DCT brings together product thinking, engineering expertise and deep technology experience to build, modernize and scale digital products that create lasting business value.
Product teams need more than development capacity. They need engineering decisions that hold up when the product meets real users, existing systems, changing requirements, and production pressure.
Five stages that carry a product from opportunity to production and keep it there.
Technology · Enterprise Software
The billing logic was undocumented, so understanding it took days and depended on whoever wrote it. Four workstreams competed for the same engineering capacity. Manual testing fell behind every round of changes, and live game schedules ruled out maintenance windows.
DCT applied AI across the full engineering lifecycle rather than only at code generation, mapping billing logic in hours, surfacing payment and authentication edge cases before anything was rewritten, generating tests alongside each change, and producing documentation as the code moved.
80%
faster legacy code analysis
40%
shorter delivery cycles
100%
passive subscriber migration
Nothing was replaced before it was understood. Existing subscriptions moved to the new platform intact with no customer action, while platform, CMS, billing and analytics all progressed at the same time.
Media & Entertainment · Streaming
The catalogue was strong. Discovery was the constraint. Viewers decided in seconds, and a library surfaced broadly could not reflect individual intent. Audience groups went stale between updates, lapsing viewers were spotted after engagement had dropped, and market entry could not wait for a build.
DCT deployed Pulse and Flow on Xpresso. Pulse analyses viewing patterns, updates segments against current behaviour, and personalises recommendations that sharpen with each session. Flow triggers retention journeys from those signals and runs them end to end.
50,000+
subscribers in the first quarter
Two
products on one platform
Continuous
personalisation with every session
The platform learns from every session. Viewing and engagement patterns feed programming decisions, and the loop between what viewers watch and what they are shown next tightens on its own.
Media & Entertainment · Campaign Operations
Campaigns tracked live events and match reminders, so volume was high and timing tight. The creative moved fast; production did not. Responsive HTML was built by hand for every send, tokens were checked one campaign at a time, and approved work was pushed to Optimove manually.
DCT built Forge and Flow into the existing ecosystem. Forge turns a written description or reference image into production-ready HTML and regenerates only the component that changed. Flow moves campaigns through review stages and automates delivery into Optimove.
85%
faster email builds
90%
faster publishing into Optimove
80%
less personalization setup
The brand rules went in before the automation. Guidelines, templates, personalization schemas and approval stages were built into the platform first, so marketers gained production speed without loosening brand control.
Technology · Enterprise Software
Engineers were losing hours to the work around the code. Requirements were gathered across Jira, Confluence and other sources. Designs were rebuilt by eye instead of read from the design file. Boundary tests were written by hand or skipped near a release, and demo data was crafted before every review.
DCT applied AI across the whole lifecycle rather than only at code generation, reading requirements from the issue tracker and tokens from the design tool, generating tests with each change, surfacing standards issues before human review, and producing demo data on demand.
75%
faster requirements analysis
80%
faster test creation
90%
faster demo & QA data prep
More features shipped, with no rise in escaped defects. Tests, code review and documentation now happen alongside the code instead of after it, so the requirement, the design and what actually ships stay in step.
DCT Product Engineering covers front-end and back-end development, APIs, QA, and DevOps. It spans the full lifecycle, from shaping product requirements to launch and production readiness.
Yes. DCT engineers work alongside existing teams to add engineering depth, support delivery priorities, and improve architecture, helping move product work toward production faster.
DCT does both. Services cover new builds, prototypes, and MVPs, as well as platform enhancements, modernization, and ongoing improvement of existing products.
DCT connects product decisions to architecture, integration, QA, DevOps, and reliability. This ensures the product performs inside its real operating environment from day one.
Yes. DCT continues supporting products post-launch through maintenance, enhancements, integrations, and performance improvements as requirements evolve.
