INDUSTRY · MEDIA
At media scale, content systems are data systems.
We build CMS backends, hybrid recommendation engines, and ad stack infrastructure that handle 10M+ monthly readers and 200M+ monthly events without the editorial workflow becoming the bottleneck.
WHY
At media scale, content systems are data systems. We've built CMS backends that power 10M+ monthly readers, with content pipelines that handle ingest, enrichment, tagging, and distribution across 6+ channels simultaneously. The editorial workflow sits on top of infrastructure that never becomes the bottleneck.
Recommendation engines for content require more than collaborative filtering. Cold start is a daily problem when 500+ pieces of content publish every day. We built hybrid recommendation systems that blend content embeddings, engagement signals, and editorial weights to drive 40%+ longer session duration without sacrificing editorial control.
Ad revenue optimization is a data infrastructure problem. Viewability measurement, yield management, and programmatic demand stacking require millisecond-level decisioning and clean event attribution. We built the ad stack infrastructure that maximizes CPM without degrading the reader experience.
WHAT WE BUILD
Relevant capabilities
CAPABILITY · 01
Custom Platforms
Headless CMS backends, editorial workflow tools, and multi-channel publishing systems.
Learn more →
CAPABILITY · 02
AI & Machine Learning
Content recommendation engines, topic modeling, automated tagging, and reader churn prediction.
Learn more →
CAPABILITY · 03
Data Engineering
Audience analytics pipelines, engagement event tracking, and ad impression data warehouses.
Learn more →
CAPABILITY · 04
Algorithms & Optimization
Ad yield optimization, content ranking algorithms, and A/B testing frameworks for editorial decisions.
Learn more →
CAPABILITY · 05
Infrastructure & DevOps
CDN architecture, edge caching strategy, and high-availability systems for traffic spike handling.
Learn more →
CAPABILITY · 06
Web & Mobile Applications
High-performance reader experiences optimized for Core Web Vitals, subscriptions, and ad revenue.
Learn more →
PIPELINE OBSERVABILITY
Content-pipeline observability
At 500+ pieces per day across 6 distribution channels, a content pipeline fails silently if you do not instrument it. We track every piece from ingest to last-mile delivery: editorial state transition, embedding generation latency, tag-extraction completeness, CDN purge confirmation, social-syndication ack, RSS feed publish, push-notification delivery. Each stage emits a structured event with content_id, stage, latency_ms, status. A piece that should be on Twitter in 90 seconds but is not gets paged at 180. Stale-content detection catches anything stuck in a state for longer than the SLO. Dashboards roll up by channel, by author, by content class. When the editor asks 'why is this not on the homepage yet', the answer is a click, not a Slack thread. Channel SLO breach rate stays under 0.5% measured monthly.
SAMPLE WORK
What we've shipped
Content platform backend serving 10M+ monthly readers with multi-channel distribution across web, email, and mobile.
Hybrid recommendation engine combining content embeddings and engagement signals, increasing session duration by 40%.
Ad stack infrastructure with viewability measurement and programmatic demand stacking that lifted CPM by 28%.
Audience analytics pipeline processing 200M+ engagement events per month with real-time segment membership.
Got a project in this space?
Tell us what you are trying to build. Fixed price, full IP transfer, production in weeks.
Start a Project