SpherexAI
Designing a Global Content Intelligence Platform
that reduces ratings submission time by 70%
and scaled to 200+ markets
Overview
I led the end-to-end design of SpherexAI — a scalable platform that enables global studios and streamers to automate age ratings, flag objectionable content, and prepare content for international release. SpherexAI integrates explainable AI with human-centered tools to power trust and operational efficiency across 200+ markets.
Company
My Role
AI/ML Experience Designer, sole designer
Platform
B2B Web Application
Team
Worked closely with Product, AI Engineers, and International Compliance Experts
Outcome
- 70% reduction in ratings submission time
- 1M+ ratings delivered annually across 200+ countries and territories
- 100% customer retention & enterprise expansion
- Secured partnerships with AWS & DPP
- Recognized with Best of Show at IBC2024 & nominated for DEG EnTech Award
- Named one of Streaming Media Magazine's 2024 Streaming Media 100
SpherexAI’s content intelligence dashboard
Delivering scene and event level insights for global compliance, trusted by top studios worldwide.
Impact
- Helped global content teams scale compliance workflows with transparency
- Enabled faster time-to-market while improving trust in AI-driven results
- Powered brand-safe metadata for contextual advertising and global monetization
- Established Spherex as a credible partner to major media platforms
My Role & Contributions
- Led all design from vision to delivery as the sole product designer
- Partnered with PMs, ML engineers, and executive stakeholders
- Conducted research and interviews with compliance analysts and global ops teams
- Designed workflows and tools for ratings, objectionable content, and metadata
- Built and maintained the responsive Figma design system across surfaces
- Facilitated usability testing and iterative refinement
The Solution
SpherexAI enables users to:
- Submit content and generate explainable, region-specific age ratings
- Compare rating criteria across multiple global markets and audiences to support regional accuracy
- Detected age rating compliance at the scene level — including age rating, scene description, and category (e.g. violence, profanity)
- Detected objectionable content (OC) at the event level — with scene description, category, and subcategory
- Understand cultural justifications behind rating decisions
- Export localized metadata for regulators and ad partners
- Align human reviewers with AI through explainable and intuitive interfaces
The Challenge
Studios struggle with regulatory complexity when distributing content globally. Regulations around age ratings, cultural sensitivities, and advertiser requirements differ across 200+ countries and territories. Manual, opaque processes delay launches and increase legal and reputational risk. Our goal was to create a transparent, scalable platform that leverages AI for global compliance.
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