, encoding pipelines, operator dashboards, AI-assisted screening tools, and integrations with storage, transfer, encoding, and playback infrastructure.
When teams bring us in.
Teams usually come to us when a media workflow has outgrown manual processes, desktop tools, local scripts, or disconnected systems.
That may mean rebuilding an on-premise processing workflow in the cloud, automating ingest and QC, reducing turnaround time, integrating transfer and delivery channels, improving asset cataloguing, or making encoding and packaging more observable and reliable.
We are a good fit when the product sits across media operations, cloud architecture, workflow automation, video processing, metadata, security requirements, and the realities of high-volume content delivery.
The problem media teams keep hitting.
Most media operations teams do not struggle because video is hard to play. They struggle because every title arrives with a different source, format, language set, rights window, delivery target, and technical specification.
The difficult work happens before anything reaches the viewer: ordering content, acquiring files, matching subtitles and dubs, checking quality, applying required edits, encoding to the right profiles, and proving that the final package is fit for the platform it is going to.
What we actually build, in order.
We build media workflow systems: the operational layer that tracks an asset from request to source acquisition, preparation, quality control, encoding, approval, and delivery.
We work across Azure and AWS. For media processing and delivery workloads, AWS is often our preferred starting point because of its managed media services. Its managed media services give us a strong base for encoding, packaging, transport, storage, delivery, and event-driven workflow automation.
Around that core, we build encoding pipelines, VOD and streaming platforms, AI-assisted screening tools, metadata services, operator dashboards, and integrations with distributors, storage, cloud encoding infrastructure, and playback platforms.
How we engage, and where it ends.
Two engineers embed for a sprint. We read the workflow, the queues, the encoding profiles, the failure cases, the QA rules, the delivery specs, and the operational runbook.
If a larger build is warranted, we form a small media pod — usually 4 to 8 engineers — focused on one part of the chain: acquisition, processing, quality control, encoding, delivery, screening, or operations.
What we don't do.
We do not sell content, licences, cameras, production hardware, CDN capacity, or off-the-shelf media products. We build the software layer that makes media operations work.
We also avoid work where the real answer is to simplify an existing workflow and remove three tools, not add a fourth.