Embedded decision engine for streaming platforms
Flinix uses the provider’s catalogue, account taste profiles, mood, time available, selected viewer profiles, and family-safety context to return one playable recommendation.
The problem
Users browse, hesitate, compare options, scroll again, and leave. The catalogue is full, but the decision moment is still fragile.
The solution
It does not replace the streaming platform’s catalogue, player, or recommendation system. It uses those assets more effectively by combining provider data with real-time intent signals and returning a clear, playable result.
How it works
Flinix receives the provider’s playable catalogue, metadata, runtime, ratings, and availability.
The engine uses account-level profiles, viewing history, preference signals, and household context.
The widget asks only what matters now: mood, time, viewer profiles, or family-safety needs.
Flinix sends back title IDs, match reasons, and analytics events for platform measurement.
Product modes
Flinix addresses the most common hesitation points inside streaming platforms: choosing alone, agreeing together, and finding family-safe content adults are still likely to enjoy.
Matches profile taste with current mood and available time to reduce browsing friction.
Combines multiple selected profiles to find the strongest shared match.
Combines child safety, parent taste, watch history freshness, content type, and time available.
Family Mode
Flinix goes beyond basic parental controls. It recommends age-safe titles that children can watch and adults are still likely to enjoy, while reducing repeated suggestions the household has already seen too often.
Safe for ages 6–8 · Matches Alex’s profile · Not recently watched
Platform value
The POC should prove whether Flinix converts hesitant browsing into playback faster than the standard catalogue experience.
| Metric area | What Flinix aims to improve | Why platforms care |
|---|---|---|
| Time-to-play | Reduce the time between browsing and playback start. | Less hesitation, fewer abandoned sessions. |
| Playback starts | Convert more “I don’t know what to watch” moments. | More sessions become monetizable viewing. |
| Watch quality | Improve fit using taste profile plus real-time context. | Better recommendations can support watch time and satisfaction. |
| Household engagement | Support solo, together, and family co-viewing decisions. | More utility across the full account, not only one user profile. |
What Flinix aims to improve: Reduce the time between browsing and playback start.
Why platforms care: Less hesitation, fewer abandoned sessions.
What Flinix aims to improve: Convert more "I don't know what to watch" moments.
Why platforms care: More sessions become monetizable viewing.
What Flinix aims to improve: Improve fit using taste profile plus real-time context.
Why platforms care: Better recommendations can support watch time and satisfaction.
What Flinix aims to improve: Support solo, together, and family co-viewing decisions.
Why platforms care: More utility across the full account, not only one user profile.
POC readiness
The current product is designed to validate decision rescue inside a streaming environment with measurable event tracking from entry point to playback.
Event measurement
The key comparison is simple: Flinix-assisted sessions versus normal browsing sessions across time-to-play, playback start rate, and watch duration.
Integration
Flinix can be implemented as an embedded widget or JS SDK. The provider remains the source of truth for catalogue availability, account profiles, and playback.
// Example SDK initialization Flinix.init({ platformId: "streaming-provider", sessionId: "hashed-session-id", locale: "en-US", catalogEndpoint: "/api/catalog", profileEndpoint: "/api/profiles", onRecommendation: ({ titleId }) => { platform.play(titleId); } });
Our team
A diverse team of experts in UX, software architecture, creative strategy, and business development.
8+ years of experience in retention, UX, and user journey strategy, building product experiences that balance user needs with measurable business outcomes across engagement, conversion, and long-term value.
10+ years of experience in complex software development, IoT systems, and blockchain-based technology.
Creative Strategy Director with 17+ years of experience across the global film and media industry, spanning production, talent, IP, and next-generation digital infrastructure, with a strong focus on connecting storytelling vision to scalable digital product strategy.
Lead Product Engineer with deep experience in web application architecture, React-based frontend development, blockchain and smart contract systems, and building technically demanding products with a strong focus on scalability, usability, and execution quality.
President of Theatre Management Associates, LLC (TMA Movies) Publisher, Film Analyst, Consultant, 55 year film industry veteran (Distribution, exhibition, Marketing, Production, Film Newsletter publisher). Member of the Variety Club International, Motion Picture Pioneers and Rotary International
Doctor / Medical Coder Partner & RCM Director at Doctor Billing Experts LLC
Request a POC
Share a few details and we will follow up with a product walkthrough, integration overview, and POC measurement plan.