Streaming load that breaks the engineering budget
Live sport, tentpole drops, and personalised recommendation traffic test infrastructure in ways batch workloads don’t. Cost discipline has to ride alongside reliability.
Trusted by Sky, Sony, and WPP. AI-native engineering for broadcasters, streaming services, ad tech, and telecom operators – streaming platforms, OSS/BSS modernisation, recommendation systems, and customer experience that hold up under real load.
Trusted by Sky, Sony, WPP
Live sport, tentpole drops, and personalised recommendation traffic test infrastructure in ways batch workloads don’t. Cost discipline has to ride alongside reliability.
Telecoms billing, order management, and provisioning systems often pre-date the products built on top of them. New offerings get throttled by the platforms underneath.
Third-party cookies, consent regimes, and platform restrictions have changed targeting and measurement. AI helps – but only when the data foundations are honest about consent.
Set-top boxes, consumer-electronics devices, and CPE need long-running update strategies, secure provisioning, and observability across millions of endpoints.
Built for the latency, scale, and content-rights constraints that the sector enforces by default. Cross-linked to sector accelerators and cloud consultancy where relevant.
Reference architectures for live and VOD streaming, AI-assisted FinOps for peak events, and content-rights-aware routing. Built to keep up with both load and licensing.
Domain decomposition of legacy billing, order, and provisioning systems. Event-streamed cores and API-first product factories without breaking the live customer base.
Production recommendation engines, A/B-tested at scale, with the explainability and editorial controls broadcasters and publishers need to trust them.
Consent-aware data clean rooms, attribution modelling, and measurement systems that work in a post-cookie world – built with senior data and AI practitioners.
Secure provisioning, long-running OTA pipelines, and fleet observability for set-top boxes, consumer electronics, and CPE estates.
Unified subscriber 360, AI-assisted care, and churn-prediction models grounded in the streaming and telecom signals that actually predict cancellation.
Full case studies live in the case studies archive.
Common questions we get from senior technology leaders evaluating this work. Direct answers, no hedging. Open one to read in full.
Decomposing legacy billing, order management, and provisioning into event-streamed, API-first services. New products launch against the new platform. Legacy products migrate one customer segment at a time. AI-assisted code translation accelerates the refactor. The cut-over plan protects the customer base – the part most OSS programmes stall on.
Design for peak before the first live event, never after. Reference architectures for live and VOD streaming. AI-assisted FinOps that forecasts cost before the tentpole drops. Content-rights-aware routing handling licensing geography correctly. The peak load test happens in pre-production. Broadcast night is the wrong place to discover a capacity problem.
Yes. Modern recommendation systems support hard editorial rules (promote this title; never show this title in this region), soft constraints like genre balance and recency weighting, and A/B testing the editorial team configures themselves. The AI optimises within the rules the business sets. The business stays in charge.
Data clean rooms. Consent-aware attribution. Measurement frameworks that don’t rely on third-party cookies. We build the engineering layer – clean room infrastructure, privacy-preserving identity, attribution models – and pair it with senior data and AI practitioners who can interpret the signal in a noisier measurement environment.
Yes. Secure provisioning. OTA pipelines that survive years in the field without bricking the fleet. Observability across millions of endpoints. Our consumer electronics case studies cover network value protection at the £100M+ scale, including device security for a Tier 1 brand.
Send us a brief and we’ll come back within one working day with a senior practitioner who has run streaming, OSS/BSS, or ad-tech delivery before.