Platforms that carry content, memberships, messaging and payments as one scalable experience your audience can grow into.
- Scalable platform architecture for content and community
- Memberships, messaging and payment integration
- Engineering for peaks, reliability and secure operation
Context-aware recommendations evaluated by multiple agents before they reach a viewer, with acceptance measured, not assumed.
- Context-aware recommendation copilots
- Multi-agent evaluation across quality, cost and variety
- Acceptance and engagement measurement built in
Imagery and content assets generated on demand instead of produced over months, with brand review in the loop.
- On-demand AI imagery and asset generation
- Channel-ready content workflows
- Brand and accuracy review checkpoints
One harmonized ontology across titles, assets, rights and channels, built for AI to consume as readily as your systems.
- Content metadata harmonization at scale
- Semantic and LLM-layer record matching
- Rights and channel data normalization
Conversational AI that keeps members engaged after signup: personalized, grounded in your content and always on brand.
- GenAI personalized engagement
- Smart recommendations across content and connections
- Human review on tone and brand
AI-driven test generation across apps, devices and platforms, for release confidence on every screen your audience watches.
- End-to-end test architecture across devices
- AI test generation for deeper coverage
- Automation woven into release pipelines
Media Platform · GenAI · Membership Content & Community Platform
The Challenge
- Audience engagement spread across disconnected touchpoints
- Premium content without a platform built to carry it
- Memberships, messaging and payments to run at scale
Our Approach
- GenAI-powered personalized engagement
- Smart recommendations across content and connections
- Tiered memberships, messaging and secure payments built in
Outcomes
Recommendations · Delivered in Food Services · Recommendation Co-Pilot in Daily Use
The Challenge
- Complex planning across teams and preferences
- Dynamic preferences and trends to keep up with
- Cost pressure on every recommendation
Our Approach
- Domain data enriched for AI consumption
- A context-aware AI recommendation co-pilot
- Multi-agent evaluation across quality, cost and variety
- A unified, reimagined user experience
Outcomes
Content Ops · Delivered in Food Services · AI Imagery at Production Speed
The Challenge
- Manual, error-prone content data entry
- Imagery slow and costly to produce
- Bad data driving support tickets
Our Approach
- AI validation of content data before it goes live
- AI imagery generated on demand
- Cloud signage and screen integration
Outcomes
Production-Grade Delivery
Human in the Loop, Always
Peaks as a Design Input
Production, Not Pilots
Discover
Design
Build
Run & Scale
Generation runs behind brand and accuracy review and is grounded in your approved assets, so nothing ships that your team did not clear.
Evaluation covers variety as well as relevance before a viewer sees anything, and acceptance is measured in production rather than assumed.
Peaks are engineered for up front: load design, testing and monitoring are planned against your release calendar, not discovered during it.
Through harmonization: one governed model across titles, assets, rights and channels, so every system reads the same truth.
Yes. We integrate with the stack you run and deliver through it, rather than asking your operation to move.
