Esports BroadcastersProduction teams drowning in manual work
Scoreboards, overlays, stats, and match data are managed by hand during broadcasts — increasing error risk and pulling focus away from production quality exactly when it matters most.
Solutions / Broadcasting Companies
Infrastructure, Live Data& Viewer Engagement Systemsfor Esports BroadcastersInfrastructure, Live Data& Viewer Engagement Systemsfor Esports Broadcasters
From real-time data pipelines and production support systems to viewer-facing engagement layers — built for broadcasting companies that operate live, at scale, under pressure.
Trusted by esports teams and brands
problems streaming & media agencies face
Scoreboards, overlays, stats, and match data are managed by hand during broadcasts — increasing error risk and pulling focus away from production quality exactly when it matters most.
Live data that arrives too late
When match stats, player data, and event triggers aren't integrated directly into the production workflow, real-time accuracy becomes a constant gamble rather than a guarantee.
Viewer experience that stops at the stream
Audiences watch — but there's nothing pulling them into the broadcast beyond passive viewing. No live interaction layer, no prediction mechanics, no reason to stay engaged during downtime between matches.
Overlays and graphics disconnected from live data
Static or manually updated graphics slow down production and create inconsistency. Dynamic, data-driven overlays that respond to live match events are the standard — but hard to build without the right infrastructure.
Systems not built for broadcast scale
Platforms stable in testing expose their limits under real broadcast load — high concurrency, simultaneous streams, and global audiences create pressure that generic infrastructure can't absorb.
What we deliver and why it works
Most broadcasting companies have production capability — but not the infrastructure to make it fast, data-driven, and scalable. That's the gap this solves.
Real-time data pipelines, live scoring systems, stream analytics, chat tracking, and broadcast support tools — so your production team has accurate, automated information flowing into every corner of the workflow.
Production & data layer
Real-time data pipelines, live scoring systems, stream analytics, chat tracking, and broadcast support tools — so your production team has accurate, automated information flowing into every corner of the workflow.
Overlay & visualization layer
Dynamic overlay systems, data-driven graphics, live stats integration, and caption infrastructure — so every broadcast surface updates automatically and reflects what's happening in the match in real time.
Viewer engagement layer
Prediction mechanics, live interaction systems, in-stream engagement features, and viewer retention tools — so your audience participates in the broadcast, not just watches it.
Why it works:
A broadcast is a live product with zero tolerance for failure. Every system — data, production, and viewer experience — needs to run as one connected infrastructure, not a collection of patched-together tools.
Why it works
A broadcast is a live product with zero tolerance for failure. Every system — data, production, and viewer experience — needs to run as one connected infrastructure, not a collection of patched-together tools.
Our Approach
Structure before features
Every project starts with a clear map of how live data, production workflows, and viewer systems interact — so your broadcast infrastructure has a solid foundation before any surface is built on top of it.
Built around real broadcast workflows
From pre-show data preparation and live match coverage through post-event reporting — every system reflects how your production team actually operates under broadcast conditions.
Built for broadcast-grade reliability
Low latency, real-time data delivery, and stability under simultaneous multi-stream load — so nothing fails during match point, tournament finals, or a global concurrent viewer spike.
Validated before it goes live
Core assumptions about data flows, overlay logic, and production integrations get tested through AI prototypes early — before any system touches a live broadcast environment.
Designed to scale across titles and formats
Modular architecture means new game titles, broadcast formats, data sources, and engagement features get integrated without disrupting the production infrastructure already in place.
Results Across Projects
[ FEATURED CASES ]
Real-Time Broadcast & Data Systems
Turned live data into production-ready tools and viewer-facing experiences.
- Real-time stream analytics & chat tracking
- Live broadcast support systems
- Reduced manual production workload
- Increased in-stream engagement
StarLadder
Case Coming Soon
Real-Time Broadcast & Data Systems
Turned live data into production-ready tools and viewer-facing experiences.
- Real-time stream analytics & chat tracking
- Live broadcast support systems
- Reduced manual production workload
- Increased in-stream engagement
WhyWork with27 NERDS?
Built inside esports and gaming
We speak the same language — understanding live data, game stats, and product logic without explanation.
Full-cycle execution
Strategy → Design → Development → Integration → Optimization
Speed without compromise
Fast execution without compromising product structure or scalability.
Built for outcomes
Engagement. Retention. Scale. Revenue.
FAQ
Real-time data pipelines, live scoring and stats infrastructure, dynamic overlay systems, stream analytics tools, chat tracking, broadcast support platforms, and viewer engagement mechanics — built around real production workflows and broadcast-grade reliability requirements.
Start with an AI prototype
See how your feature, flow, or idea works in practice — with real logic, data, and interaction.
Turn your idea into a working product concept in 2–3 days — validate logic, features, and user flows before investing in full development.
- Align on product structure and scope
- Test core ideas with real interactions
- Validate before committing budget