MEDIA & MARKETING
Technology services for media and marketing
We help media and marketing teams connect content workflows, audience data and publishing platforms. AI-assisted production is designed around brand review and approval, while platform engineering supports campaign delivery and audience engagement.
- Generative content pipelines with human review gates
- Personalisation matched to audience intent
- Consent-first audience data, targeting you can switch off
Content operations with clear review and ownership.
More formats and channels increase the need for connected workflows and consistent information.
Production handoffs
Briefing, adaptation and approval can become disconnected as content moves between teams.
Audience information
Engagement data across channels needs consistent definitions and permitted use.
Brand review
AI-assisted assets need traceable versions, review responsibilities and publishing controls.
Capabilities for content and audience platforms.
Explore the engineering services behind content workflows, audience data and reliable campaign delivery.
AI-assisted content production
Generative AI content pipelines with human review and brand controls, with defined editorial approval before publication.
EXPLORE02Personalise at scale across channels
Models that match message, format, and offer to audience intent, so relevance rises without manual segmentation for every cut.
EXPLORE03Understand audiences from fragmented data
Unified audience data platforms with governance and lineage, turning scattered engagement into a clear view.
EXPLORE04Take manual steps out of campaign operations
Orchestrated automation across production, tagging, and publishing, so teams spend time on creative judgement.
EXPLORE05Scale delivery for launches and spikes
Elastic, observable cloud platforms for high-traffic moments, so launches hold up under load.
EXPLOREPlatform engineering for webinar delivery.
EASYWEBINAR · WEBINAR AND AUDIENCE PLATFORM5.9M+
Live and automated webinar delivery.
Softobiz rebuilt EasyWebinar into a platform for streaming, registration, automated replays and engagement analytics. A published 2019 case-study snapshot records the audience scale shown here.
From approved brief to measured campaign.
An approved brief needs multiple versions
AI assists with drafts and adaptations using approved material. Editors review the output and record approval before publication.
An asset needs a market-specific release
Version, language and channel requirements travel with the asset. The responsible reviewer checks the local adaptation before scheduling it.
A campaign needs a consistent performance view
Permitted engagement data is brought together with agreed definitions. Marketing teams use the resulting view to decide what to change.
Editorial and audience data controls.
Generative content runs through review and approval gates with designated owners checking brand voice, factual accuracy and appropriateness before publishing. Version and approval records support traceability.
Audience data is handled on a consent-first basis, respecting privacy regulations and the permissions consumers actually granted, with targeting you can explain and switch off on request.
We design against the failure mode that defines AI in marketing: volume that outruns oversight and puts something off-brand or non-compliant in front of the public. Automating production never means automating away accountability.
Continuity across campaigns and channels.
Through our Global Capability Centre and dedicated-team model, you get a persistent pod that learns your brand voice, channels, and audience data and keeps improving the pipelines campaign after campaign.
You can begin with a scoped assistant or content pilot and assess the results before expanding.
Questions about content and audience platforms.
We begin with your current workflow and the integration options of the tools involved. The aim is to define useful connections and changes rather than assume a platform replacement.
Your designated editors or brand owners retain approval. We design version tracking, review steps and publishing permissions around those responsibilities.
It demonstrates our platform-engineering experience in live and automated webinars, registration and audience engagement. It is not presented as evidence for every proposed generative-AI use case.
Discuss your content and audience platforms.
We can help define a bounded workflow or platform improvement, including the review and data controls it requires.